Research and implementation of multifunctional autonomous inspection system for smart agriculture

With modern agriculture rapid development, traditional manual inspection method has been difficult to meet large-scale intelligent agricultural production needs．To address this problem, an intelligent inspection trolley system controlled by an Arduino microcontroller has been designed and realized．System integrated multiple key technologies．Automatic navigation was achieved through infrared sensors and servos．An OV2710 high-definition camera was equipped to collect crop growth status．Double obstacle avoidance technology combined infrared and ultrasonic advantages, so that system could better adapt to various agricultural environmental conditions．Environmental monitoring sensors for temperature and humidity sensors were integrated to achieve a comprehensive monitoring for farmland environment．System adopted WiFi wireless transmission technology to upload collected images and environmental data to cloud platform in real time, enabling users to remotely view farmland conditions anytime．To solve battery life concerns, a solar power supply module was equipped, which can work continuously for more than 8 hours under sufficient sunlight conditions．In addition, system also supported GPS localization to ensure inspection path accuracy and traceability．Experimental results showed that intelligent inspection system stably and reliably fulfilled remote monitoring tasks for farmland environment, and it was applicable to diverse agricultural production scenarios such as farms, orchards and greenhouses．System not only significantly improved agricultural inspection efficiency and accuracy, but also provided real-time and accurate data support for agricultural production management, establishing an efficient and economical solution for intelligent agriculture．