WO2019240715A2

WO2019240715A2 - Managing the effective root zone of plants with artificial intelligence cells

Info

Publication number: WO2019240715A2
Application number: PCT/TR2019/050235
Authority: WO
Inventors: Ahmet Omer YULUG
Original assignee: Yulug Ahmet Omer
Priority date: 2018-04-16
Filing date: 2019-04-11
Publication date: 2019-12-19
Also published as: WO2019240715A3

Abstract

Invention, to ensure the development of plants effective root zone, keeping moisture distribution under control in defined soil profile, identify the location of the plant roots in the soil, determine the location of plants water absorbing roots, optimize fertilizer distribution given with irrigation system, effectively prevent deep percolation and water percolating under the root zone, before drainage and irrigation projects and during operation, determine ground water level change and define physical properties of soil, follow and monitor the root development and able to map the root development, statistically benefiting from big data and with artificial intelligence cycle related to the device, it can analyze plant-root-soil water relations and able to learn how to operate the irrigation system to achieve the desired target.

Description

Managing the Effective Root Zone of Plants with Artificial Intelligence Cells

Technical field related to the invention

This innovation, is related to smart irrigation system management device that simulates and determines the location of water absorbing roots of plant and the intake of soluble fertilizer in irrigation water in soil by the plant root from the soil during plant nutrition stage and observe the use of water by the roots with or without fertilizer and accordingly manage the irrigation system and the giving fertilizer with artificial intelligence if desired.

State of the Art

In order to determine the amount of water to be given in any irrigation method, the moisture content of the soil must be retained, and this requirement is measured using tensiometer and volumetric moisture detecting devices. These devices are 0-30, 30-60, 60-90, 90-l20cm. provides the detection of moisture content and requirement at different depths and this determined moisture deficit is given to the soil profile. But in different irrigation methods; cannot provide root development in the desired region in the plant and it is unknown if the giving fertilizer with irrigation system is received by the plant root.

Technical problems aimed solving with the invention

Each plant has an effective root depth and a 75% portion stores 80% of the water that the plant needs. Irrigation projects are mainly projected to irrigate this region. However, the root movement in this region under real site conditions is not observable in the soil profile. Each cultivated plant forms an effective root zone in different sizes depending on the irrigation method and the processing of water to the soil profile. In other words, theoretically accepted effective root depth, occurs at different volumes and depths in different fields under real site conditions. Theoretically accepted depth sometimes can be smaller or larger. However, their size is unknown. When it is calculated to theoretical accepted depth then unnecessary amount of irrigation water and fertilizer is given to the root area.

This invention will be able to observe and manage the formation of the effective root zone in the area which it is placed and moisture distribution to the maximum capacity in the soil as required by the laws of nature. On the other hand, it will be able to define the root development in the plants that completed its root development and it will keep this region under control.

The purpose is to prevent contamination in soil profile by unnecessary chemicals by simulating plant roots intake water periods with mathematical equivalents if the water and fertilizer is received or not by the effective root zone of the plant, root dispersion and increasing efficiency by eliminating the causes of labor, energy and fertilizer wastes without damaging the structure and efficiency of soil and saving from natural resources.

Water is indispensable for soil and soil creatures as well as for other living being. However, if the water is given to the soil more than the water holding capacity of the soil, it can damage the soil and life in soil and efficiency decreases. The most important is to make the best possible development of the root zone where the plant is watered and meets its fertilizer needs. Observing the distance of the roots from the water and which point root intakes water is a revolutionary qualification in scientific methods. This will optimize plant root, soil and water relationship to achieve the most efficient and environmental result.

Description of the figures:

Figure 1: Front (sectional) view of Effective Root Zone of Plants with Artificial Intelligence Cells Sensor.

Explanation of references in the figure

1. Solar Panel Retainer Frame

2. Solar Panel

3. Carrier Profile

4. Charging Cable

5. Protection Box

6. Communication Module

7. LCD Driver

8. Battery

9. Artificial Intelligent Cell

10. Charge Control Circuit

11. LED/LCD Display

12. Sensor Communication Cable

13. Sensor Communication Connector

14. Main Controller

15. Soil Level

16. Surface Drip Irrigation pipe

17. Sprinkler Fountain

18. Plant Effective Root Zone

19. Controller

20. Capacitive Difference Detection Sensor

21. Hole

22. Root Development Manager

23. Moisture Sensor

24. Subsurface Drip Irrigation Pipe

25. Expansion Connector

26. Root Management Zone

27. Remote Machine Disclosure of the Invention

Components on the invention with the most basic form;

Solar panel retainer frame (1) to keep solar panel (2) rigid.

