A machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.
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Updated
May 5, 2024 - Jupyter Notebook
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.
Optimizador de aplicación de fertilizantes para cultivos — Python
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.
This app will help small Fertilizers retailers to manage their inventory and sales.
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.
Orbicle Bio — independent third-party profile of a public API surface, by API Evangelist. Orbicle Bio is an agricultural biotechnology startup developing carbon-negative, microbial-based organic fertilizers derived from soil microbes to replace synthetic fertilizers. Backed by 500 Global, the company targets rice-farming productivity and soil susta
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