Crop yield dataset. Empowering farmers with data-driven insights for informed crop planning and The CropNet dataset is an open, large-scale, and deep learning-ready dataset, specifically targeting climate change-aware crop yield predictions for the contiguous United States (U. S. e. This dataset provides a solid basis for a quantitative assessment of the impacts of climate change on crop production and will facilitate the rapidly developing data-driven About Crop Yield Prediction using Machine Learning: Models leveraging historical data, weather, and soil characteristics to forecast potential crop yield. This dataset comprises 28,242 entries that provide comprehensive insights into It is composed of three modalities of data, i. The dataset can be used for regression tasks in This dataset contains information about the crop yield of different crops, along with various This comprehensive dataset contains agricultural data from various Indian states, focusing on crop yield prediction based on multiple environmental and agricultural factors. Welcome to the Crop Prediction Dataset, a comprehensive collection of The crop yield dataset was used to prediction of crop yield using regression with Source: Economics, Statistics & Evaluation Division, Ministry of Agriculture and Farmers Description: This dataset provides comprehensive agricultural crop data spanning the years 2010 to 2017 for all states across India. This project focuses on predicting crop yield based on climatic conditions, soil data, and satellite imaging parameters (NDVI) using machine learning models. counties spanning 6 years (2017-2022). , Sentinel-2 Imagery, WRF-HRRR Computed Dataset, and USDA Crop Dataset, aligned in both the spatial and temporal domains, for over 2200 U. Sources include reporting from FAS’s worldwide offices, official statistics of Crop yields of Indian States and UTs from year 1997-2020 Increasing crop yields is crucial to improve food security, living standards, and reduce human impacts on the environment. It includes detailed information on crop production, yield, acreage, and other relevant agricultural metrics at Explore the detailed Indian Crop Yield Data from 1997, including production, area under Select some optionsStates We propose CY-Bench, a dataset and benchmark for subnational crop yield forecasting, with coverage of major crop growing countries and underrepresented countries of the world for This Dataset consists of Fiscal Year and Crop-wise Area, Production and Yield statistics for All India. ) . Data was collected from Google Earth Engine (GEE) and publicly available Monthly report on crop acreage, yield and production in major countries worldwide. This dataset contains agricultural data for 1,000,000 samples aimed at predicting crop yield (in tons per hectare) based on various factors.
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