https://github.com/renukadhule/crop_production_python_analysis
This project analyzes crop production data in India from 1997 to 2015, identifying trends, seasonality, and top-performing states and crops. The insights aim to guide improvements in agricultural productivity and policy decisions.
https://github.com/renukadhule/crop_production_python_analysis
matplotlib numpy pandas python
Last synced: 2 months ago
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This project analyzes crop production data in India from 1997 to 2015, identifying trends, seasonality, and top-performing states and crops. The insights aim to guide improvements in agricultural productivity and policy decisions.
- Host: GitHub
- URL: https://github.com/renukadhule/crop_production_python_analysis
- Owner: renukadhule
- Created: 2025-01-18T13:08:46.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-26T05:53:04.000Z (over 1 year ago)
- Last Synced: 2025-01-26T06:24:24.532Z (over 1 year ago)
- Topics: matplotlib, numpy, pandas, python
- Language: Jupyter Notebook
- Homepage:
- Size: 2.88 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Crop Production in India🌾
## About This Project
This project focuses on analyzing the crop production data from India. The dataset contains information on crop production across various states and districts from the year 1997 to 2015. It includes key details such as crop type, area, production, and season.
The goal of this project is to provide insights into agricultural trends, production patterns, and the seasonal distribution of crop yields.
## Build With
**Programming Language**: Python
**Libraries**:
- **Numpy**: Numerical computations
- **Pandas**: Data cleaning and manipulation
- **Matplotlib & Seaborn**: Data visualization
## Dataset Used
[get the dataset here](https://www.kaggle.com/datasets/abhinand05/crop-production-in-india?select=crop_production.csv)
## Key Insights
- **Seasonality**: Whole Year crops dominate production, followed by Kharif and Rabi seasons.
- **Top States**: Kerala leads in rice production, while Karnataka excels in maize.
- **Top Crops**: Rice and Maize are the most cultivated and produced crops.
- **Area vs. Production**: Higher cultivated areas generally yield greater production.
- **Districts**: Karimnagar and Davangere account for 45% of maize production.
## Recommendation Analysis
- **Focus on Key Seasons**: Improve production in Whole Year and Kharif seasons.
- **Support Strong States**: Help Kerala grow more rice and Karnataka maintain its maize production.
- **Invest in Productive Areas**: Direct more resources to states like Kerala and Karnataka.
- **Increase Farm Area**: Expand the area of land used for crops in high-production regions.
- **Promote Sustainability**: Encourage eco-friendly farming practices to maintain long-term productivity.
## Conclusion
This analysis provides valuable insights into India's crop production patterns, helping to identify trends in agricultural productivity.
It also highlights which states are leading in various crops, allowing for more targeted agricultural policy and decision-making.