AU2021104408A4 - Method for automating Smart Green House using IoT - Google Patents
Method for automating Smart Green House using IoT Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 27
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 8
- 239000002689 soil Substances 0.000 claims abstract description 5
- 238000011161 development Methods 0.000 claims abstract description 4
- 239000000779 smoke Substances 0.000 claims abstract description 4
- 230000009471 action Effects 0.000 claims abstract description 3
- 238000013461 design Methods 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 claims description 2
- 235000015097 nutrients Nutrition 0.000 claims 1
- 238000009313 farming Methods 0.000 abstract description 15
- 230000000694 effects Effects 0.000 abstract description 6
- 238000004519 manufacturing process Methods 0.000 abstract description 6
- 238000001816 cooling Methods 0.000 abstract description 4
- 238000012544 monitoring process Methods 0.000 abstract description 4
- 238000009423 ventilation Methods 0.000 abstract description 4
- 230000018109 developmental process Effects 0.000 abstract description 3
- 238000005457 optimization Methods 0.000 abstract description 3
- 230000008121 plant development Effects 0.000 abstract description 2
- 238000012271 agricultural production Methods 0.000 abstract 1
- 238000004891 communication Methods 0.000 abstract 1
- 230000035764 nutrition Effects 0.000 abstract 1
- 235000016709 nutrition Nutrition 0.000 abstract 1
- 230000008635 plant growth Effects 0.000 abstract 1
- 235000013311 vegetables Nutrition 0.000 description 5
- 230000001276 controlling effect Effects 0.000 description 4
- 238000013459 approach Methods 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 238000010276 construction Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000003306 harvesting Methods 0.000 description 1
- 238000005286 illumination Methods 0.000 description 1
- 230000009474 immediate action Effects 0.000 description 1
- 230000035484 reaction time Effects 0.000 description 1
- 230000001105 regulatory effect Effects 0.000 description 1
- 230000000391 smoking effect Effects 0.000 description 1
- 239000002881 soil fertilizer Substances 0.000 description 1
- 230000003442 weekly effect Effects 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
- H04Q9/02—Automatically-operated arrangements
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y10/00—Economic sectors
- G16Y10/05—Agriculture
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y20/00—Information sensed or collected by the things
- G16Y20/10—Information sensed or collected by the things relating to the environment, e.g. temperature; relating to location
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q2209/00—Arrangements in telecontrol or telemetry systems
- H04Q2209/40—Arrangements in telecontrol or telemetry systems using a wireless architecture
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- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Greenhouses (AREA)
Abstract
Method for automating Smart Green House using IoT
The optimization of land area and people in the agricultural sector is a difficult
undertaking that all farmers must do. It is due to a lack of information and communication in the
agricultural industry that the costs and time required to establish a farming operation with all of
the essential natural resources are not correctly calculated. The majority of farmers continue to
use traditional agricultural methods to cultivate their crops, with only a small number of them
adopting cutting-edge techniques in recent years. The Internet of Things (IoT) is the framework
that is utilised to give automated control over agricultural land and monitoring through the use of
sensors on plants. Perhaps sensors are used to collect data from the entire plant, which is then
transferred to a centralised controller for analysis, allowing farmers to make more informed
decisions. In the event of short-term plant culture, the effects on plant growth are not noticeable
for a considerable period of time. In order to address this issue, the Smart Green House concept
has been established in the agricultural area in order to promote plant development within a
specified time period. By utilising an Internet of Things-enabled framework that is controlled by
a Smart Green House Intelligence Decision Support System (SGHIDSS), it is feasible to improve
the overall quality of the system.
The system is comprised of a number of sensors that are strategically placed throughout a
greenhouse and that automatically make decisions about actions such as water supply and
nutrition level. In an automated environment, all of the sensors and control systems are in full
operation, allowing the greenhouse technique to be successful for small farms. For small-scale
farmers and people, this invention gives a framework or model that they can utilise to quickly
and easily deploy the smart greenhouse in their own areas. Additionally, it supplies less
workforce and a smaller number of natural resources for the development of agricultural
production and production.
1
Ventilation
-1 Unit
Temperature LightIntensity Uni.
& Humidity j sensor GSM Alarm
sensor
Smoke/Gas Cooling Fan
Soil~tumsensor |Buzzer
Sensor
ExhaustFan
Ultra sonic Arduino Micro o ContingSoftware
Sensor Controller
Water Pump
pH sensor LCSdisplay Motor
LDR sensor system
PIR sensor Light bulbs
Cloud Mobile App
Storage
Figure 1: Automated Smart Green House Architecture
Description
Ventilation -1 Unit Temperature LightIntensity Uni. & Humidity j sensor GSM Alarm sensor Smoke/Gas Cooling Fan Soil~tumsensor |Buzzer Sensor ExhaustFan
Ultra sonic Arduino Micro o ContingSoftware Sensor Controller Water Pump
pH sensor LCSdisplay Motor LDR sensor system
PIR sensor Light bulbs
Cloud Mobile App Storage
Figure 1: Automated Smart Green House Architecture
TITLE OF THE INVENTION Method for automating Smart Green House using IoT
[001]. The present disclosure is generally related to a Method for automating Smart Green House using IoT for reducing the manpower and resources for agricultural development.
