Crop Disease Detection System

Farmers needed a faster and more accessible way to identify likely crop diseases before damage spread.

Rennovex developed an image-based web application that classifies crop symptoms using a trained machine-learning model.

Discovery, dataset preparation, model training, interface design, API integration, testing, and deployment preparation.

Improved access to preliminary crop disease identification and created a foundation for future agricultural advisory features.