winter000boy/Crop-Yeild-Prediction
Crop Yield Prediction Using Machine Learning leverages data analysis and machine learning techniques to predict agricultural crop yields based on environmental and soil parameters. The project involves data preprocessing, visualization, and model training, providing an efficient tool for enhancing agricultural decision-making.
No commits in the last 6 months.
Stars
2
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Nov 21, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/winter000boy/Crop-Yeild-Prediction"
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...
vannu07/Farm-IQ-AI-Powered-Smart-Farming-Assistant
An intelligent system leveraging Machine Learning (ML) models to analyze soil health, weather,...
twitter-research/image-crop-analysis
Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness...