TR202005800A2 - THE MACHINE THAT GROWS PLANT SEEDLINGS SIMULATED WITH ARTIFICIAL INTELLIGENCE - Google Patents

Abstract

This invention is for those who want to grow seedlings in large quantities: To simulate the plant growth environment under different climatic conditions, adjustable light, temperature, humidity, oxygen concentration and carbon dioxide concentration, where 2400 seedlings are grown simultaneously using solid plant growing medium in an area of 1 m². It relates to the production of a machine that uses artificial intelligence, a specialized system in seedling cultivation and a machine that does not require human intervention.

Description

DESCRIPTION THE MACHINE GROWING PLANT SEEDLES BY SIMULATED WITH ARTIFICIAL INTELLIGENCE TECHNICAL FIELD This invention is for those who want to grow seedlings in large quantities: 2400 in 1 m2 area seedlings are grown at the same time using solid growing media, different climatic conditions, adjustable light, temperature. humidity, oxygen concentration and To simulate the plant growth environment under carbon dioxide concentration A system and human resources specialized in growing seedlings using artificial intelligence. It relates to the production of a machine that does not require intervention.

KNOWN STATE OF THE TECHNIQUE Natural disasters as a result of climate change, soil and water resources Due to chemical pollution and the decrease in water resources, today only human It has become difficult to produce healthy and high quality food with its power. Besides, today's rapid technological developments, especially developments in information and communication technologies It has also affected agriculture and agricultural technologies, and smarter agriculture and machinery. revealed the systems.

Currently, seedlings made by planting seeds in the mortar put on the pillows in our country In the cultivation of vegetable seedlings, it takes an average of 30 days to reach the size that can be planted in the field. can reach. Depending on the air temperature in the seedling, the germination rate If the seedling is not used to the seed losses and the seedling is not accustomed to the outdoor conditions. It causes loss of seedlings during planting. Also in seed, resulting from micro-organisms present in the mortar or in the ambient air. cause serious economic losses to the sector in fungal diseases. is happening.

In order for the seedlings to show a good development, they should be taken care of from seed sowing. It requires a lot of attention and care. It must be done in the nursery maintenance tasks: timely and sufficient plant nutrition, weather conditions depending on irrigation, weeding, ventilation and disease and These are pesticides made with fungicide, herbicides and insecticides against pests.

The seedling process of agricultural products is also carried out in greenhouses. According to external environment Although it is more sheltered, the greenhouse temperature is not easy to control, the best seedlings it cannot grow in the environment, thus affecting the growing quality of plants.

A single-use viol called viol for the young period of seedlings and germination of the seed. plastic trays are used, it is necessary to use them in a single row. It limits the number of production in the area, increases the cost of production. In addition, irrigation water and fertilizers are not reusable and waste resources.

Seedling cultivation requires technical knowledge. The ignorance of the farmers is weak and low It causes them to produce productive seedlings. in the seedling growing process Chemical pollution caused by unconscious use of pesticides and chemical fertilizers Cancer nowadays, as they continue to exist in harvested vegetables. It is one of the main reasons for the spread of the disease.

The subject of this application is For the Producer Smart growing seedlings under controlled conditions. It is an agricultural machine. Our invention includes all the above-described has the ability to solve problems. Seedlings with precision agriculture technologies machines that grow will eliminate human-induced errors, inputs will be more effective. By using it, costs will be reduced and negative effects on the environment will be can be reduced.

This invention is for those who want to grow seedlings in large quantities: in 1 m2 area 2400 seedlings were grown at the same time using solid growing media, different climatic conditions, adjustable light, temperature, humidity, oxygen concentration and To simulate the plant growth environment under carbon dioxide concentration A system and human resources specialized in growing seedlings using artificial intelligence. It relates to the production of a machine that does not require intervention. Targeted Seedling Cultivation Machine Output While preventing the economic losses of the agricultural sector, the same At the same time, it also lays the foundation for the cultivation of high-quality vegetables with high productivity. will create.

From seed to seedling in a single environment, without human intervention in the market and industry Automation of the process until the moment it is put into the ground and the artificial No other machine has been detected as being managed by intelligence. by us The developed machine is a sensitive process of accelerated development in its own ecosystem. It will be equipped with advanced technology devices in order to control will be automated with software. Farmers choose the plant name they want to grow from the control panel, no operation other than placing the growing bands and removing the seedlings from the machine won't. We will connect the automatic seedling growing system to an automation and we will upload information about growing vegetables. By observing plant developments The process will be optimized. The automation controller observes each batch and suggestions to be made for faster growth of the next party. will give. In addition, some flavoring molecules in the plant were added to our algorithm. We will try to produce the necessary solution for maximum manipulation. Planting 2400 seedlings in 1 m2 area at the same time using solid growing medium. cultivation, different climatic conditions, adjustable light, temperature, humidity, oxygen plant growth medium under concentration and carbon dioxide concentration. the use of artificial intelligence to simulate Being a specialized system, providing 90% water savings in irrigation, seedlings shortening of the cultivation period, no need for pesticide use, agricultural that the activity does not cause environmental (soil-water-air) pollution, remotely with LOT monitoring, storage of big data in cloud memory and efficiency analysis use, plastic production wastes such as viol-tube-pot etc. are not formed, it will cost less, the whole process without human intervention management with automation will be the innovations that the invention will bring to the sector.

Our invention will also make great contributions to scientific knowledge in the agricultural sector. Because nowadays it is available for growing seedlings under controlled conditions. different from the approaches. These approaches are used to put the seeds into the viols pneumatically. Applications such as planting with machines, spraying, 002 fertilization, temperature control Although the work on the automation part includes mostly the planting of the obtained seedlings. related to the transfer to the field. In the seedling cultivation of the patented product, all these fully automatically in a single unit with a holistic approach. It seems to be an original product that it aims to achieve.

The opportunities provided by information technology have attracted the attention of those who have been engaged in agriculture for many years. In recent years and especially developed important developments in the direction of integration of information technologies into agriculture in societies has been recorded. Precision farming techniques, advanced information and control systems It is used in almost every period of plant production from tillage to harvest. can be used. In practice, soil analysis, tillage, planting, fertilization, spraying, monitoring crop conditions, and harvesting more effectively these techniques can be used. site specific agriculture business, computer aided agriculture, prescription agriculture, application of variable rate input, Examples such as point agriculture are counted among these applications. Source to prevent wastage, to increase the gross return of the product and to Among the targets of precision agriculture aiming to minimize environmental pollution; reducing chemical costs such as fertilizers and pesticides, reducing environmental pollution, for providing high quantity and quality products, for business and breeding decisions creating a record order in agriculture by providing a more effective flow of information can be counted.

It is suitable for soilless agriculture and vegetative cultivation, which is becoming more and more widespread today. Cultivation can be carried out on non-existent soils (such as rocky areas). Herb controlled feeding, plant development and product quality increase. water use efficiency is increasing. It uses less water and saves water. Productive Since it does not require soils, unproductive soils are evaluated. However It carries a great risk for manufacturers and the probability of making mistakes is high. This system It is a sensitive and time-consuming production system. The system needs constant monitoring, Pausing monitoring increases the risk of making mistakes.

