Revolutionizing Smart Farming with AI, IoT, and Earth Observation for Precision Agriculture

Agriculture is challenged to ensure a secure food future, maximize the profitability of available resources, and respond to climate change. FarmEasy responds to these challenges through Earth Observation (EO) data, Artificial Intelligence (AI) and the Internet of Things (IoT) , which enhance agricultural decision-making. The system incorporates satellite imagery with real-time soil health assessment through sensors, allowing accurate monitoring of pH, nitrogen, phosphorus, and potassium content to maximize nutrient management. A Convolutional Neural Network (CNN) powered pest detection model inspects plant photos to detect infestations, initiating automated responses like optimized irrigation control. The system also delivers a customized Farmer Information Hub via Optical Character Recognition (OCR) for effective data monitoring and farm management. Furthermore, FarmEasy facilitates pre- and post-disaster surveys by monitoring soil moisture, vegetation health, and land use patterns, feeding into early warning systems and post-event recovery planning. The cloud-enabled, mobile-compatible design of the platform enables access and scaling while providing actionable intelligence to empower farmers. In this research, the effectiveness of the system in improving agricultural productivity, minimizing resource loss, and supporting climate-resilient farming practices is analyzed, marking the beginning of future innovations in AI precision agriculture.