Solar panel (2) for charging the battery (8) that supplies power to the electrical components of the appliance.

Solar panel (2), battery (8), LED/LCD screen (11), protection box (5) assembled on the carrier profile (3).

Conductive charging cable (4) that transmits the electrical energy produced in the solar panel (2) to the charge control circuit (10).

Communication module (6) to control and monitor the system via internet cloud. Sending data to channels of the LED / LCD display (11) at the required speed and LCD drive (7) in artificial intelligence cell (9).

Battery (8) that stores the energy needed to be used when there is no sun.

Artificial intelligence cell (9) that provides learning to device using the statistical information to the user via the software running on the LED / LCD display (11) or via the Internet notification to the remote machine (27) and making suggestions.

Charge control circuit (10) that provides the necessary adaptation to use the electrical energy produced by the solar panel (2) charging the battery (8).

Touch colorless or color LED / LCD display (11) which allows the user to control and monitor the system next to the device in local.

Sensor communication cable (12) where the electrical energy required for the root development manager (22) is transmitted from the battery (8) and the data is exchanged with artificial intelligence cell (9).

The electrical energy required for the root development manager (22) is transmitted from the battery (8) and the interface where the sensor communication cable (12) to data exchange with artificial intelligence cell (9) is connected to the interface is connected to sensor communication connector (13).

Capacitive difference detection sensors (20) to detect the capacitive differences and convert them to the format to be transferred to the artificial intelligence cell (9) and sensor communication cable (12) and main controller (14) that transfers to the sensor communication connector (13).

Root development manager (22) buried in the top of the soil profile in other words soil level (15 representing the ground. Irrigation system with drippers at different intervals on the plant used for water supply and surface drip irrigation pipes (16) laid on soil level (15).

The rotating sprinkler head sprinkler fountain (17) placed on soil level (15) and the water thrown into atmosphere by pressure in irrigation systems.

80% of water is stored on the plants root and root development manager (22) placed on plant effective root zone (18) under soil level (15).

Capacitive difference detection sensor (20) following the points and these points consist of capacitive differences in the main controller (14) that stimulates the electronic module controller (19).

It is composed of copper conductors on the front and back side with insulating material in the middle, capacitive difference sensors (20) surface coated with a conductive material over insulator transferring the capacitive differences that occur around these conductors to the controller (19) with copper paths.

Effective root zone (l8)of plants located in the root development manager(22) of the capacitive difference detection sensor(20) on front and back surfaces and a sufficient number of holes (21) left on the root development manager (22) to allow the passage of water, moisture, plant roots, fertilizers, living organisms left to prevent the homogenous structure of soil.

Root development manager (22) hosting capacitive difference detection sensors (20) continuously monitoring all capacitive changes in the main body of the module and available capacitive detection controller (19) where the capacitive sensing threshold level can be adjusted.

Measuring the amount of moisture in the soil and moisture sensor (23) transmitting the measured value to the main controller (14).

Root development manager (22) placed on plant effective zone (18), drops passed through the holes (21) of subsurface drip irrigation pipe (24) that provides the output of the water under pressure into the soil profile surface. Expansion connector (25) for modular insertion of the root developer manager (22) in cases if the plant-effective root zone (18) is wide.

Root development manager (22) in Root management zone (26) controls capacitive changes in the plant effective root zone (18).

The data from the root development manager (22) can be followed from a distance with Smartphone, tablet or computers remote machine (27) with available software. Monitoring the change in root structure during the development of plants, swelling resulting from agricultural activities over time in plant roots in the soil and monitoring shrinkage, monitoring animal movements such as earthworms in the root area and the capacity of receiving the water at different moisture levels, natural precipitation, moisture and development plant roots, capacitive differences in soil can be monitored using a capacitive difference detection sensor(20).

