AI-BASED AUTONOMOUS DECISION SUPPORT AND INJECTION PROBE FOR PLANT ROOT REGION

Abstract

The present invention relates to a hybrid device developed for use in precision agriculture and fertigation applications; it measures soil moisture, temperature, and electrical conductivity data at root depth and analyzes this data using an embedded artificial intelligence processor to autonomously determine irrigation / fertilization timing.

Description

1 TARIFF 5 AI-BASED AUTONOMOUS DECISION-MAKING FOR PLANT ROOT AREAS SUPPORT AND INJECTION PROBE Technological Field: This invention was developed for use in precision agriculture and fertigation applications; measuring soil moisture, temperature, and electrical conductivity data at root depth, and these 10 irrigation / fertilization by analyzing data with an embedded artificial intelligence processor It involves a hybrid device that autonomously decides on its timing. State of the Art: In current systems, water and fertilizer management in agricultural production is basically divided into three different categories. This is achieved through various approaches. However, each of these approaches is technical. 15 It has disadvantages: Conventional Surface Irrigation: Because water is released onto the soil surface, it is used in hot climates. 10-30% of the water evaporates before reaching the roots (evapotranspiration). Also from the surface... The water given causes the roots to grow upwards (root dormancy). Subsurface Irrigation (SDI): Pipes are buried in the ground. However, plant roots... 20 Over time, it migrates towards the water source and enters the drip emitter holes (Root Intrusion) and the system It clogs the road. Excavation is required to locate the fault. Separate Sensor and Valve Architecture: In existing systems, the sensor is located at one end of the field, and the valve at the other. Because it is at the other end, data latency occurs. Also These systems, which operate according to static rules (e.g., "Water if humidity is 30%), can be affected by wind speed or plant density. It fails to take into account variables such as phenology. In the existing systems described above, water reaches the root tip directly without evaporation. enabling transmission, mechanically preventing root blockage, sealing problem An integrated device that solves the problem and performs proactive irrigation with "learning ability". It is not present. The root system allows water to be delivered directly to the root tip without evaporation. 30 mechanically preventing clogging, the leakage problem has been solved and "learning" There is no integrated device that performs proactive irrigation with this "ability". The technique we have developed addresses the shortcomings of the above systems by providing measurement capabilities. and by combining irrigation into a single concentric structure, existing techniques The aim was to close these gaps. In this context, the developed irrigation system is 35. Because it has a coaxial (intertwined) structure, the electricity line and the water line are separate from each other. It is insulated. Since the water does not come to the surface, it exits from nozzles located 15-40 cm deep. 2 Evaporation has been prevented. In addition, the microchip on the device prevents the soil from "drying out". The artificial intelligence algorithm calculates the "drying rate" of the soil. By opening the valve before it dries out and the plant becomes stressed, it will maximize efficiency. It is designed in this way. Figure Explanation 10 Figure 1: General assembly view of the device and its placement in the ground. Figure 2: Detail view of the lower end. Figure 3: Detailed top view of the control unit, valve, and power group. Figure 4: Application screen References: 1. Outer Casing 2. Conical Tip 3. Sensor Head 4. Humidity and EC Sensor Electrodes 20 5. Internal Flow Channel 6. Injection Nozzles 7. Recoil Mechanism / Spring Ball Bearing 8. Control Unit 9. Artificial Intelligence (AI) Processor and PCB 25 10. Solenoid Valve 11. Energy Source 12. Hose Connector 13. Application screen 13.a. System start button 30 13.b. Read data button 13.c Calculate Speed / Ratio button 13.c. Is there a risk button 13.d. No button 13.e. Sleep mode button 1 35 13.f. Yes button 13.g. Valve open command 3 13. Observe command 5 13.h. Close valve command. 13.i. Sleep mode button 2 Description of the Invention: The invention is a cylindrical, corrosion-resistant material designed to increase agricultural productivity. An Outer Casing (1) made of material (e.g. ABS plastic or stainless steel) 10 It is built upon. At the lowest point of the trunk where it enters the soil, its penetration... It has a pointed conical tip (2) which facilitates the use of the pointed tip. The measurement process is carried out using the waterproof Sensor Head (3) located in the lower segment of the body. This is carried out by. On this heading, moisture is obtained by making direct contact with the soil. 15 corrosion-resistant probes that measure salinity and electrical conductivity (salinity / fertilizer content). It includes Humidity and EC Sensor Electrodes (4) made of material. The system's operational cycle and user interaction are mobile, integrated with the hardware. It is managed via an Application Screen (13). The process works as follows: The user can start the system using the Start System Button (13 a) and the Power Source (11) on the application interface. By activating it, it wakes up the device. Then, when the Read Data Button (13b) is triggered, 20 Raw data received from sensors (4) Artificial Intelligence (AI) inside Control Unit (8) It is transmitted to the processor (9). The processor analyzes this data and the Calculate Speed / Ratio Button (13c) The function is activated, determining the optimum amount of liquid and flow rate needed by the plant. determines. From a system security point of view, the user can check for excessive soil 25 via the Risk Inquiry Button (13c). It checks whether there is a risk of saturation or chemical burns. By the AI ​​processor If the analysis reveals a risk or that irrigation is not required, the user should say No. Cancel the operation and switch off the power using Button (13d) or Sleep Mode Button 1 (13e). It saves money. If the analysis is positive and irrigation / fertilization is to be done, confirmation is given with the Yes Button (13f) 30 and the system sends the Valve Open Command (13g). This command opens the Solenoid Valve (10), The fluid coming through the Hose Connector (12) passes through the Internal Flow Channel (5) It enables the liquid to advance. The liquid is injected in a controlled manner via the Injection Nozzles (6) on the body. It is injected into the root area in some way. During this process, a check valve occurs. Its mechanism (7) prevents soil or dirty water from entering the device. 35 The user can monitor the injection process in real-time through the application with the Monitor Command (13ğ). It can be monitored as follows. When the desired dosage is completed, the flow is stopped with the Valve Close Command (13h). 4 The device is switched off and the operation is completed with the Sleep Mode Switching Button 2 (13ı) 5 It is switched off until the next measurement.

Claims

REQUIREMENTS 5 1. The invention is intended for use in precision agriculture and fertigation applications. improved; root data on soil moisture, temperature and electrical conductivity measures at depth and analyzes this data with an embedded artificial intelligence processor. a hybrid that autonomously decides on irrigation / fertilization timing The device is related to; its features are: Outer Casing (1), Conical Tip (2), Sensor Head (3), 10 Humidity and EC Sensor Electrodes (4), Internal Flow Channel (5), Injection Nozzles (6), Recoil Mechanism / Spring Ball (7), Control Unit (8), Artificial Intelligence (AI) Processor and PCB (9), Solenoid Valve (10), Power Supply (11), Hose It is characterized by the Connector (12) and Application Screen (13).