This invention covers all current state-of-the-art techniques known and practiced in the agricultural industry. applications (LED lighting, tracking with sensors, image processing, photosynthesis) extension, hydroponic plant nutrition, heating, ventilation, CO2 dosing, soilless agriculture, LOT, Big Data records) as a single unit with a holistic approach artificial intelligence to simulate the plant growth environment by collecting completely overcomes the above problems by using

Generally, seedlings are used in the cultivation of vegetables and medicinal aromatic plants. breeding is done. In this way, during seed production, direct seed to the field to prevent the loss of seeds in sowing, to come to early harvest, It aims to obtain products with high efficiency and homogeneous quality.

Seedling cultivation requires technical knowledge. Farmers lack of technical knowledge and they could not grow their own seedlings because they could not fight against natural disasters. buys from greenhouses. In these greenhouses, due to the conditions and production methods, In the seedling growing process, which takes an average of 30 days, pesticides and pesticides are used very intensively. chemical fertilizers are used. This chemical pollution that occurs is primarily cancer. It is a situation that threatens public health by causing many chronic diseases such as forms.

Professional farmers who need a large number of seedlings with our machine it will start to grow its own healthy seedlings without using any pesticides.

The current product creates different climatic conditions in a closed environment by itself. It is a machine with artificial intelligence that will grow plants without its intervention.

The first version is the Producer type where farmers can produce the vegetable seedlings they need. It has been a vegetable seedling growing machine, using the same technology in different The machine that grows winter vegetable seedlings, the machine that grows ornamental plant seedlings with software, medical aromatic plant seedling growing machine, green herbaceous plants growing machine and Consumers will be able to grow their own vegetables in their own kitchens in 12 months of the year. It will be diversified as a vegetable growing machine.

The invention is suitable for use in all agricultural branches where seedlings are produced.

The machine, which is the subject of the invention, allows each farmer to grow his own seedling. and provides a great benefit in meeting the need for seedlings.

Another problem in vegetable and seedling growing is that good quality water in the world. water cannot be reached, and due to climate changes, water resources are increasing day by day. the day is decreasing.

The machine, which is the subject of the invention, saves 90% of water and does not use any pesticides or chemical fertilizers. by eliminating the possibility of being damaged by natural disasters, It allows the cultivation of plants without the need for intervention.

This invention is a smart farming method that grows seedlings under controlled conditions for the producer. machine. Machines that grow seedlings with precision agriculture technologies errors will be eliminated, inputs will be used more effectively and costs will be reduced and the negative effects on the environment can be reduced.

Plant seedling growing machine with intelligent decision support system; agriculture sector While preventing economic losses, high-quality vegetables with high productivity at the same time provides for its upbringing. In a single environment, without human intervention, Automating the process from seed to seedling and ensures that the process is managed by artificial intelligence. own echo To be able to precisely control the accelerated development process in the It provides automation with software.

Described with a tray for growing organic material containing LEDs. tray one includes an upper side and a lower side. The upper part is used to grow organic material. arranged to carry the substrate, and the substrate produced by LEDs it is arranged to spread the light. The tray is the upper part of the tray produced by the LEDs. It contains a structure in the part that allows it to radiate more heat from the bottom of the tray.

The tray provides an advanced care facility, where the ground is heated by the heat produced by the LEDs. In this way, heat air it is not wasted for heating, it is used to heat the soil, thus organic may have a higher average temperature than the air above the material.

The system mentioned in this invention is determined according to the type of plant for plant development. does not offer air conditioning system. LEDs can both heat the plant soil and used to provide lighting, but the control of this system is manually provided by the user. LEDs overheating and ground If the area is hotter than necessary, the plant will be damaged and its development will stop.

This is about plant seedling growing machine with intelligent decision support system. The invention is the intelligent control system that matches the ambient temperature with the air conditioning and It has a system that allows growing plants without soil. Besides LEDs provide the necessary heat for photosynthesis and the temperature of the environment If it is higher than necessary, it can control the ambient temperature with the ventilation feature. is balancing. With these features of the system, the above-mentioned problems are solved. completely overcomes it.

The system mentioned in the patent file with application number U, a common pump, valves, filter, drain, feed tank and nutrient feed medium. Additional stay of the base growing system horizontally or vertically in order to use It relates to an expandable aeroponic cultivation system that can add systems.

For placing different plant placements in the closed spray pod uses a root spray with an adjustable pattern. In addition, the nutrient medium In addition to increasing the oxygen content, it provides water and nutrients to the entire root of the plant. It uses a spray pattern designed to maximize feed. This The system is a semi-open system, and the roots of the plant are sprayed with nutrients and nutrients. related to irrigation. Nutrients and water withdrawn from the tank are transferred to the roots of the plant. It is applied periodically by spraying method. In this situation the warehouse requires constant feeding. Besides The spraying period is determined by the user specific to each plant. This The situation is a waste of time. Finally, each plant has a specific It does not have an air conditioning system. The plant is in an environment suitable for its own ecosystem. cannot show improvement.

This is about plant seedling growing machine with intelligent decision support system. Invention intelligent control system and enabling soilless plant cultivation Although it has a system of nutrients and irrigation provided to plant roots, It works automatically and reversibly. Irrigation suitable for every plant and The nutrient feeding period is determined by the system. system off It is a system that provides air-conditioning according to the type of plant in it. completely overcomes the problems mentioned for the file.

DESCRIPTION OF THE INVENTION The seedling growing machine is a sensor-based variable ratio of agricultural inputs. precision agriculture platform, compatible machine cabin and carrier system for application, detection and monitoring of variables affecting product quality, yield and yield. imaging systems, Agri-Tech, Sensor-assisted intelligent decision making applications and Software was developed using up-to-date advanced technologies. developed Continuous improvement of machine and seedling development with circuit control infrastructure and automation. tracking and recording, detailed data in the cloud with the communication interface It is provided to be recorded for analysis.

Technical components of the invention: With the established Intelligent Decision support system, making measurements, Image processing algorithms, location detection with radio frequency system, computer-independent control of the system, information by computer Data Acquisition (Data Collection) , Data Processing and Decision Making Making), application components detection, engine installation and creation of an integrated system, Remote Monitoring Module Developments (Mobile application), image processing algorithms, radio frequency location detection system, It is an artificial intelligence integrated system setup.

In the machine that is the subject of the invention: the seedling growing system depends on artificial intelligence It works and the plant needs water, humidity, temperature for photosynthesis, (302 , Growing seedlings by operating the light units according to the data received from the sensors. it provides. Crop tapes/substrates to the machine from the manufacturer the machine cover is closed. Which seed is planted by artificial intelligence? By recognizing that it belongs to the plant, the defined process belonging to 0 plants is started. Herb By observing their progress, it is possible to optimize the process.

Automation controller monitors each batch and makes the next batch faster. In addition to giving the necessary suggestions for growth, the system In the algorithm, the maximum number of flavoring molecules in the plant Necessary solutions for manipulation are also provided.

In the machine which is the subject of the invention; - In a controlled environment, the production inputs that the plant needs for photosynthesis disinfection, plant feeding and irrigation, heating, ventilation and 002 supplementation There is one unit for lighting with. -2400 seedlings, specially designed seedlings mounted at a 90 degree angle to the ground production by rotating the tripod 360 degrees around its own axis. benefit from its inputs equally.

