GreenWatch: Revolutionizing Farming with Plant Disease Detection

Abstract:This project aims to use statistics and AI to improve plant health and detect leaf diseases earlier. It analyzes farming data with ML algorithms to build models for accurate disease detection. The project focuses on using ResNet and Inception models to identify and categorize disease severity. The goal is to create a reliable and efficient system for real-time disease detection in farming, potentially using sensor data in the future.

From Data to Harvest through Machine Learning-Based Crop Yield Forecasting.

Abstract: Soil is crucial for crop health and productivity, but its fertility is declining in many countries. This app uses AI (CNN and KNN algorithms) to analyze soil and predict crop health, enabling farmers to make better decisions about resource management and disease control.

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