The threshold level of the capacitive difference detection sensors (20) can be set at different levels. This features the changes in soil within a certain time in the root management zone (26) during natural or artificial irrigation, increase then decreasing in the moisture, swelling soil due to subsurface creatures, root management area, the location of the root hairs absorbing water and proving information on other particular issues that makes a capacitive difference.

Water absorbing roots in the root management area (26)move towards the water according to laws of nature and the root will begin to absorb water from the points is has reached with sprinkler fountain( 17) surface drip irrigation pipe(l6), subsurface drip irrigation pipe(24) or natural appearance of rainfall. Artificial intelligence cell (9) is integrated with capacitive detection sensors(20), determines the capacitive differences of the water absorbed by the roots as well as the development of the roots interprets the necessary information about the location of absorbent hair of the plant effective root zone (18) The artificial intelligence cell(9) will learn to operate the irrigation system in order to create the desired root volume by managing the desired root development in the root management area(26) by the inference obtained from these activities for each different plant, soil structure.

The necessary electricity for the station is provided by the battery (8). In order to charge the battery (8), the solar panel (2) is used to produce solar energy. The electrical energy produced in the solar panel (2) is transferred to the charge control circuit (10) with the charging cable (4). The charge control circuit (10) regulates the voltage required for the electrical energy generated in the solar panel (2) to be used to charge the battery (8). Charging the battery (8) allows the system to be used in the evenings. The solar panel (2) is montaged to the solar panel retainer frame (1) with screws to ensure that the solar panel (2) remains rigid. The solar panel (2) is mounted at a certain angle on the carrier profile so that the sun's rays can be utilized to the maximum. The electrical energy obtained in the solar panel (2) is transferred to the charge control circuit (10) in the insulated protection box (5) of the charging cable. In order to detect the capacitive differences of the Root Development Manager (22) in the soil, the necessary electrical energy is transferred with the battery via sensor communication cable (6). LED / LCD display (11) on the protection box (5) is used for real-time monitoring of the system's turning on, off, resetting, determining the threshold levels of capacitive difference detection sensors (20) and the capacitive difference of the plant's root structure on sensors. LED / LCD display (11) has capacitive or resistive touch detection. LED / LCD Display (11) works connected to the artificial intelligence cell (9). The artificial intelligence cell (9) transmits the information displayed on the LED / LCD display (11) at an average speed of 9600bps via the serial port. This information is received from the artificial intelligence cell (9) capacitive difference detection sensor (20). It is also possible to monitor and control all other sensor data on the device as well as the LED / LCD display (11) and the remote machine (27).

The root development manager (22) has capacitive difference detection sensors (20) that detects the capacitive change that will occur in many and all types of soils. Capacitive difference detection sensors (20) can be set to the capacitive value of the plant and it is possible to monitor the changes in the plants effective root zone (18). TTP229 or similar system integrated circuits is used in the controller (19) as capacitive difference detection sensor (20). Therefore, the desired number of capacitive difference detection sensors (20) can be obtained. The number of controllers (19) used in the root development manager (22) module is increased. Capacity between 2 and 50pL is used to determine the capacitive difference detection sensor (20) reference within the controller (19).

Capacitive difference detection sensor (20) is calibrated from menu on LED / LCD display (11). In this case, the capacitive difference detection sensor (20) accepts the initial reference as the current capacitive value. The change in the amount of moisture in the plant effective root zone (18) changes the capacitance between the capacitive difference sensors (20) and the soil root in the development of the plant roots in the soil. This information is sensed by the controller (19) and transmitted to the main controller (14). The main controller (14) transmits the map information generated by the capacitive differential data received from all the capacitive difference sensors(20), the amount of moisture measured by the moisture sensor(23) and the time interval to the artificial intelligence cell (9)using the sensor communication cable(l2). This information is received by the artificial intelligence cell (9) at an average speed of 9600bps. The capacitive difference information detected by each sensor is sent separately to the address reserved for each capacitive difference detection sensor (20) on the LED / LCD display (11) of the artificial intelligence cell (9). Therefore, a capacitive difference map is formed on the screen in the plant effective root zone (18). In order to interpret this information and store it in the time axis, data is transmitted over the Internet cloud using the Wi-Fi transmitter on the artificial intelligence cell (9). It will be possible for the root development manager (22) for remote machine (27) users to observe the capacitive differences in the plant effective root zone (18) of the plant and to perform operations such as the operation or closing of the irrigation system through cloud-internet. As the cloud-capacitive different detection sensors (20) will be able to monitor the values in real time the mobility in the past can also be simulated by selecting certain time intervals.

