Digital Irrigated Agriculture: Towards a Framework for Comprehensive Analysis of Decision Processes under Uncertainty
Several studies address the topic of Information and Communication Technologies (ICT) adoption in irrigated agriculture. Many of these studies testify on the growing importance of ICT in influencing the evolution of the sector, especially by bringing down information barriers. While the potentialiti...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-10-01
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| Series: | Future Internet |
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| Online Access: | https://www.mdpi.com/1999-5903/12/11/181 |
| _version_ | 1827703499851300864 |
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| author | Francesco Cavazza Francesco Galioto Meri Raggi Davide Viaggi |
| author_facet | Francesco Cavazza Francesco Galioto Meri Raggi Davide Viaggi |
| author_sort | Francesco Cavazza |
| collection | DOAJ |
| description | Several studies address the topic of Information and Communication Technologies (ICT) adoption in irrigated agriculture. Many of these studies testify on the growing importance of ICT in influencing the evolution of the sector, especially by bringing down information barriers. While the potentialities of such technologies are widely investigated and confirmed, there is still a gap in understanding and modeling decisions on ICT information implementation. This gap concerns, in particular, accounting for all the aspects of uncertainty which are mainly due to a lack of knowledge on the reliability of ICT and on the errors of ICT-information. Overall, such uncertainties might affect Decision Makers’ (DM’s) behavior and hamper ICT uptake. To support policy makers in the designing of uncertainty-management policies for the achievement of the benefits of a digital irrigated agriculture, we further investigated the topic of uncertainty modelling in ICT uptake decisions. To do so, we reviewed the economic literature on ambiguity, in the context of the wider literature on decision making under uncertainty in order to explore its potential for better modeling ICT uptake decisions. Findings from the discussed literature confirm the capabilities of this approach to yield a deeper understanding of decision processes when the reliability of ICT is unknown and provides better insights on how behavioral barriers to the achievement of potential ICT-benefits can be overcome. Policy implications to accompany the sector in the digitalization process include mainly: (a) defining new approaches for ICT-developers to tailor platforms to answer heterogeneous DMs’ needs; (b) establish uncertainty-management policies complementary to DM tools adoption. |
| first_indexed | 2024-03-10T15:19:55Z |
| format | Article |
| id | doaj.art-9b2df7643715426686368d4fa5df6abc |
| institution | Directory Open Access Journal |
| issn | 1999-5903 |
| language | English |
| last_indexed | 2024-03-10T15:19:55Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Future Internet |
| spelling | doaj.art-9b2df7643715426686368d4fa5df6abc2023-11-20T18:34:05ZengMDPI AGFuture Internet1999-59032020-10-01121118110.3390/fi12110181Digital Irrigated Agriculture: Towards a Framework for Comprehensive Analysis of Decision Processes under UncertaintyFrancesco Cavazza0Francesco Galioto1Meri Raggi2Davide Viaggi3Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 50, 40127 Bologna, ItalyDepartment of Agricultural and Food Sciences, University of Bologna, Viale Fanin 50, 40127 Bologna, ItalyDepartment of Statistical Sciences, University of Bologna, Via delle Belle Arti 41, 40126 Bologna, ItalyDepartment of Agricultural and Food Sciences, University of Bologna, Viale Fanin 50, 40127 Bologna, ItalySeveral studies address the topic of Information and Communication Technologies (ICT) adoption in irrigated agriculture. Many of these studies testify on the growing importance of ICT in influencing the evolution of the sector, especially by bringing down information barriers. While the potentialities of such technologies are widely investigated and confirmed, there is still a gap in understanding and modeling decisions on ICT information implementation. This gap concerns, in particular, accounting for all the aspects of uncertainty which are mainly due to a lack of knowledge on the reliability of ICT and on the errors of ICT-information. Overall, such uncertainties might affect Decision Makers’ (DM’s) behavior and hamper ICT uptake. To support policy makers in the designing of uncertainty-management policies for the achievement of the benefits of a digital irrigated agriculture, we further investigated the topic of uncertainty modelling in ICT uptake decisions. To do so, we reviewed the economic literature on ambiguity, in the context of the wider literature on decision making under uncertainty in order to explore its potential for better modeling ICT uptake decisions. Findings from the discussed literature confirm the capabilities of this approach to yield a deeper understanding of decision processes when the reliability of ICT is unknown and provides better insights on how behavioral barriers to the achievement of potential ICT-benefits can be overcome. Policy implications to accompany the sector in the digitalization process include mainly: (a) defining new approaches for ICT-developers to tailor platforms to answer heterogeneous DMs’ needs; (b) establish uncertainty-management policies complementary to DM tools adoption.https://www.mdpi.com/1999-5903/12/11/181information and communication technologiesdigital irrigated agricultureartificial intelligenceambiguityrisk |
| spellingShingle | Francesco Cavazza Francesco Galioto Meri Raggi Davide Viaggi Digital Irrigated Agriculture: Towards a Framework for Comprehensive Analysis of Decision Processes under Uncertainty Future Internet information and communication technologies digital irrigated agriculture artificial intelligence ambiguity risk |
| title | Digital Irrigated Agriculture: Towards a Framework for Comprehensive Analysis of Decision Processes under Uncertainty |
| title_full | Digital Irrigated Agriculture: Towards a Framework for Comprehensive Analysis of Decision Processes under Uncertainty |
| title_fullStr | Digital Irrigated Agriculture: Towards a Framework for Comprehensive Analysis of Decision Processes under Uncertainty |
| title_full_unstemmed | Digital Irrigated Agriculture: Towards a Framework for Comprehensive Analysis of Decision Processes under Uncertainty |
| title_short | Digital Irrigated Agriculture: Towards a Framework for Comprehensive Analysis of Decision Processes under Uncertainty |
| title_sort | digital irrigated agriculture towards a framework for comprehensive analysis of decision processes under uncertainty |
| topic | information and communication technologies digital irrigated agriculture artificial intelligence ambiguity risk |
| url | https://www.mdpi.com/1999-5903/12/11/181 |
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