Istituto Nazionale di Fisica Nucleare, 20126 Milano, Italy.
Dipartimento di Informatica, Sistemistica e Comunicazione, Università Milano-Bicocca, 20126 Milano, Italy.
Sensors (Basel). 2023 Apr 7;23(8):3788. doi: 10.3390/s23083788.
Precision agriculture has emerged as a promising approach to improve crop productivity and reduce the environmental impact. However, effective decision making in precision agriculture relies on accurate and timely data acquisition, management, and analysis. The collection of multisource and heterogeneous data for soil characteristics estimation is a critical component of precision agriculture, as it provides insights into key factors, such as soil nutrient levels, moisture content, and texture. To address these challenges, this work proposes a software platform that facilitates the collection, visualization, management, and analysis of soil data. The platform is designed to handle data from various sources, including proximity, airborne, and spaceborne data, to enable precision agriculture. The proposed software allows for the integration of new data, including data that can be collected directly on-board the acquisition device, and it also allows for the incorporation of custom predictive systems for soil digital mapping. The usability experiments conducted on the proposed software platform demonstrate that it is easy to use and effective. Overall, this work highlights the importance of decision support systems in the field of precision agriculture and the potential benefits of using such systems for soil data management and analysis.
精准农业已成为提高作物产量和减少环境影响的一种有前途的方法。然而,精准农业中的有效决策依赖于准确和及时的数据采集、管理和分析。收集多源和异构数据以估计土壤特性是精准农业的一个关键组成部分,因为它提供了对关键因素的深入了解,例如土壤养分水平、含水量和质地。为了解决这些挑战,本工作提出了一个软件平台,用于方便土壤数据的收集、可视化、管理和分析。该平台旨在处理来自各种来源的数据,包括近地、航空和卫星数据,以实现精准农业。所提出的软件允许集成新的数据,包括可以直接在采集设备上收集的数据,并且还允许为土壤数字制图集成自定义预测系统。对所提出的软件平台进行的可用性实验表明,它易于使用且有效。总体而言,本工作强调了决策支持系统在精准农业领域的重要性,以及使用此类系统进行土壤数据管理和分析的潜在好处。