Cyberinformatics tool for in-season crop-specific land cover monitoring: Design, implementation, and applications of iCrop
Cyberinformatics tool for in-season crop-specific land cover monitoring: Design, implementation, and applications of iCrop
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DOI：
10.1016/j.compag.2023.108199
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发表时间：
2023-10
期刊：
影响因子：
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通讯作者：
Chen Zhang;Liping Di;Li Lin;Haoteng Zhao;Hui Li;Anna Yang;Liying Guo;Zhengwei Yang
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作者：
Chen Zhang;Liping Di;Li Lin;Haoteng Zhao;Hui Li;Anna Yang;Liying Guo;Zhengwei Yang
网络信息学工具通过尖端的大数据、人工智能/机器学习（AI/ML）和高性能计算技术支持农业决策。基于可查找、可访问、可互操作、可重复使用（FAIR）数据原则的开放和易于使用的农业网络信息学工具对于有效分发特定作物的土地覆盖信息至关重要。本文介绍了iCrop，一个新的网络信息学工具，使在季节作物类型监测的美国本土（CONUS）。作为一个基于网络的地理信息系统（GIS），iCrop不仅提供了三套新的基于ML的田间作物特定土地覆盖地理空间数据，包括季前作物覆盖图，季内作物覆盖图和精细农田数据层（R-CDL），而且还通过FAIR地理空间数据标准提供了一套制图和查询功能，如Web地图服务（WMS），Web覆盖服务（WCS）和Web处理服务（WPS）。同时，我们概述了几个用例，以突出iCrop在各种农业操作场景下的应用，其土地利用变化分析功能，以及其与通用基于网络和桌面GIS软件的互操作性（例如，GeoPlatform和QGIS）。我们的实验结果表明，新的网络信息学工具可以提供及时和独特的农作物特定的土地覆盖信息，通过网络功能，以促进美国农业信息管理和决策支持。此外，本文还可以为基于FAIR数据原则的农业地理信息传播网络信息工具的设计和实现提供系统的指导。
Cyberinformatics tools have supported decision makings in agriculture through cutting-edge big data, artificial intelligence/machine learning (AI/ML), and high-performance computing technologies. An open and easy-to-use agricultural cyberinformatics tool based on the findable, accessible, interoperable, reusable (FAIR) data principle is essential for the efficient distribution of crop-specific land cover information. This paper introduces iCrop, a new cyberinformatics tool to enable in-season crop type monitoring for the Conterminous United States (CONUS). As a web-based geographic information system (GIS), iCrop not only delivers three sets of new ML-based field-level crop-specific land cover geospatial data, including pre-season crop cover maps, in-season crop cover maps, and Refined Cropland Data Layer (R-CDL), but also provides a suite of mapping and geoprocessing functionalities through the FAIR geospatial data standards, such as Web Map Service (WMS), Web Coverage Service (WCS), and Web Processing Service (WPS). Meanwhile, we outline several use cases to highlight iCrop's applications under various agricultural operation scenarios, its functionality for land use change analysis, and its interoperability with generic web-based and desktop GIS software (e.g., GeoPlatform and QGIS). Our experimental results show that the new cyberinformatics tool can provide timely and unique crop-specific land cover information through the geoprocessing functionalities to facilitate U.S. agricultural information management and decision support. Moreover, this paper can be used as a systematic guidance for the design and implementation of the cyberinformatics tool to disseminate agro-geoinformation based on the FAIR data principle.