AUGEIAS项目作物灌溉预测机制的开放气象数据评价

计算机工程与设计 Pub Date : 2022-09-23 DOI:10.1109/SEEDA-CECNSM57760.2022.9932913

Thomai Karamitsou, Dimitrios Seventekidis, Christos Karapiperis, Konstantina Banti, Ioanna Karampelia, Thomas S. Kyriakidis, M. Louta

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引用次数: 0

摘要

由于用水需求的增加，处理过的废水回用对水资源的有效和可持续管理越来越重要。基于上述动机，AUGEIAS提出了一种物联网(IoT)方法，用于精准农业中清洁和处理过的废水的使用。在这种情况下，污水处理厂和农田的实时测量与开放数据相关联，以改进作物需水量预测机制。本文介绍了所使用的开放天气源，并对其可靠性进行了评估。在评估开放数据后，将其与物联网传感器/设备收集的数据集成。通过使用平均绝对百分比误差度量，我们评估了开放天气源的预报性能。根据我们的研究，OpenWeatherMap的预报数据被证明更加准确，准确率为83.3%。

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Open weather data evaluation for crop irrigation prediction mechanisms in the AUGEIAS project

Treated wastewater reuse is increasingly important for efficient and sustainable management of water resources due to increased water demands. Motivated by the above, AUGEIAS proposes an Internet of Things (IoT) approach for clean and treated wastewater usage in precision agriculture. In this context, real-time measurements for wastewater treatment plant and field are correlated with open data to improve crop water needs prediction mechanisms. This paper presents the open weather sources that are used and evaluates their reliability. After the open data is evaluated, it is integrated with the data collected by IoT sensors/devices. By using the mean absolute percentage error metric, we evaluate the forecasting performance of open weather sources. According to our study, OpenWeatherMap’s forecast data proved more accurate, with a success rate at 83.3%.

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来源期刊

计算机工程与设计

自引率

0.00%

发文量

20353

期刊介绍： Computer Engineering and Design is supervised by China Aerospace Science and Industry Corporation and sponsored by the 706th Institute of the Second Academy of China Aerospace Science and Industry Corporation. It was founded in 1980. The purpose of the journal is to disseminate new technologies and promote academic exchanges. Since its inception, it has adhered to the principle of combining depth and breadth, theory and application, and focused on reporting cutting-edge and hot computer technologies. The journal accepts academic papers with innovative and independent academic insights, including papers on fund projects, award-winning research papers, outstanding papers at academic conferences, doctoral and master's theses, etc.