dhyann2815/india-crop-yield-prediction

一个用于构建印度农业作物产量预测模型的综合数据集，涵盖27年（2000–2026）、31个邦/联邦属地以及62种作物类型。数据集包含多种特征，如年份、邦、作物、季节、种植面积、产量、年降雨量、肥料使用量、农药使用量和产量（目标变量）。数据集分为训练集和测试集，无缺失值。README还提供了数据来源、方法以及使用数据集的快速入门指南。A comprehensive dataset for building crop yield prediction models for Indian agriculture, covering 27 years (2000–2026), 31 states/UTs, and 62 crop types. The dataset includes various features such as year, state, crop, season, area under cultivation, production, annual rainfall, fertilizer usage, pesticide usage, and yield (the target variable). The dataset is split into training and test sets, with no missing values. The README also provides information on the data sources, methodology, and a quick start guide for using the dataset.