AI-BASED SMART FARMING MONITORING SYSTEM

Abstract: Agriculture plays an important role in economic development, but traditional farming methods face challenges such as water wastage, unpredictable climate conditions, soil degradation, and low crop productivity. Farmers also find it difficult to continuously monitor field conditions manually. To overcome these problems, this project proposes an AI- Based Smart Farming Monitoring System using Artificial Intelligence (AI), Internet of Things (IoT), and real-time monitoring technologies. The system uses sensors to collect environmental data such as soil moisture, temperature, humidity, and rainfall. The collected data is processed and analysed to support smart irrigation and crop management decisions. A web dashboard allows farmers to monitor field conditions remotely and receive real-time alerts. The system also automates irrigation based on soil moisture levels, reducing water wastage and manual effort. The proposed system improves farming efficiency, supports sustainable agriculture, and helps increase crop productivity.

Keywords: Smart Agriculture, IoT, Artificial Intelligence, Automated Irrigation, Real-Time Monitoring, ESP8266, Precision Farming, Crop Monitoring, Flask, Python