A machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.
A R package to advice optimal mix of fertilizers
A package to generate the FPR Technical Documentation for a fertilizing product
Full-featured application for online sales of fertilisers of all different categories.
This app will help small Fertilizers retailers to manage their inventory and sales.
As a final project of computational course at SRU with Dr.Pazouki, we're going to develop a system based on deep learning concepts and computational evolution algorithms for predicting and optimizing use of fertilizers in Asia.
The Fertilizer Recommendation System is a web-based application designed to provide tailored fertilizer recommendations for different crops based on various factors like growth stage, soil properties, climate, and more. It consists of a frontend built with React and a backend powered by Flask, using Prolog for inference.
Add a description, image, and links to the fertilizers topic page so that developers can more easily learn about it.
To associate your repository with the fertilizers topic, visit your repo's landing page and select "manage topics."