Method of application of the invention to industry

The invention will enable the development of effective root regions of the plants in the fields of vegetative production and landscaping in the desired manner, feeding and watering without causing water loss. In this perspective, 75% of the limited water sources of the world will be saved along with ensuring water and energy savings also, in the stage of giving fertilizer with effective root zone irrigation system, the roots of water and the intake of the molten fertilizer will be observed and simulated. Along with savings in the fertilizer, unnecessary use of chemical against environmental pollution will be prevented. In this manner, there will be savings on water, energy and fertilizer use and yield and quality will be increased. Plant feeding can be observed for the first in the root volume of the plants and as for the laws of nature, the roots that intake water of the plants moves towards the moisture, therefore, irrigation water will be given only to the effective rootzone of the plant. Especially saline water and excessive salt accumulation in the soil will be prevented. For this and related reasons, invention will be needed especially in park, gardens and agricultural production areas. The formation of plant roots in agriculture and the use of artificial intelligence for the first time will be provided by multi-sensor structure that provides big data during plant feeding with irrigation operations. Therefore, in the light of the statistical data other than traditional agriculture, the instructions will be made by the invention without human touch. Because of all these features, it is inevitable that the invention is needed.

Claims

1. Invention, is directed to managing the effective root zone of plants with artificial intelligent cells, features; capacitive detection sensors(20) with artificial intelligent cell (9) to detect the root of the plants effective root zone(l8) and provide the most optimum scenario with artificial intelligent cell (9) for the remote machine (27) users regarding root development, feeding and irrigation in the root management zone (26).

2. Directed to managing the effective rootzone of plant with artificial intelligent cells, features; mapping the root distribution detected with capacitive difference detection sensors (20) during root absorbing water in plants effective rootzone (18).

3. As in Claim 2 directed to managing the effective rootzone of plant with artificial intelligent cells, features; instant observation of plants root development, limiting the given fertilizer to only root management zone (26) and water distribution in plant effective root zone (18).

4. Directed to managing the effective rootzone of plant with artificial intelligent cells, features; is to observe the absorption of the water in the plant effective root zone (18) and the distribution of the soil in different moisture capacities.

5. As in Claim 4 directed to managing the effective rootzone of plant with artificial intelligent cells, features; the most optimal irrigation, fertilizer distribution environment, determine and mathematically simulate the distribution scenarios related to root distribution.

6. Directed to managing the effective rootzone of plant with artificial intelligent cells, features; predicting physical properties of soil by artificial intelligent cell (9) with determining capacitive differences with multi-structure capacitive detection sensors (20) of irrigated soil particles in soil that is in contact with plant effective rootzone(l8) and determining when it’s not being irrigated.

7. Directed to managing the effective rootzone of plant with artificial intelligent cells, features; ensuring the most optimum irrigation, fertilizing, root development with artificial intelligent cell (9) of the device placed in soil with the purpose of analyzing soil profile-root relationship and to teach optimum irrigation system management scenario to the root development manager(22).

8. Directed to managing the effective rootzone of plant with artificial intelligent cells, features; the desired number and shape of capacitive difference detection sensors (20) to provide many statistical large enough data with artificial intelligent cell (9) on root development manager (22).

9. Directed to managing the effective rootzone of plant with artificial intelligent cells, features; the ability to measure the amount of moisture in the plant effective root zone (18) with moisture sensor (23) and calibrate capacitive difference detection sensors (20) located at the root management zone (26) at each moisture level according to different moisture capacities and observe the activity related to the water intake of the roots in the plant effective root zone (18) with moisture at different moisture levels in the soil profile and able to define the moisture movement due to natural laws at different moisture levels in the soil profile at the borders of the root management zone (26).

10. Directed to managing the effective rootzone of plant with artificial intelligent cells, features; calibrating itself according to the capacitive value in the stationed soil and determine the capacitive differences even if the irrigation system is not active and not being used.