- It is ensured that production is made in a sterile environment under healthy conditions. - In the planned cabin until the production turns from seed to dirty seedling, It takes place in specially designed seedling stand modules. -Special design PCB circuit boards for the operation of the units providing production input and sensors are used for measurements.

- Root with micro pulverization of plant nutrients as agroponics (aeroponic), It is given to the stem and leaves.

- Photosynthesis with night lighting in the atmosphere thanks to controlled transitions It is ensured that the duration is between 10 -22 hours.

- The entire seedling growth process without the need to transplant the plant to another environment It is carried out on the plant growing band where the seed is placed.

- In a much shorter time than normal times, compared to those grown in seedling greenhouses much less cost, greater quantity per unit area, much less Growing healthy and high quality organic seedlings using irrigation water is provided.

- With the developed circuit control infrastructure and automation, the machine and the seedling It is ensured that its development is constantly monitored and recorded.

- Recording of data in the cloud for detailed analysis with the communication interface is provided.

As explained above, advanced technique known and applied in the agricultural sector. all current applications (lighting with LED, extending photosynthesis time, hydroponic plant nutrition, heating, ventilation, CO2 dosing, hydroponic agriculture, IOT, Big Data records, measurement with sensors, pattern processing, data recording, data analysis, interpretation and management simulation of the plant growth process) The fact that it is carried out in a single unit with an approach makes our project unique.

In addition, a specialized system and human intervention in growing seedlings machine not required could not be detected.

Our Intelligent Agricultural Machines Growing Plants set a new era in vegetable growing it will start. The risk of climate change can be managed. needing lots of seedlings farmers will now start growing their own seedlings.

Professional farmers / producers HTG -FARIVIER i with a total area of 1 m2 in your home, warehouse, animal shelter, garage ... etc. in any environment will be able to use it comfortably without being affected by environmental conditions. buy vegetable seedlings will be able to easily buy the machine for the price he will pay for will be able to make a profit by amortizing the machine cost in a short period of time.

HTG, the plant seedling growing machine managed by Artificial Intelligence, which is the subject of the invention - FARMER : Machine Cabin, Seedling Stand, Touch Screen, Irrigation-Plant feeding and disinfection unit, lighting unit, heating unit, It consists of ventilation unit, Main Control Unit and auxiliary units.

We planned to allow the machine to create its own ecosystem by taking it into the cabin.

The plants should be in parallel rows on a rotating seedling stand. By having only 1 of each of the systems that will meet the demands, both the first facility save on costs as well as operating costs, but do this While doing this, we have taken into account to benefit all plants equally.

In the seedling growing machine, which is an integrated system machine, the seed disinfection, germination, the process of young seedlings and seedlings getting dirty. Design in such a way that 4 different processes that require 4 different environments take place in the same environment has been made. To obtain a successful seedling production process and healthy seedlings It is necessary to optimize the requests.

Growing seedlings, for which we have completed the beta prototype development work. real-time measurement and controls of humidity, light, temperature and 002 in the machine It is done using sensors and it is possible to meet the different demands of the plant in different periods. The applications with the software it is defined are managed from the Central control unit.

Apart from placing the grower's seed tape and removing the seedlings from the machine there is no other interference.

In the machine with the Intelligent Decision support system, the plant in the growing band It has artificial intelligence with visual detection that recognizes which plant the seed belongs to. the machine will start the program for 0 plants, when one of the 4 different development periods ends. the machine will decide to start the other one. The image to be taken from the plant (picture) and some artificial intelligence in the cloud environment with the data to be taken from the sensors. With the help of models, information extraction will be obtained from the data. Selection of models in the cloud will vary according to the data to be stored.

Each of the modules that make up the seedling stand in the middle of the machine cabinet They are modules manufactured in the form of modules and 5 of them are connected by placing them on top of each other.

Seedling stand, machine cabinet and movement by using the seedling stand shaft. It is fixed between the seedling stand motor and the motor support column. of the machine cabin The shaft of the seedling stand, which is located in the middle of the seedling stand and passes through the middle of the seedling stand, 360 degrees around the seedling stand's own axis as driven by the stand motor. degree allows it to cycle fully. It is mounted on circular floors in the form of stair steps at equal intervals. The plant growing bands obtained from the plant contain 1 seed in every 2,5 cm to ensure continuity. These are the bands with high absorbency organic properties.

The osmotic pressure in the soil is caused by the plant's water and plant nutrients. to eliminate the stress-retarding effect of the plant while benefiting soilless agriculture and plant roots in a very porous environment. It is aimed to accelerate plant development by providing Also, this anti In bacterial plant growing bands, vegetable seedlings complete the entire development process of 4 periods. can be completed in the same place without the need for relocation.

Plant feeding and irrigation is done agroponically. Via software The duration, interval, start time, etc. of the spraying process are controlled.

The liquid remaining after the application is in the liquid collection tray under the seedling stand. is accumulated. The returning liquid is passed through the tank inlet filter and the plant nutrient It is taken to the warehouse and used repeatedly, preventing waste of resources.

In our machine, we use artificial lights to provide the light that the plant needs for photosynthesis. we provide. Photosynthesis by providing intense lighting at night with LEDs We can increase the duration up to 22 hours. In the seedling period of the plant to be grown Different climate conditions for different requirements in germination, young seedling and ripening periods. conditions, adjustable light, temperature, humidity, oxygen concentration and carbon dioxide Artificial intelligence simulates the plant growth environment under concentration. This the invention is for people who want to grow seedlings in large quantities: 2400 in 1 m2 area seedlings in which 5 seedlings are grown simultaneously using solid growing media It is a specialized system for training.

The management we have now created to control the machine. By training the NN system over the data set in the automation, desired results can be obtained. When done, the system will be run on the learned data. This name is all different will be repeated for seed varieties. Thus, as a result of the process, seedling production machine will be fully automated. Recognition of seeds and It will be ensured that suitable growing parameters are found for each seed. This Fuzzy control with neural network is also considered for the process. (neuro- fuzzy system) The plant growing band and the seed band placed on it are in place. After disinfection, the machine decision support system in the main control unit management automation with software that defines the demands of the grown plant The seed is left to germinate by being tied.

Illumination is provided by the adjacent row of LEDs placed in the machine cabinet. Heating is with electric carbon film Heaters mounted on the inside of the machine. being provided.

Irrigation, Agroponic plant nutrition and disinfection will spray the plant. supplied by nozzles.

C02 enrichment is provided through the C02 tube.

The placement of the plants on the seedling stand, the roots are always at an angle of 90 0 to the ground. makes it stop, the roots, stem and leaves are watered through the nozzles and It is fed with liquid plant nutrients. In need of irrigation, the green leaves of the plant on the seedling stand are above the ground. lighting placed at the corners of the carrier system of the machine supplied from modules.

During the entire seedling development process, the drum will be determined as a drive from the electric motor. quickly turning 360 degrees around itself, watering plants, plant feeding, warming, Equal benefit from ventilation and lighting is provided.

The lighting time is 10 by commanding the lighting unit with the lighting controller. It is provided to work in the range of -22 hours / day.

