New developments and opportunities for AI in viticulture, pomology, and soft-fruit research: a mini-review and invitation to contribute articles
Climate change constraints on horticultural production and emerging consumer requirements for fresh and processed horticultural products with an increased number of quality traits have pressured the industry to increase the efficiency, sustainability, productivity, and quality of horticultural produ...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-10-01
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| Series: | Frontiers in Horticulture |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fhort.2023.1282615/full |
| _version_ | 1797662060482396160 |
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| author | Sigfredo Fuentes Sigfredo Fuentes Eden Tongson Claudia Gonzalez Viejo |
| author_facet | Sigfredo Fuentes Sigfredo Fuentes Eden Tongson Claudia Gonzalez Viejo |
| author_sort | Sigfredo Fuentes |
| collection | DOAJ |
| description | Climate change constraints on horticultural production and emerging consumer requirements for fresh and processed horticultural products with an increased number of quality traits have pressured the industry to increase the efficiency, sustainability, productivity, and quality of horticultural products. The implementation of Agriculture 4.0 using new and emerging digital technologies has increased the amount of data available from the soil–plant–atmosphere continuum to support decision-making in these agrosystems. However, to date, there has not been a unified effort to work with these novel digital technologies and gather data for precision farming. In general, artificial intelligence (AI), including machine/deep learning for data modeling, is considered the best approach for analyzing big data within the horticulture and agrifood sectors. Hence, the terms Agriculture/AgriFood 5.0 are starting to be used to identify the integration of digital technologies from precision agriculture and data handling and analysis using AI for automation. This mini-review focuses on the latest published work with a soil–plant–atmosphere approach, especially those published works implementing AI technologies and modeling strategies. |
| first_indexed | 2024-03-11T18:54:39Z |
| format | Article |
| id | doaj.art-7454ea11bece4e34a408c3777ab6d186 |
| institution | Directory Open Access Journal |
| issn | 2813-3595 |
| language | English |
| last_indexed | 2024-03-11T18:54:39Z |
| publishDate | 2023-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Horticulture |
| spelling | doaj.art-7454ea11bece4e34a408c3777ab6d1862023-10-11T07:09:13ZengFrontiers Media S.A.Frontiers in Horticulture2813-35952023-10-01210.3389/fhort.2023.12826151282615New developments and opportunities for AI in viticulture, pomology, and soft-fruit research: a mini-review and invitation to contribute articlesSigfredo Fuentes0Sigfredo Fuentes1Eden Tongson2Claudia Gonzalez Viejo3Digital Agriculture, Food and Wine Research Group, School of Agriculture, Food and Ecosystem Sciences, Faculty of Science, The University of Melbourne, Melbourne, VIC, AustraliaTecnologico de Monterrey, School of Engineering and Sciences, Monterrey, MexicoDigital Agriculture, Food and Wine Research Group, School of Agriculture, Food and Ecosystem Sciences, Faculty of Science, The University of Melbourne, Melbourne, VIC, AustraliaDigital Agriculture, Food and Wine Research Group, School of Agriculture, Food and Ecosystem Sciences, Faculty of Science, The University of Melbourne, Melbourne, VIC, AustraliaClimate change constraints on horticultural production and emerging consumer requirements for fresh and processed horticultural products with an increased number of quality traits have pressured the industry to increase the efficiency, sustainability, productivity, and quality of horticultural products. The implementation of Agriculture 4.0 using new and emerging digital technologies has increased the amount of data available from the soil–plant–atmosphere continuum to support decision-making in these agrosystems. However, to date, there has not been a unified effort to work with these novel digital technologies and gather data for precision farming. In general, artificial intelligence (AI), including machine/deep learning for data modeling, is considered the best approach for analyzing big data within the horticulture and agrifood sectors. Hence, the terms Agriculture/AgriFood 5.0 are starting to be used to identify the integration of digital technologies from precision agriculture and data handling and analysis using AI for automation. This mini-review focuses on the latest published work with a soil–plant–atmosphere approach, especially those published works implementing AI technologies and modeling strategies.https://www.frontiersin.org/articles/10.3389/fhort.2023.1282615/fullclimate changeAgriculture 5.0digital agricultureremote sensingmachine/deep learning |
| spellingShingle | Sigfredo Fuentes Sigfredo Fuentes Eden Tongson Claudia Gonzalez Viejo New developments and opportunities for AI in viticulture, pomology, and soft-fruit research: a mini-review and invitation to contribute articles Frontiers in Horticulture climate change Agriculture 5.0 digital agriculture remote sensing machine/deep learning |
| title | New developments and opportunities for AI in viticulture, pomology, and soft-fruit research: a mini-review and invitation to contribute articles |
| title_full | New developments and opportunities for AI in viticulture, pomology, and soft-fruit research: a mini-review and invitation to contribute articles |
| title_fullStr | New developments and opportunities for AI in viticulture, pomology, and soft-fruit research: a mini-review and invitation to contribute articles |
| title_full_unstemmed | New developments and opportunities for AI in viticulture, pomology, and soft-fruit research: a mini-review and invitation to contribute articles |
| title_short | New developments and opportunities for AI in viticulture, pomology, and soft-fruit research: a mini-review and invitation to contribute articles |
| title_sort | new developments and opportunities for ai in viticulture pomology and soft fruit research a mini review and invitation to contribute articles |
| topic | climate change Agriculture 5.0 digital agriculture remote sensing machine/deep learning |
| url | https://www.frontiersin.org/articles/10.3389/fhort.2023.1282615/full |
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