面向精准农业应用的开放数据源分析

Pavle Skocir, Katarina Mandaric, I. Kralj, Ivana Podnar Žarko, G. Jezic
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引用次数: 0

摘要

精准农业使用新技术来提高作物产量,增加农民的盈利能力,同时减少种植作物所需的投入,如土地、水、肥料、农药等。需要环境小气候数据(例如空气和土壤温度或湿度)作为精准农业应用的投入,以便在田间应用适当的决策和农业技术措施。大多数用于环境和作物监测的现有精准农业解决方案都使用本地部署的传感器作为主要数据源。由于在现场部署和维护物理传感器可能涉及大量成本和人力,因此开放获取数据源可能是对部署传感器的环境数据的有效补充,但问题仍然是开放获取数据源在准确性方面是否与本地部署的传感器相当。本文分析了哥白尼ERA5-Land和Agri4Cast数据集提供的开放环境数据源与当地部署的传感器收集的数据之间的相关性,以确定开放数据源在精准农业中的应用程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Open Access Data Sources for Application in Precision Agriculture
Precision agriculture uses new technologies to improve crop yields and increase profitability for farmers while reducing the inputs required to grow crops, such as land, water, fertilizers, pesticides, etc. Environmental microclimate data (e.g., air and soil temperature or moisture) are needed as inputs to precision agriculture applications so that adequate decisions and agrotechnical measures can be applied in the fields. Most of the existing precision agriculture solutions for environmental and crop monitoring use locally deployed sensors as the main data source. Since the deployment and maintenance of physical sensors in the fields potentially involves significant costs and human effort, open-access data sources may be an effective complement to environmental data from deployed sensors, but the question remains whether open-access data sources are comparable to locally deployed sensors in terms of accuracy. This paper analyzes the correlation between open environmental data sources provided by the Copernicus ERA5-Land and Agri4Cast data sets, and data collected by locally deployed sensors to determine the extent to which open data sources can be used in precision agriculture.
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