One of the greatest needs of plant seed for germination is ambient temperature. The temperature in the plant environment will be controlled with the heat sensor on the heating unit, With the software to be made to the heater controller in the central controller unit, the plant uninterrupted occurrence of temperatures programmed according to the development phase will be provided. In this way, it differs in different ways according to the developmental stage of the plant. We need to be able to provide the temperatures needed by the seedling development period. when shortening, 3-4 days before transferring the seedlings to their places in the fields, The fact that we can apply low temperature to acclimatize to the conditions of the seedling and the quality of the seedlings. will increase efficiency.

Enrichment of seedling growing medium with CO2 CO; supplied with tube The ventilator is evenly distributed inside the cabin with the fan.

Evacuation of excess humidity and oxygen in the environment is provided by the aspirator fan. Farmers, seedlings grafted with the seeds of the vegetables they want to grow purchasing from our growing bands, placing them in the machine and controlling them There is no operation other than choosing the picture of the plant he wants to grow from the clipboard. does not. After the start of the electrical machine, the whole process decision support is carried out by the machine with the It ends when ready to meet information is sent.

In the mechanical equipment of the machine: In the seedling process, the photosynthesis need of the plant is met. to meet the optimum level: plant nutrition, irrigation, lighting, heating, All the necessary systems, such as ventilation, 002 dosing, are all in one It is integrated in the machine.

Mechanical hardware, software (Control Interface Embedded System Software, Server Data with Cloud, Backend, Backoffice Software, Communication Interface transfer and integration), Mobile Application, sensor technologies, automation, IOT Many applications have been developed, tested and used.

With the studies we have done, all the seedling growing purposes under controlled conditions. fully automatically in a single unit with a holistic approach. mechanical prototype that enables the realization of Vegetable Seedling Growing Machine Control Interface Embedded System Software and We have achieved Vegetable Seedling Growing Machine Management automation.

Random Decision Forests from Sensors with our artificial intelligence software (Decision Tree in the learning class) and Logistic Model Tree (in the Decision Tree learning class) Convolutional Neural using data to be retrieved with Network (Deep Learning) and Self Organizing Map (Unsupervised Learning) Simulate the production process by bringing the machine to artificial intelligence with we'll make it happen.

Thus, the human intelligence's reasoning process, the precision and speed of the computer. can be added.10 Embedded plant seedling growing machine with Intelligent Decision Support System on the software of the machine's cabinet by using the relevant modules in the operating system. air-conditioning in order to meet the demands of the plants at an optimal level. manages.

The programming language used is the embedded system integrated system with digital/analog outputs. It is managed by the circuit board. Can be connected to Dis Network via ethernet/wifi online-mode works as standard for all seedling growers.

Offline devices are reserved for the device in the microcontroller. by generating logs in the storage area, when the device has internet access is sent. However, the machine can work in offline mode. but the customer cannot get instant information of the device. Embedded circuit software It has the capacity to reach the Internet over the relevant protocols. Devices snapshot as a server software (broker) over the relevant protocol. is sharing. However, the user can access the device from the mobile application. can connect and have information about the situation. Devices also rest Process type started with requests made to APIs, daily data record, region...etc. infrastructure of all data used for software by sending data forms.

Data transmission is also processed, along with examining and interfacing. interpretation studies and their future as a commercial income model. to allow interpretation to allow the use of it provides.

However, embedded system software is connected to a common network and mobile Doing the authentication process by connecting with devices that have the application has the feature. Special software has been developed for each different integrated controller.

Server. It will provide two-way data flow with integrated software, phone and BackOffice. it is linked in . In this way, software data access/exchange tasks are performed on the server. is being done. Intelligent decision support system feature to the machine with server software is gaining.

The machines are the calculated data sets from the server that increase the success of the production. become more successful and controllable through server software has. Write - read to the database, authorize the phone with the machine, remote restart of the machine, update transmission to the machine, closure, smart warning system, number of farmers planting tomatoes in province X in May,10 background jobs carrying data of machine sensors on phone and more data Streaming can be done via server software.

BackOffice (in-house control screens) software by company employees is used. In case of need, data/log technical friends of the machine It has a viewable structure. The whole history of the reverse machine problem in case of need or a technical error It provides the identification of the source. BackOffice also provides mobile customer services. It is a platform where notifications can be viewed and answered through the application. platform form. Operations such as monitoring and querying from control screens is carried out. User with features such as machine restart - shutdown can remotely control the system by sending notifications through the application.

Adding a machine with the mobile application, instant reading of the sensor data of the machine, retrospective display of the machine's sensor data, any issue Processes of giving feedback about, alerting with instant notification can be done.

If the mobile application requires remote monitoring of the machine and seedlings, intervention is required. makes it possible. Big data about the process is in cloud memory It can be stored and used in inter-process efficiency analysis and communicated with the relevant authorities. is shared.

With the information about vegetable growing loaded into the decision support system. to be able to connect the automatic seedling growing system to an automation when desired. it provides.

By modeling software, information and logical inference mechanism, seedling information is stored and the inferences that will be made from this information later. optimizes the growth process. Thus, the reasoning of human intelligence process, especially by the server, by adding the precision and speed of the computer. can be completed with works.

In the machine which is the subject of the invention, the images (pictures) to be taken from the plant and the sensors information from the data with some artificial intelligence models in the cloud environment with the data to be taken. deduction will be obtained. The selection of models is based on the data to be stored in the cloud. will change.

Models suitable for image processing and machine learning; Convolutional Neural Network (Included in deep learning class) Self Organizing Map (Unsupervised learning method)10 Suitable models for the data to be received from the sensors; Random Decision Forests (included in the Decision Tree learning class) Logistic Model Tree (Included in the Decision Tree learning class) Other models used in artificial intelligence, etc.

These algorithms will be tested empirically and the most suitable model will be selected again.

Different results can be obtained in each model, so models and algorithms After the test is performed according to the data, the selection will be revealed. With this At the first stage, the above-mentioned models will be used in the project.

NN system over the sample data set to control the machine By training, when the desired results are obtained, the system over the learned data will be run. This process will be repeated for all different seed varieties. Like this As a result of the process, it was ensured that the sapling production machine was fully automated. will be. Recognition of seeds and proper cultivation for each seed parameters will be found. For this process, together with the neural network fuzzy control is also considered. (neuro-fuzzy system) Some software libraries will be used while creating the model. of the software The language in which it will be developed is determined as python. The coding language is simple, useful and Due to its speed, low cost has been taken into consideration while developing it.

However, we can request the libraries to be used as follows.

Tensorflow sklearn PyTorch Auxiliary libraries to be used in addition to these libraries: NumPy, Pandas, Matplotlib etc.

