Intelligent Multifunctional Agricultural Robot System Solution

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Intelligent Multifunctional Agricultural Robot System Solution.

Artificial Intelligence (AI), as an emerging technology applied in the agricultural field, is gradually changing the face of traditional agriculture. The emergence of intelligent multifunctional agricultural robots is of great significance in improving agricultural production efficiency, reducing labor intensity, improving the quality of agricultural products, increasing farmers' income and promoting the process of agricultural modernization. With the continuous advancement of technology, agricultural robots will surely play a more important role in future agricultural production.

Our solution

This system is mainly composed of Raspberry Pi 4B as the AI hub, STM32F746 Discovery development board as the core, 48V to 5V 5A power module, 4G/WIFI module, 3D laser radar, motor drive module, RTK high-precision positioning system and 2.4G wireless remote control and other devices.

The remote control contains buttons, indicator lights and display screens. The buttons are used to move forward, backward, turn left, turn right, start and stop spraying, and control the intelligent spraying vehicle through wireless communication commands. The indicator lights show the status of the remote control and the spraying vehicle, such as power and working status. The STM32F746 display screen provides the real-time position, movement status and spraying status of the intelligent spraying vehicle, which is convenient for agricultural managers to monitor.

The intelligent sprayer realizes spraying control and positioning through Raspberry Pi. The system consists of chassis, driving control, spraying control, motion sensor and GNSS differential positioning.

Software design includes FreeRTOS real-time operating system with ROS system SLAM algorithm as the core, involving data transmission debugging between Raspberry Pi and single-chip microcomputer, high-precision positioning of Qianxun Alibaba Cloud Internet of Things, 4G/WIFI module access and development of Raspberry Pi host computer control software.

Obstacle recognition and positioning are realized through deep learning algorithm, RTK information and agricultural robot status are transmitted to the cloud through Internet of Things technology, and the sprayer position collection, path editing/distribution, mode switching and navigation control functions are completed.