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India State Agriculture Production Data
Data Science and Analytics
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About
This dataset contains agricultural statistics for multiple crops cultivated across various states and Union Territories in India from 1997 to 2020. It includes essential features for crop yield prediction and agricultural analysis, such as crop types, crop years, cropping seasons, cultivated area, production quantities, annual rainfall, and usage of fertilisers and pesticides, alongside calculated yields.
Columns
- Crop: The specific type of crop cultivated [1].
- Crop_Year: The year in which the crop was grown [1].
- Season: The particular cropping season, for example, Kharif, Rabi, or Whole Year [1].
- State: The Indian state where the crop was cultivated [1].
- Area: The total land area (in hectares) under cultivation for the specified crop [1].
- Production: The quantity of crop production (in metric tons) [1].
- Annual_Rainfall: The total annual rainfall received in the crop-growing region (in mm) [1].
- Fertiliser: The total amount of fertiliser used for the crop (in kilograms) [1].
- Pesticide: The total amount of pesticide used for the crop (in kilograms) [2].
- Yield: The calculated crop yield, expressed as production per unit area [2].
Distribution
The dataset is provided as a CSV file, named
crop_yield.csv, with a size of 1.62 MB [3]. It contains approximately 19,700 records and features 10 columns [3].Usage
This dataset is valuable for agricultural analysts, researchers, and data scientists focusing on crop yield prediction and agricultural analysis [2]. It provides insights into the relationships between various agronomic factors like rainfall, fertiliser, and pesticide usage, and crop productivity across different states and crop types [2]. Researchers can use this data to develop machine learning models for crop yield prediction and to identify trends in agricultural production [2]. Users should exercise caution when making generalisations or predictions for specific regions or timeframes outside the dataset's scope and are advised to apply feature engineering and selection techniques to enhance its suitability for machine learning models [4].
Coverage
The dataset covers agricultural data for Indian States and Union Territories, spanning the years 1997 to 2020 [5]. It includes various crop types and seasons across these regions [5].
License
CC BY-SA 4.0
Who Can Use It
- Agricultural Analysts: To gain insights into crop productivity and agronomic factors [2].
- Researchers: For studies on agricultural trends and the impact of environmental factors [2].
- Data Scientists: To develop and train machine learning models for crop yield prediction [2].
Dataset Name Suggestions
- Indian Crop Yield Statistics (1997-2020)
- India State Agriculture Production Data
- Crop Yields in India Dataset
- Indian Agricultural Metrics 1997-2020
Attributes
Original Data Source: India State Agriculture Production Data`
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