AGRICULTURE DEMO
AI-Driven Web Application for Automated Disease Detection in Rice and Pulse Crops
An AI-powered web application that detects diseases in rice and pulse crops by analyzing uploaded leaf images. The system uses a trained machine-learning model to identify crop diseases and provide instant predictions. Developed using Streamlit, the platform offers a user-friendly interface that helps farmers and agricultural experts detect diseases early, reduce crop losses, and improve agricultural productivity through timely disease identification.
- Category
- Agriculture
- Runs in
- Your browser, with its own data
- Built with
- PRISM OS
HOW IT WORKS
Try AI-Driven Web Application for Automated Disease Detection in Rice and Pulse Crops in three steps
Pick a product
Browse the live products in the Demo Hub.
Choose a role
Each demo starts with its own data, set up for the role you pick.
Use it
Work in it the way your team would, right in your browser.
DEMO HUB
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ADVISORYAI-Based Agricultural Advisory
AI-Based-Agricultural-Advisory-System-for-Multilingual-Farmer-Query-Assistance
START WITH CLARITY
Want this on your data?
Every demo started as a two-week PRISM prototype. Yours can too.
- 1We review your context within one business day.
- 2A senior product engineer joins the call.
- 3You leave with a clear recommended next step.