The seedling growing machine that will have Artificial Intelligence precision farming platform and machine for variable rate application based on to monitor the variables affecting the quality, yield and yield of the product in the cabinet detection and imaging systems, Agri-Tech (Agricultural Technologies), Sensor up-to-date advances in supported intelligent decision making applications and software developed using technologies. Developed circuit control infrastructure and Continuous monitoring and recording of machine and seedling development with automation Recording the data for detailed analysis in the cloud with the communication interface provided.10 Our current dataset, to which we have uploaded information about growing vegetable seedlings, and with the model we will create using our management automation that we have created. With our machine's Deep learning and unsupervised learning model, the process is further enhanced. We will make it manageable by improving it. drawings The invention will be described with reference to the accompanying figures so that the features of the invention will be more clearly understood and appreciated, but the purpose of this It's not about limiting yourself with regulations. On the contrary, the appended claims of the invention all alternatives that can be included in the area it is defined by, It is intended to cover the changes and equivalences. Details shown, for purposes of illustration only of preferred embodiments of the present invention. shown and both the formulation of the methods and the rules and regulations of the invention. in order to provide the most useful and easy-to-understand definition of its conceptual features. presented must be understood. In these drawings; Figure 1 Seedling machine Figure 2 Seedling isometric view Figure 3 Seedling machine side view Figure 4 Machine cabin Figure 5 Seedling stand Figure 6 Irrigation, plant nutrition, disinfection unit, Figure 7 Ventilation unit Figure 8 Lighting unit Figure 9 warming unit Figure 10 Software/hardware diagram of my site Figures to assist in understanding this invention are as indicated in the attached picture. are numbered and given below with their names.

Referance list 1. Machine Cabinet 1.1 .Stainless profile carrier system 1.2.Composite facade cladding 1.3.Plexiglass coated door 1.4. Wheel with brake system 2. Seedling stand 2.1 .Seedling stand module 2.2. Seedling stand motor 2.3. Seedling Stand Spindle 2.4. engine support column 2.5. Growing tapes/substrates 2.6. night vision camera 2.7. distance sensor 3. Touch screen 4. Disinfection, Irrigation and Plant feeding unit 4.1. Water / Plant nutrient reservoir 4.2. Pump 4.3. liquid transmission lines 4.4. Nozzles 4.5. Liquid collection tray 4.6. Returning liquid tank inlet filter 4.7. plant nutrient store 4.8. plant nutrient store controller 4.9. Tank outlet filter 4.10.Humidity sensor . lighting unit .one. Lighting module consisting of 680 nm red LED bulbs .2. Lighting module consisting of 460 nm Blue LED bulbs .3. Lighting module consisting of 6000 Kelvin white LED bulbs .4.0 optical sensor 6. warming unit 6.1. carbon film heater 6.2. Temperature sensor 7. Ventilation unit 7.1. extractor fan 7.2. ventilator fan 7.3. carbon dioxide tube 7.4. Ventilation Panel ( Grille)10 7.5. C02 sensor 8. Main Control unit 9. Auxiliary control unit . Machine Decision support system 11. BackOffice 12. Mobile App 13. Motor driver circuit (DC motor) 14. Wifi module . Power source 16. Module (expansion module) Explanation of Details in Drawings In Figure 1, the seedling growing machine, In figure 2, the seedling grower isometric and Figure 3 side view of the seedling grower with the parts of the system is seen.

In Figure 4, Machine Cabin (1) is seen. Machine Cabinet ( 1 ) Stainless profile load-bearing system (1.1) Composite facade cladding forming floors and side walls (1.2) , door with transparent Plexiglas covering forming the front of the door ( 1.3 ) and 4 wheels with brake system (1.4).

Figure 5 shows the section of the seedling stand. located in the middle of the machine cabinet Each of the modules (2.1) forming the seedling stand (2) is made of polyethylene material. They are modules and 5 of them are connected by putting them on top of each other. Seedling stand (2), Using the seedling stand shaft ( 2.3 ), the machine cabinet ( 1 ) interior ceiling covering and Seedling stand motor ( 2.2 ) and motor support column ( 2.4 ) fixed in between.

The seedling stand shaft (2.3) passing through the middle of the seedling stand (2), the seedling stand It is driven by the motor ( 2.2 ) of the seedling stand 360 degrees around itself. Growing tapes / substrates (2.5 ), stacked seedling stand It is placed on the specially created floors of the modules ( 2.1). plant breeding bands (2.5) 2 cm wide, 3 cm thick absorbent, antibacterial and specially developed by us with slow desorb feature are substrates.

Figure 6 shows the disinfection, irrigation and plant nutrition unit (4).

Disinfection, Irrigation and plant nutrition unit (4) , Water / Plant nutrients Tank ( 4.1), Pump ( 4.2), Liquid transmission lines ( 4.3), Nozzles ( 4.4), Liquid collecting tray ( 4.5 ) , Returning liquid tank inlet filter ( 4.6 ) , Plant food nutrient store ( 4.7 ), plant nutrient store controller ( 4.8 ) , depot It consists of output filter (4.9) and Humidity sensor (4.10).

Disinfection, Irrigation and plant feeding processes are carried out completely with the established system (4). will be done automatically. In disinfection, irrigation and plant nutrition system (4) , Plant nutrition solution in the Water / Plant nutrient tank (4.1), or disinfectant or irrigation water, whichever is necessary according to the development period. will be prepared. From the Tank Outlet Filter (4.9) by the Pump (4.2) After passing through the system (4), the liquid will pass through the transmission lines (4.3). then it will be pulverized to seed or seedling by nozzles (4.4).

The duration of the pulverization process with the software and hardware integration we will do, interval, start time, etc. will be commanded by connecting to automation.

The remaining liquid after the application is in the liquid collection tray under the drum (4.5) will be accumulated. The returning liquid is passed through the tank inlet filter (4.6 ) for Water / Plant It will be taken to the nutrient store ( 4.1) and re-used. waste of resources will be avoided.

Figure 7 shows the ventilation unit. The ventilation unit ( 7 ) of the plant the optimal level of 002 required for the development period it is in. It is detected by the 002 sensor ( 7.5) and sent to the Main control unit ( 8 ). 002 is sent to the environment by the machine decision support system (10) software. 002 is released from the tube (7.3 ). Equal in 002 in machine cabin distribution is provided by the ventilator fan (7.2). Ventilation Panel The aspirator fan we have mounted to the machine cabinet ( 1 ) through the ( culvert) ( 7.4) Excess moisture and oxygen in the environment are thrown out of the cabin through (7.1).

Illumination unit ( 5 ) is seen in Figure 8 . Illumination unit ( 5 ), 680 nm Lighting module ( 5.1 ) consisting of red LED bulbs, 460 nm Blue LED lighting module consisting of bulbs (5.2 ), 6000 Kelvin white LED Lighting module ( 5.3 ) and Optical sensor ( 5.4 ) consisting of light bulbs is formed. LED bulbs that form the body of the machine cabinet ( 1 )10 on the stainless profile carrier system ( 1.1) parallel to the long side of the profiles It is mounted on the cooled profile as ordered. Optical light intensity by measuring with the sensor ( 5.4 ) according to the period the plant is in. The light at the wavelength that it hears, in the desired time, in the Main control unit (8). provided by the software in the decision support system.

Figure 9 shows the heating unit (6). For germination of plant seed One of its major needs is ambient temperature. The plant breeder of the invention In our machine (figure 1), the interior of the rear facade of the machine cabinet ( 1 ) A 30 cm x 100 cm carbon film heater ( 6.1 ) is placed on its surface. Heating unit (6) controlled by the main control center (8), mounted in the machine cabinet (1) The temperature in the plant environment is controlled with the temperature sensor (6.2), Main control The development of the plant with the software made to the heating unit controller in the unit (3) It is ensured that the temperatures programmed according to the current phase are formed uninterruptedly.

Figure 10 shows the software/hardware diagram of the system. This diagram; main control unit (8), auxiliary control unit (9), Machine Decision support system (10), BackOffice (11), mobile application (12), motor driver circuit (13), wifi module (14), power supply (15), expansion module (16).

DETAILED DESCRIPTION OF THE INVENTION Seed in the seedling incubator, which is an integrated system machine. disinfection, germination of seed and young seedling and seedling contamination process 4 different processes, which require 4 different environments, will be performed in the same environment. A machine is designed in this way.

Machine Cabinet ( 1 ) of the inventive machine ( figure 1 ) Stainless profile carrier system ( 1.1), Composite facade cladding (1.2) forming the floors and side walls and the transparent Plexiglas coated door ( 1.3 ) that forms the front of the front door, and 4 It consists of 1 brake system wheel ( 1.4 ). 1 plexigalass coated door (1.3) in 720x870 mm dimensions on the front It allows the inside of the cabinet to be watched without opening the door.

The modules that make up the seedling stand (2) located in the middle of the machine cabinet ( They are modules manufactured in 6 layers, 5 of which are placed on top of each other. is connected. Using the seedling stand ( 2 ), the seedling stand shaft ( 2.3 ) 10 cabinet( 1 ) with inner ceiling covering and seedling stand motor ( 2.2 ) It is fixed between the engine support column (2.4 ).

The seedling stand shaft (2.3) passing through the middle of the seedling stand (2), the seedling stand It is driven by the motor ( 2.2 ) of the seedling stand 360 degrees around itself. Plant growing bands (2.5 ), seedling stand modules ( 2.1) placed on top of each other It is placed by laying on specially created floors. Growing tapes/substrates (2.5) 2 cm wide, 3 cm thick absorbent, anti-bacterial and slow They are substrates specially developed by us with desorb feature. 2.3 One in cm seedling will be grown, the seed of the plant will be planted, nano fiber It will be wrapped and packaged with material and presented to the farmer's use. Growing This Plant tapes/substrates (2.5 ) seedling stand at the beginning of each round of production will be placed in their place in the modules ( 1.2) by the farmer.

Our invention, the machine that grows seedlings, temperature, lighting, plant nutrition, to precisely control air flow, humidity, disinfection equipped with sensors. In the decision support system we have developed, light, humidity, monitoring of plant growth with aeration, C02, temperature controls are made using high-tech products and all these devices are instantaneous. measurements in the main control unit ( 8 ) to the machine decision support system (10) is sending. Machine Decision support system (10) the plant's need for photosynthesis in case of decrease in humidity, lighting, temperature, ventilation ... decision support system software through the relevant controller It enables it to start working and to correct the deficiencies.

In our machine, plant seedling cultivation with soilless agriculture, plant nutrition and We do the irrigation agroponically. osmotic pressure in the soil stressing the plant while benefiting from the plant's water and plant nutrients - To eliminate the retarding effect, plant roots are very porous and We accelerate plant development by leaving it in a high permeability environment. Irrigation, Agroponic plant nutrition and disinfection processes are performed completely with the established system (4). is done automatically.

Irrigation, Agroponic plant nutrition and disinfection system (4), Water I Plant plant nutrition solution or disinfectant in the nutrient store (4.1) or According to the irrigation water development period, whichever is necessary is prepared. Pump After it is passed through the Tank Outlet Filter ( 4.9 ) by (4.2) to the system ( 4 ) 10 pressed by the nozzles (4.4) after passing through the liquid transmission lines (4.3). It is pulverized to seed or seedling. Inside the machine cabinet (1), humidity sensor In the instantaneous measurement made by (4.10), the humidity is below the optimal value determined. Irrigation via the machine Decision support system (10) software by means of the controller, the start of the irrigation unit and ensures its elimination. Our software and hardware integration and Liquid time, interval, start of the spraying process via the application controller The clock ...etc is commanded by management automation. After application the remaining liquid is collected in the liquid collection tray under the drum. (4.5) Back Water I Plant nutrients by passing through the rotating liquid tank inlet filter (4.6 ). It prevents waste of resources by taking it to the warehouse (4.1) and allowing it to be reused. does not pass Plants have a good development (chlorophyll formation, photosynthesis, inorganic substances) transformation into organic substances, shoot, leaf, flower and fruit formation) they need heat. needed in plant development in outdoor conditions. the source of light is the sun. The light coming from the sun to the earth is of different wavelengths. consists of heat. The light in the spectrum is about 390 nm to 760 Wavelengths between nm are called visible light. plants It uses visible light in the Spectrum while performing photosynthesis. The energy of visible wavelength photons from electromagnetic rays emitted It is used by plants in photosynthesis. Light is for plants only It is not an energy source in photosynthesis, but also different development processes. It is a controlling and directing factor.

In our machine, we use artificial lights to provide the light that the plant needs for photosynthesis. We will provide LED (Light Emitting Diode-Lik) Emitting Diodes) technology, it is cheaper and the photosynthetic activity of the plant is increased. We have determined that we can provide intense lighting. Subject of the invention Fide In addition to controlled atmosphere conditions in the Incubator, it can also be used at night with LEDs. By increasing the photosynthesis time to 22 hours with intense lighting, it improves plant development. We aimed to speed it up. It has a high heat dissipation effect and a low illumination power. not fluorescent bulbs, no risk of burning the plant by emitting heat and light We used light emitting diodes / LED bulbs with very high lighting power.

LED bulbs .5 mm, which lasts ten times longer than fluorescent lamps diameter conventional and in a size 7 to 8 mm long and weighing 0.3 9 small and light ultra-high brightness.

Lighting unit ( 5 ), lighting consisting of 680 nm red LED bulbs and Optical sensor ( of On the stainless profile carrier system ( 1.1) forming the body of the profiles, the long We mount it on the cooled profile parallel to its edge, in sequence. By measuring the light intensity with the Optical sensor ( 5.4 ), it is determined by the period the plant is in. The light at the wavelength it needs according to the main control unit ( It is provided by the software in the decision support system in 8).

One of the greatest needs of plant seed for germination is ambient temperature. By covering the quarries where they planted seeds by the farmers with nylon covers, It is tried to protect the heat by creating tunnels. In greenhouses, different heating Although the ambient temperature is tried to be increased with these systems, in such large environments, It is not possible to achieve success and it has to bear great costs.

In our Seedling Growing Machine (figure 1), the subject of the invention, the heating is carried out in the machine cabinet ( 1 ) on the inner surface of the rear cladding in dimensions of 30 cm x 100 cm. We provide it with the Carbon film heater ( 6.1 ) we have placed. Heating unit (6) Main It is controlled by the control center (8), the heat installed in the machine cabinet (1) In the instant measurements made with the sensor (6.2), the temperature in the plant environment was determined. If it is determined that the value falls below the optimal value, the machine Decision support system ( 10 ) to start the heating unit via the heating controller in the software. and makes up for the deficiency. In this way, the development of the plant It is possible to provide the temperatures it needs differently according to the seedling cycle. while shortening the development period, 2-3 days before transferring the seedlings to their places in the fields our low temperature application to get used to the outdoor conditions first. improves its quality.

