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Agriculture Production and Yield in India
Data Science and Analytics
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About
This dataset offers detailed statistics on crop production across India, organised by state and district. It includes information for four key crop seasons: Kharif, Rabi, Summer, and Autumn, spanning the years from 1997 to 2023. The data provides insights into the annual production and yield of various crops cultivated throughout the country. It serves as a valuable resource for understanding agricultural patterns, identifying factors influencing crop yields, and making informed decisions to enhance agricultural productivity. The dataset is derived from the Indian government's Area Production Statistics (APS) database, maintained by the Ministry of Agriculture and Farmers Welfare. It aims to inform policy, support sustainable farming practices, improve food security, and facilitate the development of machine learning models for crop yield prediction.
Columns
- State: The name of the Indian State where the crop production data was recorded.
- District: The name of the District within the respective Indian State.
- Crop: The specific variety of crop for which data is provided.
- Crop_Year: The calendar year pertinent to the crop production figures.
- Season: The agricultural season during which the crop was cultivated (e.g., Kharif, Rabi).
- Area: The total land area, measured in Hectares, used for cultivating the crop.
- Production: The total quantity of the crop produced, expressed in Tonnes.
- Yield: The productivity of the crop, calculated as Tonnes per Hectare.
Distribution
The dataset is available in CSV file format (APY.csv) and is approximately 21.14 MB in size. It comprises 8 distinct columns and contains an approximate total of 345,000 records. Sample files will be provided separately on the platform.
Usage
This dataset is ideal for a variety of applications and analyses:
- Researchers can use it to investigate factors affecting crop yields and overall production, aiding agricultural research.
- Policymakers can leverage the data to formulate and implement effective agricultural policies that promote sustainable farming and enhance food security.
- Farmers can gain valuable insights to make informed decisions on crop selection and efficient crop management practices tailored to their region.
- It can be used to train machine learning models for forecasting crop yields and production in different parts of India.
- Agricultural businesses and organisations can utilise the data for strategic planning and market analysis.
- It supports analysis of agricultural trends and patterns to inform decision-making concerning crop selection, irrigation, and other critical agricultural factors.
Coverage
The dataset provides geographic coverage across all states and districts of India. It includes data for four major crop seasons: Kharif, Rabi, Summer, and Autumn. The time range for the data spans from the year 1997 up to 2023.
License
CC0: Public Domain
Who Can Use It
- Academics and Researchers studying agricultural economics, environmental science, and data science.
- Government Officials and Policymakers involved in agricultural planning, food security initiatives, and rural development.
- Farmers and Agricultural Cooperatives seeking to optimise planting strategies and resource allocation.
- Data Scientists and Machine Learning Engineers developing predictive models for agricultural outcomes.
- Anyone with an interest in India's agricultural sector, its economic impact, and societal implications.
Dataset Name Suggestions
- India Crop Production Statistics by State and District
- Indian Agricultural Output Data 1997-2023
- Agriculture Production and Yield in India
- India Farm Data by Region and Season
Attributes
Original Data Source: Agriculture Production and Yield in India
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