https://github.com/sayamalt/crop-yield-prediction
Successfully created a regression model for performing predictions on the net area yield of any particular crop.
https://github.com/sayamalt/crop-yield-prediction
machine-learning regression-analysis
Last synced: about 1 year ago
JSON representation
Successfully created a regression model for performing predictions on the net area yield of any particular crop.
- Host: GitHub
- URL: https://github.com/sayamalt/crop-yield-prediction
- Owner: SayamAlt
- Created: 2022-05-30T13:46:02.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2022-06-02T15:26:10.000Z (about 4 years ago)
- Last Synced: 2025-05-19T08:49:58.993Z (about 1 year ago)
- Topics: machine-learning, regression-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 703 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Crop-Yield-Prediction
## Context
The science of training machines to learn and produce models for future predictions is widely used, and not for nothing. Agriculture plays a critical role in the global economy. With the continuing expansion of the human population understanding worldwide crop yield is central to addressing food security challenges and reducing the impacts of climate change.
Crop yield prediction is an important agricultural problem. The Agricultural yield primarily depends on weather conditions (rain, temperature, etc), pesticides and accurate information about history of crop yield is an important thing for making decisions related to agricultural risk management and future predictions.
## Acknowledgements
All dataset(publicly available dataset) here are taken form FAO (Food and Agriculture Organization) and World Data Bank.
http://www.fao.org/home/en/
https://data.worldbank.org/