沃伊沃迪纳 (塞尔维亚) 灌田 (2020-2024) 的第一个地理空间数据集
Mirjana Radulović1, Miljana Marković2, Sanja Brdar2
1BioSense Institute - the Research and Development Institute for Information Technologies in Biosystems, University of Novi Sad, Novi Sad, Serbia. mirjana.radulovic@biosense.rs.
Scientific data
|January 18, 2025
概括
研究人员开发了一套新的数据集,用于绘制灌田地图,这对粮食安全和水资源管理至关重要. 该资源有助于创建人工智能模型,使用卫星图像自动检测灌,克服数据收集的挑战.
科学领域:
- 农业科学 农业科学
- 遥感 遥感 遥感 遥感
- 数据科学数据科学数据科学
背景情况:
- 灌农业对于全球粮食安全和可持续生产至关重要.
- 精确地绘制灌田的地图,有助于水资源管理和保护.
- 收集用于灌测绘的高质量培训数据是昂贵的,需要大量劳动力.
研究的目的:
- 创建一个地理参考数据集,用于绘制灌田地图.
- 为AI模型开发提供必要的数据 (位置,作物类型,灌设备).
- 通过使用卫星图像来自动检测灌的田地.
主要方法:
- 编制了塞尔维亚沃伊沃迪纳省1256个农业土地的数据集.
- 收集关于作物类型 (玉米,大豆,甜菜,小麦) 和灌设备存在的数据.
- 专注于2020-2024年期间的时间相关性.
主要成果:
- 已经建立了一个全面的,地理引用的数据集,用于灌地图.
- 该数据集包括关键作物的位置,作物类型和灌设备的发生情况.
- 数据涵盖了五年 (2020-2024年) 跨越一个主要的农业地区.
结论:
- 创建的数据集解决了用于灌绘图的可访问,高质量的培训数据的需求.
- 该资源可用于构建和完善机器学习模型,用于自动化灌检测.
- 该数据集将通过改进的遥感应用程序推进可持续的水资源管理和农业实践.
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