Hamid-abdellaoui/Crop-yield-prediction
Crop yield Forecasting on the basis of meteorological predictions using some Time series & ML models
This tool helps agricultural planners and farmers predict wheat crop yields. By taking historical daily meteorological data (temperatures, rainfall) and past annual wheat production, it forecasts future crop yields. Farmers and agricultural organizations can use these predictions for better planning and resource allocation.
No commits in the last 6 months.
Use this if you need to forecast soft wheat crop yields based on historical weather patterns and past production data.
Not ideal if you require predictions for different crop types, need real-time data integration, or lack access to historical meteorological and yield data.
Stars
10
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 21, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Hamid-abdellaoui/Crop-yield-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...