[002]. The farming process is becoming obsolete in terms of practises, and all farmers are attempting to improve their cost-effectiveness by optimising their work. The Internet of Things (IoT) is the framework for cost-effective smart farming and producing crops and plants in a short amount of time. To overcome this issue, the Smart Green House concept was introduced into the agricultural field in order to encourage rapid plant development.
[003]. The primary goal of this invention is to provide a framework that allows small scale farmers and individuals to easily build smart greenhouses in their own communities, requiring less manpower and resources for agricultural development.
[004]. The agriculture field is exploding with small-scale farmers employing farming techniques that are cutting-edge. The farming process is becoming outdated in its techniques, and all farmers increasingly strive to increase their cost-effectiveness by optimising their job. IoT is the framework for performing cost-effective smart farming and producing crops and plants in a short amount of time. Furthermore, personnel must be minimised for the agricultural process, but farming management and monitoring must be maintained utilising IoT sensors.
[005]. ASGHIDSS (Automatic Smart Green House Control and Intelligent Decision Support System) is a new creative technology in agriculture for producing high-yield crops in a short amount of time. The IoT framework can handle all of the control and monitoring of the greenhouse's activities. In a globalised view of this system, manual input is minimal, and sensors are used as much as possible for farming tasks. When compared to earlier conventional approaches, the yield of how much they earn is higher. Depending on the quantity of crops chosen for cultivation, the smart greenhouse occupies a modest or large space. Smart Green House automation necessitates a number of optimization activities during setup. Furthermore, an open area is necessary for the construction of this infrastructure.
[006]. Automatic Smart Green House and controlling with Intelligent Decision Support System is being developed in order to boost crop yields and cultivate a greater number of vegetables in a short period of time on the farming field. For the purposes of analytics, all of the sensor units and outer units will be controlled through the use of a centralised software unit, and all of the data will be kept on a cloud server. In addition, it will benefit small-scale farmers and those who are interested in agriculture by boosting their economic prospects in the field.
[0071. This technique will allow for the production of more crops and vegetables in a tiny space that is either remote or close to the home. In this system, cost-effective management has been accomplished through the use of less staff and the Internet of Things framework approach.
[008]. Small-scale farmers are using farming practises that are cutting-edge in the agriculture area, which is causing a tremendous increase in the field. The agricultural process is becoming outdated in terms of its techniques, and therefore, optimising the work is the ultimate goal of all farmers in order to increase the cost-effectiveness of their operations.
[009]. The Internet of Things (IoT) is the framework that allows for cost-effective smart farming and the production of crops and plants in a short amount of time. Furthermore, manpower for the farming process must be minimised, but the control and monitoring of the agricultural process must be maintained through the use of sensors in the Internet of Things.
[0010]. The Automatic Smart Green House Control and Intelligent Decision Support System (ASGHIDSS) is a novel and unique method in the agricultural area that allows farmers to grow crops in a short amount of time while maintaining high production. The Internet of Things architecture may be used to regulate and monitor all of the activities taking place in the greenhouse. The manual input to this system is minimal when seen in a globalised context, and sensors are used to the greatest extent possible for farming procedures. When compared to the earlier classical procedures the size of the smart greenhouse, which can be either small or huge, is determined by the number of crops that have been chosen for production.
[0011]. When it comes to the startup of smart green houses, a large number of optimization activities are required. Furthermore, an open area is necessary for the construction of this infrastructure. Sensor units such as temperature, humidity, soil moisture, ultrasonic, pH level, C02 , LDR, PIR, and smoke/gas sensors are utilised in the proposed Automatic Smart Green House Control and Intelligent Decision Support System (ASGHIDSS) design.
[0012]. Additionally, GSM, alarm, and buzzer units are integrated with the microcontroller unit to enable the unit to send notifications to the centralised unit via the Internet. Software has been designed to keep control over all sensor data and to send commands to the outlier units, which will be controlled by the controlling software.
[0013]. The greenhouse's outside unit incorporates ventilation, a cooling fan, an exhaust fan, a water pump, a motor, and light bulbs that are each designed for a specific function. Following is a summary of the smart green house architecture units, depicted in Figure 1.
[0014]. Procedures to Follow When Working: The basic configuration has evolved, with various criteria taken into consideration for inlet and outlet units, as well as Internet of Things sensors, which have been integrated with the space designated for the smart greenhouse. Then, in the centralised controller unit, where the microcontroller was attached to this circuit, the controlling software was installed and configured.
[0015]. When the system is turned on, all of the sensors will be operational and will communicate their readings to the software, which will then compare them to the threshold values that have previously been programmed into the circuit. The cooling fan or exhaust fan unit is turned on if the result is positive in order to keep the temperature within the house stable and comfortable.
