PDF(Pubmed)
Abstract：
Assessing the quality of land is a very important step that precedes the planning of land use and taking management decisions; for example, in the agricultural field, it can be used to evaluate the suitability of the land for planting crops, determine the suitable irrigation system type, or adjust the agricultural inputs such as fertilizers and pesticides according to the requirements of each zone in the land. The spatial-temporal dynamic nature of land characteristics entails also updated evaluation process and updated management plan. The present paper tries to exploit the advances in information and communication technologies to develop a conceptual design of a dynamic system that accommodates the spatial-temporal dynamics of the agricultural soil characteristics to realize a land suitability assessment (LSA) based on a factor analysis method. The proposed design combines IoT technologies, web development, database, and digital mapping and tries to consolidate the system with other functionalities useful for decision support and suitable for different cases. The paper conducted a survey and made comparisons to select the best technologies that fit the current use case implementation and presents its reproducible conceptual modeling by developing the static and dynamic views through schemas, diagrams, message sequence charts, IoT messaging topic tree, pseudocode, etc. The functionality of the design was validated with a simple implementation of the system model. To our knowledge, there is no previous significant contribution that has addressed a LSA IoT use case. The proposed design automates the LSA process for more accurate decision-making, saving cost, time, and effort consumed in repeated field trips. It is characterized by flexibility and centralization in its offered services of spatial analysis, detection, visualizations, and status monitoring. The design also allows for remote control of field machinery.
摘要：
评估土地质量是土地利用规划和管理决策之前非常重要的一步；例如，在农业领域，它可以用来评估土地种植作物的适宜性，确定合适的灌溉系统类型，或根据土地上每个区域的要求调整化肥和农药等农业投入。土地特征的时空动态性质还需要更新的评估过程和更新的管理计划。本文试图利用信息和通信技术的进步来开发动态系统的概念设计，该系统适应农业土壤特征的时空动态，以实现基于因子分析的土地适宜性评估（LSA）方法。拟议的设计结合了物联网技术，web开发,数据库,和数字制图，并试图将该系统与其他对决策支持有用并适用于不同情况的功能合并在一起。本文进行了调查并进行了比较，以选择适合当前用例实现的最佳技术，并通过通过模式开发静态和动态视图来提出其可重复的概念建模，图表，消息序列图,IoT消息传递主题树,伪代码,等。通过系统模型的简单实现，验证了设计的功能。据我们所知,以前没有针对LSAIoT用例的重大贡献。拟议的设计使LSA过程自动化，以实现更准确的决策，节约成本,时间,在反复的实地考察中消耗的精力。它的特点是空间分析服务的灵活性和集中性，检测,可视化，和状态监测。该设计还允许远程控制现场机械。
