加利福尼亚作物产量基准数据集

加利福尼亚作物产量基准数据集是一个包含超过70种作物，覆盖加利福尼亚州所有县的数据集。该数据集整合了多种数据来源，包括Landsat卫星图像、每日气候记录、每月蒸发蒸腾量和高分辨率土壤属性。数据集的时间跨度为2008年至2022年。该数据集为县一级、特定作物的产量预测提供了标准化和全面的输入。数据集的创建旨在通过整合多源数据，提高作物产量预测的准确性，确保模型在作物类型、地区和管理条件方面具有鲁棒性。数据集及其代码库已在GitHub上公开提供，可供公众访问和使用。

The California Crop Yield Benchmark Dataset is a comprehensive dataset covering all counties in California, encompassing over 70 crop varieties. It integrates multiple data sources, including Landsat satellite imagery, daily climate records, monthly evapotranspiration data, and high-resolution soil properties. The dataset spans the period from 2008 to 2022, and provides standardized and comprehensive input features for county-level, crop-specific yield prediction tasks. Developed to enhance the accuracy of crop yield prediction via multi-source data integration, this dataset ensures the robustness of predictive models across diverse crop types, geographic regions, and agricultural management conditions. The dataset and its accompanying codebase are publicly released on GitHub for unrestricted public access and use.