In order to prevent plant development and disease factors, a good environment ventilation is mandatory. Therefore, the subject of the invention is in our Seedling Growing Machine. (Figure 1 ) and the last system we installed is the Ventilation unit ( 7 ). Ventilation unit ( 7 ) is 002 in, which is necessary for the development period of the plant. It is detected by the 002 sensor ( 7.5) that the optimal level is low and the Main Machine decision support system (10) software10, when reported to the control unit ( 8 ) It is distributed evenly within the ventilator by means of the fan (7.2). Ventilation The aspirator we mounted to the machine cabinet ( 1 ) through the panel ( Grille) ( 7.4) Excess moisture and oxygen in the environment are thrown out of the cabin by means of the fan (7.1).

This invention provides disinfection and germination of seeds in an atmosphere controlled environment. By performing the entire development process including the machine, it takes the normal seedling growing time. Without the use of chemical control pesticides, with organic properties, against outdoor conditions. It relates to the production of a machine that will produce healthy seedlings.

Seedling growing process Plant growing bands/substrates (2.5) , Seedling stand It starts with the placement of the modules (2.1) parallel to the floor on the floors. sown After the seed is disinfected in place, the main control unit (8), auxiliary control unit (9), disinfection, irrigation, plant feeding and disinfection unit (4), lighting unit (5), heating unit (6) and ventilation unit (7), Machine Decision support system (10) and artificial With the simulation of intelligence, the seed is left to germinate.

Hardware and software features of the system: Machine Decision support system (10) uses management automation to simulate artificial intelligence. whole plant seedling growing machine and seedling growing system It is the section that contains the elements. In this section; .main control unit (8), auxiliary control unit (9), Machine Decision support system (10), BackOffice (11), mobile application (12), motor driver circuit (13), wifi module (14), power supply (15), expansion module (16).

The wifi module (14) is used for remote monitoring of the machine by connecting to the network and provides information flow and updates for the mobile application (12). Night vision camera (2.6 ) allows the growth of seedlings to be monitored by the farmer/user. It also provides the images taken by the user mobile can be viewed with the application (12) and can also be viewed on the touch screen.

Auxiliary control unit (9) works together with main control unit (8) to ensure that this unit is overloaded. prevents it from loading. The motor driver circuit (13) It is the unit where the motors are driven and controlled, the main control unit (8) controlled by. Touch screen (3) products are selected and the system enables it to be started. The power supply (15) is used throughout the system10. It provides the necessary voltage level production for the operation of the elements.

The expansion module (16) increases the stability of the machine, increasing the system with the necessary additional VC and used for similar required cards. The temperature sensor (6.2) measures the ambient temperature, humidity. sensor (4.10) instantly measures the humidity in the environment and values the main control It provides transmission to the unit (8). Optical sensor (5.4 )0 detects the light intensity in the environment. The distance sensor (2.7) is used to measure the height of the seedlings. is used. Card and sensors are between -5 and +35 degrees they can work. The reason for this is that the indoor environment is between 10-25 degrees. change and the external environment changes between -5 and +35 degrees.

The management automation of the machine consists of 4 parts. 1) Embedded system software 2) Backend (Gateway) software to run on the server 3) Backoffice software 4) End-user mobile applications to be offered to the customer Decision support system, automation of the seedling growing process and vegetable plant with an intelligent decision support system It forms the infrastructure of the cultivation machine.

In the machine for which the decision support system is created, the plant developments are observed and the process is being optimized. The automation controller observes each batch and The available data will give the necessary recommendations for the faster growth of the party. with the supervised learning model of the machine with the model created by the set and the algorithm. provided to manage the process. Irrigation, fertilization, ventilation, heating, group input values for 002 boost tasks and their target According to the values, it is necessary for the machine to learn the relationship between them and to reach the target values the most. close outputs are produced.

The knowledge and skills that computer algorithms impose on performing tasks. By modeling the logical inference mechanism, storing information and Then, with the inferences he will make from this information, he will process the seedling growth process. enables it to be optimized.

In the seedling growing machine; sensor-based variable ratio of agricultural inputs precision farming platform, compatible machine cabin, carrier system, detection and monitoring of variables affecting product quality, yield and yield. imaging systems, Agri-Tech (Agricultural Technologies), sensor-assisted smart decision using up-to-date advanced technologies in delivery applications and software10 developed. With the circuit control infrastructure and automation, the machine and the seedling continuous monitoring and recording of the development of the data, with the communication interface It is provided to be recorded for detailed analysis in the cloud.

Making point measurements with intelligent decision support system, image processing algorithms, radio frequency location detection system, artificial intelligence integrated system installation, computer-independent control of the system, data collection with computer (Data Collection)-data processing and decision making (Data Processing and Decision) Detection of making-application components, installation of engines and creation of an integrated system, remote Monitoring module developments (Mobile Application) image processing algorithms, radio frequency location detection system, Artificial intelligence integrated system installation procedures are in progress.

The machine was taken into the cabin and created its own ecosystem.

In the seedling incubator, which is an integrated system machine, the seed is disinfection, germination, young seedling and seedling maturation process. 4 different processes that require 4 different environments are carried out in the same environment.

Humidity, light, temperature and C0 in the seedling growing machine; real-time measurement of and its controls are made using sensors and applications from the central control unit with the software in which different requests are defined. is managed. Placing the grower's seed tape and removing the seedlings from the machine There will be no other intervention other than to receive.

In the machine with an intelligent decision support system, in the plant growing band (2) It has artificial intelligence with visual detection that recognizes which plant the seed belongs to. The machine starts the program of that plant, and when one of the 4 different development periods ends. decides to start the other.

Claims (10)

