Haotian Zhu
ABSTRACT
In view of the problems that the current rural land data detection is not timely, the degree of intelligence is backward, and the risk discovery and prediction is not timely, the smart "farmer" rural land risk prediction system is developed through the modern technology of Big data, artificial intelligence, agricultural Internet of Things and modern sensing equipment. Based on the Spring Boot framework, the system mainly realizes the functions of viewing rural land data and risk prediction. Through the innovation of visualization technology in the intelligent "farmer" rural land risk prediction system and the application of deep learning technology in artificial intelligence, it is possible to better display the current data situation of rural land intuitively, achieve more timely real-time supervision, and make timely adjustments and repairs based on the predicted risk information of the system. This helps to make rural land and planting more intelligent, scientific, and systematic, improving the control of land and crop information, which is of great research and development significance for the intelligent development of modern rural land.
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Index Terms
- "Research of the Smart \"Farmer\" System and Rural Land Risk Prediction"
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