AGRISENSE IOT-AI: INTELLIGENT CROP MONITORING AND YIELD PREDICTION SYSTEM

Abstract

Agriculture plays a crucial role in ensuring food security and economic development. Traditional farming practices often rely on manual monitoring, which can be time-consuming, labor-intensive, and prone to errors. The proposed AgriSense AI: Intelligent Crop Monitoring and Yield Prediction System utilizes Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), and Remote Sensing technologies to provide real-time crop monitoring and accurate yield prediction. The system collects environmental and crop-related data such as soil moisture, temperature, humidity, rainfall, nutrient levels, and satellite imagery. Machine learning algorithms analyze these data to detect crop health issues, identify diseases, predict yields, and recommend appropriate farming actions. The platform assists farmers in making data-driven decisions to improve productivity, reduce resource wastage, and enhance sustainable agricultural practices. Experimental results demonstrate improved prediction accuracy, efficient crop monitoring, early disease detection, and optimized resource utilization. Therefore, the proposed system provides a smart and scalable solution for precision agriculture.