Smart Agriculture System with Leaf Disease Detection and Seed Size Prediction

ABSTRACT– Agriculture is facing the challenge of meeting increasing food demands while being sustainable and efficient. This paper presents a Smart Agriculture System that uses Internet of Things (IoT) technology and machine learning to help farmers make better decisions. The system includes sensors to monitor soil conditions and weather, providing real-time updates. A machine learning model (CNN) is used to detect diseases in plant leaves early, while another model (Random Forest) predicts seed sizes to guide crop planning. These features help farmers save resources, improve crop quality, and increase yields. By combining traditional farming with modern technology, this system offers practical solutions to common farming problems. The goal is to make farming easier, more productive, and environmentally friendly while contributing to sustainable food production. Keyword: Temperature control, Temperature sensor, NodeMCU Microcontroller, Relay Compressor, Temperature Monitor, Soil Moisture.