THE MACHINE GROWING PLANT SEEDLES BY SIMULATED REQUESTS WITH ARTIFICIAL INTELLIGENCE 1. This invention is a Machine Growing Plant Seedlings simulated with Artificial Intelligence, and its feature that creates suitable climatic conditions for the plant to mature; - At least one machine cabinet (1) that is not affected by outdoor conditions, - At least one polyethylene seedling stand (2) connected to the carrier system in the machine cabinet (1) - At least one 7" touch screen (3), - At least one Disinfection, Irrigation and plant feeding unit (4) that performs disinfection, irrigation and plant nutrition, - At least one lighting unit that provides, controls and adjusts the light at the wavelength it needs according to the type of plant and its development phase - Machine At least one heating unit (6) that provides and controls the optimum temperature for the plant in it, - At least one ventilation unit (6) that provides appropriate ventilation and 002 Reinforcement to prevent plant diseases in the machine, It is characterized by the main control unit ( 8 ) and its components, which precisely manage lighting, plant nutrition, air flow, humidity, disinfection. mesi. 2. This invention relates to a Plant Seedling Growing Machine, Machine Cabinet (1) simulated with an Artificial Intelligence, and its feature is; - Stainless profile carrier system (1.1) and composite facade cladding (1.2) - At least 1 plexiglass coated door (1.3) with dimensions of 720x870 mm on the front of the machine cabin (1) - At least 4 wheels with brake system under the machine cabin (1) (1.4) is to have. 3. This invention relates to the Machine Seedling Grower (2) by simulating an Artificial Intelligence, and its feature is; - At least one seedling stand (2) consisting of the combination of at least 5 seedling stand modules (2.1) located in the middle of the machine cabinet (1), 10 at least 5 seedling stand modules (2.1), - Seedling stand's own axis at least one seedling stand motor (2.2) that enables 360 degrees rotation around it, - At least one seedling stand motor (2.3), located in the middle of the machine cabinet (1), enabling the assembly of the seedling stand (2) to the machine cabinet (1), - At least one motor support column on which the seedling stand motor ( 2.2 ) is fixed ( - At least 30 plant growing bands / substrates (2.5 ) placed on the floors of the seedling stand modules (2.1), - Plant growing bands ( 2 ) used in the seedling stand Placement of the substrates (2.5) by laying on the layers of the seedling stand modules (2.1) placed on top of each other, - The plant growing strips/substrates (2.5) used in the seedling stand (2) are 2 cm wide, 3 cm thick, absorbent, antibacterial and slow desorbing.having specially developed substrates, - Specially forming the plant growing bands/substrates (2.5) used on the seedling stand (2) by placing the plant seed to be grown, one in every 2.5 cm, - Plant growing bands/substrates (2.5) ) to be placed in the seedling stand modules ( 2.1) by the farmer at the beginning of each production process, - At least one night vision camera (2.6), which enables the determination of the seed type by monitoring the development of the machine and the plant and managed from the main control unit (8), - Controlling the growth of the plant It has at least one distance sensor (2.7) that allows it to be tracked and tracked. 4. This invention relates to a Plant Seedling Growing Machine Touch Screen (3), simulated by an Artificial Intelligence, and characterized by; - It has a touch screen (3) where the type of plant entered into the system is selected by the user, the start-stop commands are given for emergencies, and the instantaneous production input measurement values made by the sensors are monitored. 5. This invention relates to the Machine Irrigation, Agroponic plant nutrition and disinfection unit (4) that grows Plant Seedlings simulated with an Artificial Intelligence, and its feature is; - In the main control unit (8), it works by being programmed with the irrigation system software and ensures that the environment is irrigated and moistened in periods specific to the plant type, - In the irrigation, agroponic plant feeding and disinfection system (4), which is the plant feeding solution or disinfectant or irrigation water according to the development period? if necessary, at least one water / plant nutrient tank (4.1) in which it is prepared, - Water - at least one that pressurizes the liquid in the plant nutrient tank (4.1), - Plant nutrient, disinfection material or water delivered by the pump (4.2) - at least one row of nozzles (4.4) that allows the transmission material passing through the liquid transmission lines (4.3) to be pulverized to the seed or seedling (4.4), - the excess of the transmitted material accumulates and thus ensures its return to the system at least one liquid collection tray (4.5), - Allow the liquid accumulated in the liquid collection tray (4.5) to drain before entering the water tank At least one return liquid tank inlet filter (4.6), - Water [at least one Plant nutrient tank (4.7) mounted on the plant nutrient tank (4.1), - From the plant nutrient tank (4.7) to the water tank) (4.1) at least one Plant nutrient store controller (4.8) that adjusts the amount of nutrient and disinfectant to be added, - Water! At least one, where the liquid coming out of the plant nutrient tank (4.1) is filtered before it is pumped into the liquid transmission lines (4.3). tank outlet filter(4.9) - It consists of humidity sensor (4.10) that informs Decision support system (10) by making instant humidity measurements in the machine cabinet (1). 6. This invention relates to the Lighting Unit (5) of Plant Seedling Growing Machine by simulated with an Artificial Intelligence, and its feature is; - Lighting module consisting of at least one 6000 Kelvin white LED bulbs in the main control unit (8), working by being programmed with the lighting system software and ensuring that the environment is illuminated with lights and durations specific to the plant type, - At least one - At least one - At least one 6000 Kelvin white LED bulbs (51), - It consists of at least one Optical sensor ( 5.4 ) that measures the light intensity. 7. This invention relates to the Plant Seedling Growing Machine heating unit (6) simulated with an Artificial Intelligence, and its characteristic is; - Operating by programming the heating system software in the main control unit (8), and ensuring that the environment is heated at temperatures specific to the plant type, - At least one Electric Carbon film heater (6.1) that provides heating It has at least one heat sensor (6.2) that measures and reports to the Main Control unit (8). 8. This invention relates to a plant seedling growing machine aeration unit (7) with an intelligent decision support system, its feature is; -Programmed with the ventilation software in the main control unit (8), working by programming and ensuring that the environment is ventilated in specific periods for the plant type and enriched with CO2, - At least 1 aspirator for discharging excess humidity and oxygen out of the cabin, At least 1 ventilator fan (7.2), - At least 1 carbon dioxide tube to enrich the environment with COZ (7.3) - At least 1 Ventilation Panel (Culvert) ( 7.4 ) that enables the mounting of the aspirator fan (7.1) to the machine cabinet (1.1) - It has at least one 002 sensor (7.5) located on the machine frame (1) and instantly measures the COZI in the environment and reports it to the Main Control unit (8). 9. This invention is simulated by Artificial Intelligence, Plant Seedling Machine Software - A main control unit (8), which manages the plant-specific climate control and all functions of the machine decision support system (10), - Located within the main control unit (8), and An auxiliary control unit (9) that helps system management, - Machine decision support system that runs the relevant unit to analyze instantaneous notifications from the sensors and make it suitable when it is different from the defined optimal values (10) - The entire history of the machine can be viewed retrospectively, problem if needed A BackOffice software (11) that can detect the source and make interventions, - A mobile application (12) integrated with the machine decision support system (10), where all system parameters can be viewed and intervened, - At least one engine in which the motors in the machine are driven and controlled driver circuit (13), - Connect to network and remote At least one wifi module (14) used for bi and providing information flow and updates for the mobile application (12), - A power supply (15) that provides the supply needed for the machine decision support system (10) to work smoothly with all its elements, - It has an expansion module (16) which is used for additional INPUT/OUTPUT and similar required cards to the system by increasing the stability of the machine. 10. This invention relates to a Plant Seedling Growing Machine artificial intelligence integrated system simulated with an Artificial Intelligence, and its feature is; - Machine with mechanical equipment that enables all applications for seedling growing under controlled conditions to be fully automated in a single unit with a holistic approach (Figure 1), - Main Control unit ( 8 ), Auxiliary control unit ( 9 ) Machine Decision support system( 10 ),BackOffice (11 ),Mobile Application(12),Motor driver circuit (DC motor) embedded software, software i' hardware diagram (Figure 10) - Seedling Growing Machine Main control unit ( 8 ) software Mobile Application (12 ) and Decision support system automation ( 10 ), - With Random Decision Forests and Logistic Model Tree models from the sensors, - Simulating the production process by interpreting the data it receives with Convolutional Neural Network and Self Organizing Map methods, - Embedded system digital / analog of the programming language used Management with integrated circuit board with outputs, -Developing special software for each different integrated controller, -Software, information and material Optimizing the seedling growth process by modeling the inference mechanism, storing the information and then making inferences from this information, - Obtaining information from the data with some artificial intelligence models in the cloud environment with the image (picture) to be taken from the plant and the data to be taken from the sensors, and the plant growth process to be obtained with instant changes. characterized by simulating the most optimal conditions.