A concept for application of integrated digital technologies to enhance future smart agricultural systems
Future agricultural systems should increase productivity and sustainability of food production and supply. For this, integrated and efficient capture, management, sharing, and use of agricultural and environmental data from multiple sources is essential. However, there are challenges to understand a...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-10-01
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| Series: | Smart Agricultural Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375523000850 |
| _version_ | 1827943850006544384 |
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| author | Girma Gebresenbet Techane Bosona David Patterson Henrik Persson Benjamin Fischer Nerea Mandaluniz Gherardo Chirici Aleksejs Zacepins Vitalijs Komasilovs Tudor Pitulac Abozar Nasirahmadi |
| author_facet | Girma Gebresenbet Techane Bosona David Patterson Henrik Persson Benjamin Fischer Nerea Mandaluniz Gherardo Chirici Aleksejs Zacepins Vitalijs Komasilovs Tudor Pitulac Abozar Nasirahmadi |
| author_sort | Girma Gebresenbet |
| collection | DOAJ |
| description | Future agricultural systems should increase productivity and sustainability of food production and supply. For this, integrated and efficient capture, management, sharing, and use of agricultural and environmental data from multiple sources is essential. However, there are challenges to understand and efficiently use different types of agricultural and environmental data from multiple sources, which differ in format and time interval. In this regard, the role of emerging technologies is considered to be significant for integrated data gathering, analyses and efficient use. In this study, a concept was developed to facilitate the full integration of digital technologies to enhance future smart and sustainable agricultural systems. The concept has been developed based on the results of a literature review and diverse experiences and expertise which enabled the identification of stat-of-the-art smart technologies, challenges and knowledge gaps. The features of the proposed solution include: data collection methodologies using smart digital tools; platforms for data handling and sharing; application of Artificial Intelligent for data integration and analysis; edge and cloud computing; application of Blockchain, decision support system; and a governance and data security system. The study identified the potential positive implications i.e. the implementation of the concept could increase data value, farm productivity, effectiveness in monitoring of farm operations and decision making, and provide innovative farm business models. The concept could contribute to an overall increase in the competitiveness, sustainability, and resilience of the agricultural sector as well as digital transformation in agriculture and rural areas. This study also provided future research direction in relation to the proposed concept. The results will benefit researchers, practitioners, developers of smart tools, and policy makers supporting the transition to smarter and more sustainable agriculture systems. |
| first_indexed | 2024-03-13T10:21:34Z |
| format | Article |
| id | doaj.art-273d00abe4f54997b036cdce939485bf |
| institution | Directory Open Access Journal |
| issn | 2772-3755 |
| language | English |
| last_indexed | 2024-03-13T10:21:34Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Smart Agricultural Technology |
| spelling | doaj.art-273d00abe4f54997b036cdce939485bf2023-05-20T04:31:04ZengElsevierSmart Agricultural Technology2772-37552023-10-015100255A concept for application of integrated digital technologies to enhance future smart agricultural systemsGirma Gebresenbet0Techane Bosona1David Patterson2Henrik Persson3Benjamin Fischer4Nerea Mandaluniz5Gherardo Chirici6Aleksejs Zacepins7Vitalijs Komasilovs8Tudor Pitulac9Abozar Nasirahmadi10Department of Energy and Technology, Swedish University of Agricultural Sciences, Box 7032, Uppsala 750 07, SwedenDepartment of Energy and Technology, Swedish University of Agricultural Sciences, Box 7032, Uppsala 750 07, Sweden; Corresponding author.Agri-Food and Biosciences Institute, Belfast, Northern Ireland BT9 5PX United KingdomDepartment of Forest Resource Management, Swedish University of Agricultural Sciences, Umeå 90183, SwedenDepartment of Earth Sciences, Uppsala University, Uppsala, SwedenNEIKER-Basque Institute for Agricultural Research and Development, Basque Research and Technology Alliance (BRTA), N-104 in km 355, Arkaute, E-01192, SpainUniversità degli Studi di Firenze, Via San Bonaventura 13, Firenze 50145, ItalyDepartment of Computer Systems, Faculty of Information Technologies, Latvia University of Life Sciences and Technologies, Liela iela 2, Jelgava LV-3001, LatviaDepartment of Computer Systems, Faculty of Information Technologies, Latvia University of Life Sciences and Technologies, Liela iela 2, Jelgava LV-3001, LatviaTudor Pitulac, OpenSky Data Systems Ltd, Research Projects Division, Eircode, Naas, Co Kildare W91 W0D0, IrelandDepartment of Agricultural and Biosystems Engineering, University of Kassel, Witzenhausen D-37213, GermanyFuture agricultural systems should increase productivity and sustainability of food production and supply. For this, integrated and efficient capture, management, sharing, and use of agricultural and environmental data from multiple sources is essential. However, there are challenges to understand and efficiently use different types of agricultural and environmental data from multiple sources, which differ in format and time interval. In this regard, the role of emerging technologies is considered to be significant for integrated data gathering, analyses and efficient use. In this study, a concept was developed to facilitate the full integration of digital technologies to enhance future smart and sustainable agricultural systems. The concept has been developed based on the results of a literature review and diverse experiences and expertise which enabled the identification of stat-of-the-art smart technologies, challenges and knowledge gaps. The features of the proposed solution include: data collection methodologies using smart digital tools; platforms for data handling and sharing; application of Artificial Intelligent for data integration and analysis; edge and cloud computing; application of Blockchain, decision support system; and a governance and data security system. The study identified the potential positive implications i.e. the implementation of the concept could increase data value, farm productivity, effectiveness in monitoring of farm operations and decision making, and provide innovative farm business models. The concept could contribute to an overall increase in the competitiveness, sustainability, and resilience of the agricultural sector as well as digital transformation in agriculture and rural areas. This study also provided future research direction in relation to the proposed concept. The results will benefit researchers, practitioners, developers of smart tools, and policy makers supporting the transition to smarter and more sustainable agriculture systems.http://www.sciencedirect.com/science/article/pii/S2772375523000850Smart agricultureArtificial IntelligenceInternet of ThingsBlockchainDecision support systemAgricultural data integration |
| spellingShingle | Girma Gebresenbet Techane Bosona David Patterson Henrik Persson Benjamin Fischer Nerea Mandaluniz Gherardo Chirici Aleksejs Zacepins Vitalijs Komasilovs Tudor Pitulac Abozar Nasirahmadi A concept for application of integrated digital technologies to enhance future smart agricultural systems Smart Agricultural Technology Smart agriculture Artificial Intelligence Internet of Things Blockchain Decision support system Agricultural data integration |
| title | A concept for application of integrated digital technologies to enhance future smart agricultural systems |
| title_full | A concept for application of integrated digital technologies to enhance future smart agricultural systems |
| title_fullStr | A concept for application of integrated digital technologies to enhance future smart agricultural systems |
| title_full_unstemmed | A concept for application of integrated digital technologies to enhance future smart agricultural systems |
| title_short | A concept for application of integrated digital technologies to enhance future smart agricultural systems |
| title_sort | concept for application of integrated digital technologies to enhance future smart agricultural systems |
| topic | Smart agriculture Artificial Intelligence Internet of Things Blockchain Decision support system Agricultural data integration |
| url | http://www.sciencedirect.com/science/article/pii/S2772375523000850 |
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