avikumart/Wild-Blue-Berry-Yield-Prediction-Flask-app-deploy
In this repo, I have worked on Wild Blue Berry Yield prediction project. Dataset was generated by Pollination Simulation Model for research purpose
This tool helps agricultural researchers and wild blueberry growers predict their crop yields. By inputting data on factors like plant arrangement, pollination methods, bee populations, and weather, it estimates the potential blueberry harvest. This allows users to understand how different agricultural practices and environmental conditions might impact their yield.
No commits in the last 6 months.
Use this if you are a researcher or grower interested in forecasting wild blueberry yields based on simulation data or field observations.
Not ideal if you need a predictive model for other types of crops or if you lack detailed input data on pollination and environmental factors.
Stars
8
Forks
3
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jun 21, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/avikumart/Wild-Blue-Berry-Yield-Prediction-Flask-app-deploy"
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...