An Open-Source Platform for GIS Data Management and Analytics
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 heteroge...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/23/8/3788 |
| _version_ | 1797603557034164224 |
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| author | Flavio Piccoli Simone Giuseppe Locatelli Raimondo Schettini Paolo Napoletano |
| author_facet | Flavio Piccoli Simone Giuseppe Locatelli Raimondo Schettini Paolo Napoletano |
| author_sort | Flavio Piccoli |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T04:33:44Z |
| format | Article |
| id | doaj.art-21764bf326ae49c799bb26a46e84f339 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T04:33:44Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-21764bf326ae49c799bb26a46e84f3392023-11-17T21:14:35ZengMDPI AGSensors1424-82202023-04-01238378810.3390/s23083788An Open-Source Platform for GIS Data Management and AnalyticsFlavio Piccoli0Simone Giuseppe Locatelli1Raimondo Schettini2Paolo Napoletano3Istituto Nazionale di Fisica Nucleare, 20126 Milano, ItalyDipartimento di Informatica, Sistemistica e Comunicazione, Università Milano-Bicocca, 20126 Milano, ItalyDipartimento di Informatica, Sistemistica e Comunicazione, Università Milano-Bicocca, 20126 Milano, ItalyDipartimento di Informatica, Sistemistica e Comunicazione, Università Milano-Bicocca, 20126 Milano, ItalyPrecision 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.https://www.mdpi.com/1424-8220/23/8/3788Geographical Information Systemsremote sensingmultisource integrationsoil characteristics estimationprecision agriculture |
| spellingShingle | Flavio Piccoli Simone Giuseppe Locatelli Raimondo Schettini Paolo Napoletano An Open-Source Platform for GIS Data Management and Analytics Sensors Geographical Information Systems remote sensing multisource integration soil characteristics estimation precision agriculture |
| title | An Open-Source Platform for GIS Data Management and Analytics |
| title_full | An Open-Source Platform for GIS Data Management and Analytics |
| title_fullStr | An Open-Source Platform for GIS Data Management and Analytics |
| title_full_unstemmed | An Open-Source Platform for GIS Data Management and Analytics |
| title_short | An Open-Source Platform for GIS Data Management and Analytics |
| title_sort | open source platform for gis data management and analytics |
| topic | Geographical Information Systems remote sensing multisource integration soil characteristics estimation precision agriculture |
| url | https://www.mdpi.com/1424-8220/23/8/3788 |
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