Drone-Based Crop Image Acquisition and Targeted Pesticide Spraying Final Year Project Source Code

Drone-Based Crop Image Acquisition and Targeted Pesticide Spraying is a Python Flask based final year project developed for smart agriculture, crop image processing, crop-type identification, and pesticide spray target documentation. This major project includes an operator user portal and administrator portal. Operators can sign up, log in, manage profile, register fields and parcels, upload drone crop images, assign images to parcels, run image processing pipeline, view classification results, draw spray target rectangles, download PDF reports, train a Random Forest model using labelled crop samples, test models, and view activity logs. Admins can manage users, field records, drone images, master datasets, machine learning models, classification results, spray records, system reports, backups, restore operations, and admin password settings. This drone-based crop image acquisition source code is suitable for students who need a final year project, major project, minor project, source code, and project report based on Python, Flask, OpenCV, machine learning, and smart farming.