[0016]. If not, the pH sensor value is read and verified again, and if the water level in the soil is low, the moor unit is opened to allow water to flow through it. In addition to any undesired gas leakage, smoking, and CO2 gas concerns, the ventilation unit has unexpectedly opened for natural air circulation, which is a welcome relief. For illumination purposes, the LDR unit's value is checked on a regular basis, and if it is low, all of the lights are turned on immediately. This operation can be completed with the help of a timer, which is dependent on the number of units being used.
[0017]. In this architecture, the display system unit is responsible for providing real-time access to all sensor information to the centralised control system. This could be effective because the decision-making process is carried out by the programme in the same manner as it was previously. The alarm and buzzer unit are also initialised in this system in order to send noises to the outside unit in order to avoid disasters from occurring in the greenhouse architecture.
[0018]. If the greenhouse house is located in a remote area, people will be necessary for reaction times during this time period. In order to accomplish this, a GSM unit is fitted with the system in order to transmit a notification to the user in real time and on a
continual basis. The mobile application has been created in order to keep track of all of the activities that are regulated by software. The amount of data generated during the process is also enormous, owing to the large number of sensors that are employed.
[0019]. Cloud storage is necessary to store and transform the massive amounts of data created by the greenhouse to the next level, which will be used for analytical purposes. For these procedures to be carried out successfully, a secondary server is located remotely from the centralised server on the premises. It is necessary to determine which unit is operating for an extended period of time and what type of soil fertilisers are being used for farming for analytical purposes; similarly, the water level is maintained separately by a motor.
[0020]. All data has been displayed using current methods and made available to users in the form of a daily, weekly, or monthly report, which will assist them in making decisions about the next harvests and vegetable conversion. It was developed in industrialised countries with immediate actions taken by the sensors, but the controlled software and cloud storage were not installed for the purpose of analytics. The work flow of the greenhouse is depicted in detail in the following figure 2.
[0021]. The experimental setup was created with Internet of Things sensors and other units, initially in a small space, and later in a larger space to create a smart greenhouse infrastructure, which has been implemented. There are a number of units that are covered and connected to the control software in order to limit their actions and optimise their performance. The experimental circuit and design of the smart green house are depicted in the accompanying figures 3 and 4.
[0022]. The trial results have been clarified from cloud storage and categorised with modem analytics techniques, and the output has been displayed in the various sections. Initially, the temperature was calculated using three days of continuous data, and then the wind speed measured from the outside unit was used to examine the results of the calculation. Due to the changing environment, it may fluctuate from time to time, and it
indicates that the temperature of the greenhouse will have an instantaneous impact on the plants and crops growing within it.
[0023]. Automatic Smart Green House and controlling with Intelligent Decision Support System is being developed in order to boost crop yields and cultivate a greater number of vegetables in a short period of time on the farming field. For the purposes of analytics, all of the sensor units and outer units will be controlled through the use of a centralised software unit, and all of the data will be kept on a cloud server. In addition, it will benefit small-scale farmers and those who are interested in agriculture by boosting their economic prospects in the field.
[0024]. This technique will allow for the production of more crops and vegetables in a tiny space that is either remote or close to the home. In this system, cost-effective management has been accomplished through the use of less staff and the Internet of Things framework approach.
Claims (7)
- CLAIMS: We Claim: 1. We claim that the present disclosure is generally related to Method for automating Smart Green House using IoT for reducing the manpower and resources for agricultural development.
- 2. We claim that this invention develops a frame work for small-scale farmers and individuals to simply construct smart green houses.
- 3. As claimed in 2, this invention composed of sensor units such as temperature sensor, humidity sensor, soil moisture level sensor, ultrasonic sensor, pH level sensor, CO 2 sensor, LDR sensor, PIR sensor, and smoke/gas sensor.
- 4. We claim that in this invention the GSM module, alarm, and buzzer units are integrated with the microcontroller unit to enable the unit to send notifications.
- 5. This proposed system makes decisions about actions such as water supply and nutrient level based on several sensors strategically placed throughout a greenhouse.
- 6. As stated in 5, all of the sensors and control systems are automated, allowing small farmers to take use of greenhouse technology.
- 7. We claim that our invention will assist farmers in reducing the use of human and natural resources.Figure 1: Automated Smart Green House ArchitectureFigure 2: Work Flow of SMART Greenhouse ArchitectureFigure 3: Circuit DesignFigure 4: Green house setup
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2021104408A AU2021104408A4 (en) | 2021-07-21 | 2021-07-21 | Method for automating Smart Green House using IoT |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2021104408A AU2021104408A4 (en) | 2021-07-21 | 2021-07-21 | Method for automating Smart Green House using IoT |
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| Publication Number | Publication Date |
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| AU2021104408A4 true AU2021104408A4 (en) | 2022-05-19 |
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| AU2021104408A Ceased AU2021104408A4 (en) | 2021-07-21 | 2021-07-21 | Method for automating Smart Green House using IoT |
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- 2021-07-21 AU AU2021104408A patent/AU2021104408A4/en not_active Ceased
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| MK22 | Patent ceased section 143a(d), or expired - non payment of renewal fee or expiry |