Wheat Detection uses YOLO11 to identify wheat heads in images from the GlobalWheat2020 dataset. This project automates dataset download, model training, and inference with bounding box visualization. Ideal for precision agriculture, it supports crop monitoring with an easy-to-use Python script. 🌾🚜

Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. Crop Yield Prediction Using Machine Learning analyzes soil and weather data to forecast crop production, helping farmers improve planning, optimize resources, and increase agricultural productivity.

Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. AI-Based Crop Yield Prediction System leverages AI to forecast crop yields using weather, soil, and historical data, helping farmers optimize decisions, increase productivity, and reduce resource wastage.