Automatic Irrigation and Crop Monitoring using Machine Learning and Internet of Things

Résumé fourni par la source

The Crop environmental monitoring system with intelligence multidimensional and multi-angle crop environment monitoring system is created to satisfy the demands of contemporary society for agricultural crop environmental monitoring. The system gathers, processes, and forwards data to the network module by connecting the appropriate data gathering sensors. Ultimately, the data is sent to the information processing center for accurate processing and analysis before being visually displayed. Ultimately, the system's ability to achieve the desired result, have a high application value, and effectively increase agricultural environment surveillance efficiency is fully demonstrated by the testing and verification of its operation. Low-cost intelligent modules for smart irrigation systems powered by IoT and AI In India, agriculture is the primary source of income for the majority of people. It is essential to use cutting edge technologies to safeguard priceless water supplies. In addition to serving as Industry 4.0's cornerstone, IoT improves smart agriculture. The goal of the research is to develop a cutting-edge, affordable system for intelligent irrigation. Self-talk and inter-device networking are made possible by IoT.

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