Productive Crop Field Detection Dataset

本数据集名为‘Productive Crop Field Detection Dataset’，由圣保罗联邦大学计算机科学系创建。数据集包含106,735条记录，每条记录对应一个地理空间L12六边形，涵盖了从2018年到2019年的Sentinel-2卫星图像。数据集通过结合农业机械操作和卫星图像跟踪，提供了高质量的标记样本，特别适用于正负样本学习。该数据集主要用于精准农业中的作物田检测，旨在自动化识别和评估作物生长情况，提高农业效率。

This dataset is named 'Productive Crop Field Detection Dataset' and was created by the Department of Computer Science at the Federal University of São Paulo. It contains 106,735 records, each corresponding to a geospatial L12 hexagon, and covers Sentinel-2 satellite images from 2018 to 2019. The dataset provides high-quality labeled samples by combining agricultural machinery operation and satellite image tracking, which is particularly suitable for positive and negative sample learning. It is primarily used for crop field detection in precision agriculture, aiming to automatically identify and assess crop growth conditions and improve agricultural efficiency.