HarvestNet

HarvestNet是由斯坦福大学开发的数据集，专注于通过收获堆和遥感技术检测埃塞俄比亚Tigray和Amhara地区的农场存在。该数据集包含7000张手工标记的卫星图像，用于2020-2023年的农场映射。数据集的创建结合了专家知识和卫星图像，旨在通过检测收获堆来提高食物不安全地区的作物土地评估的及时性和准确性。HarvestNet的应用领域包括监测食品安全、评估自然和人为灾害的影响，以及为农业推广和发展政策提供信息。

HarvestNet is a dataset developed by Stanford University, focusing on detecting farm presence in the Tigray and Amhara regions of Ethiopia using harvest piles and remote sensing technologies. The dataset includes 7,000 manually labeled satellite images for farm mapping spanning 2020 to 2023. Developed by integrating expert knowledge and satellite imagery, HarvestNet aims to improve the timeliness and accuracy of crop land assessments in food-insecure regions by detecting harvest piles. Its applications include monitoring food security, assessing the impacts of natural and anthropogenic disasters, and informing agricultural extension and development policies.