Smart Farming: Integrating Soil Monitoring and Weather Analysis for Precision Agriculture

Soil and weather conditions are foundational to agriculture, collectively influencing crop growth and productivity. This project proposes a comprehensive system that integrates soil and weather analysis to support precision farming. The system focuses on monitoring essential soil parameters such as moisture content, temperature, electrical conductivity, pH levels, and concentrations of key nutrients like nitrogen, phosphorus, and potassium alongside crucial weather data. Using open source hardware suitable for field deployment, the system allows farmers to remotely access data through mobile devices or PCs. This dual focus on soil and weather enables farmers to make more informed decisions about agricultural practices. Additionally, the system utilizes machine learning algorithms to predict crops based on soil and weather parameters, aiding in optimizing farming strategies and thereby enhancing overall agricultural productivity.