利用物联网(IoT)传感器监测灌溉管理中的土壤元素

Loubna Bouhachlaf, Oumayma Benslimane, Souad El Hajjaji
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摘要

智能农业关注三个关键领域:土壤质量、天气条件和作物健康。由于天气和灌溉因素的重大影响,许多智能农业解决方案与智能环境和智能水(污染、浑浊、营养)系统紧密集成,以实现整体方法。物联网(IoT)正在彻底改变土壤监测,为农民和种植者提供优化产量、减少疾病风险和合理利用资源的手段。借助物联网传感器,可以测量土壤温度、NPK(氮、磷、钾)水平和土壤湿度等各种参数。这些物联网传感器收集的信息随后被传输到中心点或存储在云服务器中,用于深入分析、可视化表示和趋势识别。物联网在农业中的应用被广泛称为智能农业。物联网是精准农业的重要支柱,可以实现更有针对性和更有效的资源管理。智能传感器系统提供更多关于水和作物需水量的信息。这些信息可用于机械管理供水系统,并帮助农民优化灌溉系统。第一传感器获取的信息被传输到云服务器。本文提出并评估了遥感系统的概念。选择了三个站点来测试物联网系统。在每个地点,使用了五个专门设计用于土壤和灌溉水分析的传感器。专用于土壤pH值,湿度和NPK的传感器显示出值得称赞的准确性;同样,灌溉水pH和浊度传感器的测量结果也非常精确。结果值得注意,在所有传感器测量中r2值超过90%。这些物联网传感器可以在不过度支出的情况下促进有效的作物监测,并有助于保护地下水免受营养污染。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monitoring soil elements for irrigation management using Internet of Things (IoT) sensors
Abstract Smart farming focuses on three crucial areas: soil quality, weather conditions, and crop health. Because of the significant impact of weather and irrigation factors, many smart farming solutions are tightly integrated with smart environment and smart water (pollution, turbidity, nutrients) systems for a holistic approach. The Internet of Things (IoT) is revolutionizing soil monitoring, giving farmers and growers the means to optimize yields, minimize disease risks, and rationalize resource use. Thanks to IoT sensors, it is possible to measure various parameters such as soil temperature, NPK (nitrogen, phosphorus, potassium) levels, and soil moisture. The information collected by these IoT sensors is then transmitted to a central point or stored in the cloud server for in‐depth analysis, visual representation, and trend identification. The application of the IoT in agriculture is widely referred to as smart farming. The IoT is an essential pillar of precision agriculture, enabling more targeted and efficient management of resources. Smart sensor systems provide more information about water and crop water requirements. This information can be used to mechanically manage the water supply system and help farmers optimize their irrigation system. The information acquired by the first sensors is transferred to the cloud server. This article proposes and evaluates the concept of remote sensing systems. Three sites were selected to test the IoT system. At each site, five sensors were employed, specifically designed for soil and irrigation water analysis. The sensors dedicated to soil pH, moisture, and NPK demonstrated commendable accuracy; equally, the irrigation water pH and turbidity sensors exhibited notably precise measurements. The results were noteworthy, with an R 2 value surpassing 90% across all sensor measurements. These IoT sensors could facilitate effective crop monitoring without excessive expenditures and serve to safeguard groundwater from nutrient contamination.
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