Data Lifecycle Management in Precision Agriculture Supported by Information and Communication Technology
The role of agriculture in environmental degradation and climate change has been at the center of a long-lasting and controversial debate. This situation combined with the expected growth in crop demand and the increasing prices of fertilizers and pesticides has made the need for a more resource-eff...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-10-01
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| Series: | Agronomy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4395/10/11/1648 |
| _version_ | 1827703469165772800 |
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| author | Konstantinos Demestichas Emmanouil Daskalakis |
| author_facet | Konstantinos Demestichas Emmanouil Daskalakis |
| author_sort | Konstantinos Demestichas |
| collection | DOAJ |
| description | The role of agriculture in environmental degradation and climate change has been at the center of a long-lasting and controversial debate. This situation combined with the expected growth in crop demand and the increasing prices of fertilizers and pesticides has made the need for a more resource-efficient and environmentally sustainable agriculture more evident than ever. Precision agriculture (PA), as a relatively new farming management concept, aims to improve crop performance as well as to reduce the environmental footprint by utilizing information about the temporal and the spatial variability of crops. Information and communication technology (ICT) systems have influenced and shaped every part of modern life, and PA is no exception. The current paper conducts a literature review of prominent ICT solutions, focusing on their role in supporting different phases of the lifecycle of PA-related data. In addition to this, a data lifecycle model was developed as part of a novel categorization approach for the analyzed solutions. |
| first_indexed | 2024-03-10T15:19:34Z |
| format | Article |
| id | doaj.art-327b9421bd27484cb0885e81d7a76228 |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-10T15:19:34Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-327b9421bd27484cb0885e81d7a762282023-11-20T18:33:55ZengMDPI AGAgronomy2073-43952020-10-011011164810.3390/agronomy10111648Data Lifecycle Management in Precision Agriculture Supported by Information and Communication TechnologyKonstantinos Demestichas0Emmanouil Daskalakis1Institute of Communication and Computer Systems, School of Electrical and Computer Engineering, National Technical University of Athens, 15773 Athens, GreeceInstitute of Communication and Computer Systems, School of Electrical and Computer Engineering, National Technical University of Athens, 15773 Athens, GreeceThe role of agriculture in environmental degradation and climate change has been at the center of a long-lasting and controversial debate. This situation combined with the expected growth in crop demand and the increasing prices of fertilizers and pesticides has made the need for a more resource-efficient and environmentally sustainable agriculture more evident than ever. Precision agriculture (PA), as a relatively new farming management concept, aims to improve crop performance as well as to reduce the environmental footprint by utilizing information about the temporal and the spatial variability of crops. Information and communication technology (ICT) systems have influenced and shaped every part of modern life, and PA is no exception. The current paper conducts a literature review of prominent ICT solutions, focusing on their role in supporting different phases of the lifecycle of PA-related data. In addition to this, a data lifecycle model was developed as part of a novel categorization approach for the analyzed solutions.https://www.mdpi.com/2073-4395/10/11/1648precision agricultureinternet of thingsbig datadata analyticsblockchainartificial intelligence |
| spellingShingle | Konstantinos Demestichas Emmanouil Daskalakis Data Lifecycle Management in Precision Agriculture Supported by Information and Communication Technology Agronomy precision agriculture internet of things big data data analytics blockchain artificial intelligence |
| title | Data Lifecycle Management in Precision Agriculture Supported by Information and Communication Technology |
| title_full | Data Lifecycle Management in Precision Agriculture Supported by Information and Communication Technology |
| title_fullStr | Data Lifecycle Management in Precision Agriculture Supported by Information and Communication Technology |
| title_full_unstemmed | Data Lifecycle Management in Precision Agriculture Supported by Information and Communication Technology |
| title_short | Data Lifecycle Management in Precision Agriculture Supported by Information and Communication Technology |
| title_sort | data lifecycle management in precision agriculture supported by information and communication technology |
| topic | precision agriculture internet of things big data data analytics blockchain artificial intelligence |
| url | https://www.mdpi.com/2073-4395/10/11/1648 |
| work_keys_str_mv | AT konstantinosdemestichas datalifecyclemanagementinprecisionagriculturesupportedbyinformationandcommunicationtechnology AT emmanouildaskalakis datalifecyclemanagementinprecisionagriculturesupportedbyinformationandcommunicationtechnology |