AgriGo is an AI-powered web application that supports farmers in three critical areas: crop recommendation, fertilizer optimization, and plant disease detection. Built with Flask, TensorFlow, and scikit-learn, it analyzes soil and environmental inputs (e.g., NPK levels, pH, temperature, rainfall) to suggest the most suitable crops and fertilizer plans. It also features image-based disease identification using a deep learning model trained on leaf images. AgriGo is designed for local use or containerized deployment via Docker.
AgriGo
AgriGo
AgriGo is an AI-powered web application that supports farmers in three critical areas: crop recommendation, fertilizer optimization, and plant disease detection. Built with Flask, TensorFlow, and scikit-learn, it analyzes soil and environmental inputs (e.g., NPK levels, pH, temperature, rainfall) to suggest the most suitable crops and fertilizer plans...
Organization
GitHub user
Deployment Model
Cloud
Agricultural Production Step
Fertilization, Pest management
End User
Farmers, Advisors, Developers
Category
Used for
Crops
TRL
6-7
Community Engagement
Low
Number of Forks
5
Country
Universal
Licence
Disclamer
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