Digital Innovations in Agriculture—Series II
The significantly increased world population and accelerated climate change are strongly affecting agricultural production. These aspects, as well as the latest socio-economic limitations caused by the standoff following the COVID-19 pandemic, are part of the ongoing economic crisis bringing new cha...
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| Formato: | Online |
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| Idioma: | inglês |
| Publicado em: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Acesso em linha: | ONIX_20250220_9783725825271_317 |
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| _version_ | 1869514237538205696 |
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| collection | Directory of Open Access Books |
| description | The significantly increased world population and accelerated climate change are strongly affecting agricultural production. These aspects, as well as the latest socio-economic limitations caused by the standoff following the COVID-19 pandemic, are part of the ongoing economic crisis bringing new challenges to modern agriculture and the need to have high production efficiency combined with high-quality products in accordance with the principles of sustainable production. These requirements are linked to all branches of agriculture: crop production, livestock production, and other links supporting the production of healthy food. To meet these challenges, advanced digital innovation techniques are more and more frequently being used, including those based on machine learning, artificial neural networks, Internet of Things (IoT), Big Data, and Digital Twins. They are widely applied in solving various optimization tasks in the agri-food production processes in the context of the increasing use of precision and digital farming technologies on the path from Agriculture 3.0 to 5.0. This Special Issue focused even more on the contribution of modern technology to the development and ongoing support of sustainable, regenerative, and balanced agriculture. The publications included original research, research concepts, communications, and reviews related to digital innovation, widely defined, in the agri-food sector. |
| format | Online |
| id | doab-20.500.12854ir-152953 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1529532025-02-20T13:20:17Z Digital Innovations in Agriculture—Series II Niedbała, Gniewko Kujawa, Sebastian Piekutowska, Magdalena Wojciechowski, Tomasz digital farming precision agriculture machine learning artificial neural networks Internet of Things (IoT) Big data image processing and analysis proximal and remote sensing data analysis and decision support agricultural information systems traceability thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes The significantly increased world population and accelerated climate change are strongly affecting agricultural production. These aspects, as well as the latest socio-economic limitations caused by the standoff following the COVID-19 pandemic, are part of the ongoing economic crisis bringing new challenges to modern agriculture and the need to have high production efficiency combined with high-quality products in accordance with the principles of sustainable production. These requirements are linked to all branches of agriculture: crop production, livestock production, and other links supporting the production of healthy food. To meet these challenges, advanced digital innovation techniques are more and more frequently being used, including those based on machine learning, artificial neural networks, Internet of Things (IoT), Big Data, and Digital Twins. They are widely applied in solving various optimization tasks in the agri-food production processes in the context of the increasing use of precision and digital farming technologies on the path from Agriculture 3.0 to 5.0. This Special Issue focused even more on the contribution of modern technology to the development and ongoing support of sustainable, regenerative, and balanced agriculture. The publications included original research, research concepts, communications, and reviews related to digital innovation, widely defined, in the agri-food sector. 2025-02-20T13:20:14Z 2025-02-20T13:20:14Z 2024 book ONIX_20250220_9783725825271_317 9783725825271 9783725825288 https://directory.doabooks.org/handle/20.500.12854/152953 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/10336 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-2528-8 10.3390/books978-3-7258-2528-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725825271 9783725825288 280 Basel open access |
| spellingShingle | digital farming precision agriculture machine learning artificial neural networks Internet of Things (IoT) Big data image processing and analysis proximal and remote sensing data analysis and decision support agricultural information systems traceability thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes Digital Innovations in Agriculture—Series II |
| title | Digital Innovations in Agriculture—Series II |
| title_full | Digital Innovations in Agriculture—Series II |
| title_fullStr | Digital Innovations in Agriculture—Series II |
| title_full_unstemmed | Digital Innovations in Agriculture—Series II |
| title_short | Digital Innovations in Agriculture—Series II |
| title_sort | digital innovations in agriculture mdash series ii |
| topic | digital farming precision agriculture machine learning artificial neural networks Internet of Things (IoT) Big data image processing and analysis proximal and remote sensing data analysis and decision support agricultural information systems traceability thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes |
| topic_facet | digital farming precision agriculture machine learning artificial neural networks Internet of Things (IoT) Big data image processing and analysis proximal and remote sensing data analysis and decision support agricultural information systems traceability thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes |
| url | ONIX_20250220_9783725825271_317 |