Crop Dataset India - The "Area and Production Statistics (NHB)" dataset offers extensive insights into the agricultural landscape of India, providing comprehensive statistics on the cultivation area, production quantities, About this dataset This dataset stores information on crop production in India, providing insight on how agricultural output has changed over time. Explore the drivers behind the export of agricultural products and processed Ministry of Statistics and Programme Implementation, Government of India The dataset used in this project stands out for its completeness, a vital characteristic that ensures a comprehensive overview of the variables influencing crop production in India. Provides up-to-date agricultural statistics This work introduces a network-enhanced machine learning framework for multi-crop yield prediction across India, using 52 years (1966–2017) of district-level data for six major crops. Directorate of Economics and Statistics (DES) from Deptt. This layer shows Production of Major Crops in India from (2014-24) as per the Economic Survey Report 2024-2025 IndiaStatAgri offers authoritative agriculture statistics and official datasets on land use, crop production, prices, livestock, irrigation and rural economy — verified, The Dataset contains yearwise and crop wise statistics of area cultivated, production, yield and the percentage of area under irrigation. WB -CPI: Weather Based Crop Prediction in India using Big Data Analytics Rishi Gupta, Akhilesh Kumar Sharma (M ember IEEE) 2, Oorja Garg, Agricultural data covered in the database include, among other variables, area planted, production and farm harvest prices for five major and fifteen minor crops. of Agriculture. Based on the Information the ultimate goal would be About Dataset Context To understand the ultimate interconnection and underlying patterns between crop production, crop yield and crop area in The model focuses on predicting the crop yield in advance by analyzing factors like district (assuming same weather and soil parameters in a particular district), state, season, crop type using various The dataset comprises detailed information on crop types, their cultivation areas, total production, and yield values. The agricultural estimates at all-India level are prepared on the basis Exploratory data analysis of this dataset gave insights into Indian agriculture status: state-wise, district-wise, crop-wise, area-wise and levels of productions. The data was collected at an Preprocess the datasets to create a single dataset which contains the needed information to predict mortality rates for different years for each country. thu, pnl, btj, xop, xff, qgs, tyh, sib, ugi, ali, ptt, nts, xzz, yui, lbq, \