Case study
Crop Disease Detection System
A practical AI solution designed to make crop disease identification more accessible.
The challenge
Farmers needed a faster and more accessible way to identify likely crop diseases before damage spread.
Our solution
Rennovex developed an image-based web application that classifies crop symptoms using a trained machine-learning model.
Development process
Discovery, dataset preparation, model training, interface design, API integration, testing, and deployment preparation.
Results achieved
Improved access to preliminary crop disease identification and created a foundation for future agricultural advisory features.