PandaByte7/Agriculture-Production-Optimization-Engine
An automated agriculture production optimization engine is implemented in this project. The technique uses past crop data, weather trends, and soil properties to forecast the best crop for a certain area. The data is analysed and processed using machine learning algorithms, which produce precise forecasts.
No commits in the last 6 months.
Stars
7
Forks
6
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 28, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/PandaByte7/Agriculture-Production-Optimization-Engine"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
omroy07/AgriTech
AgriTech is an AI-powered web platform that offers crop recommendations, yield prediction,...
Project-AgML/AgML
AgML is a centralized framework for agricultural machine learning. AgML provides access to...
Gladiator07/Harvestify
A machine learning based website that recommends the best crop to grow, fertilizers to use, and...
twitter-research/image-crop-analysis
Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness...
Drinkler/Yield-Prediction
:seedling: Crop Yield Prediction using Machine Learning