Computational, AI and IT Solutions Helping Agriculture
This Special Issue was a natural continuation of our previous Special Issue, titled “Internet and Computers for Agriculture”; this one extended further, covering recent and current progress in the application of computational solutions, artificial intelligence (AI), and information technologies (IT)...
Збережено в:
| Формат: | Online |
|---|---|
| Мова: | Англійська |
| Опубліковано: |
MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Предмети: | |
| Онлайн доступ: | ONIX_20260416T142754_9783725852895_39 |
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| _version_ | 1869527549947674624 |
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| collection | Directory of Open Access Books |
| description | This Special Issue was a natural continuation of our previous Special Issue, titled “Internet and Computers for Agriculture”; this one extended further, covering recent and current progress in the application of computational solutions, artificial intelligence (AI), and information technologies (IT) in modern agriculture. Currently, rapid changes are taking place at a planetary scale, including human population growth and global climatic and ecological changes, resulting in a call for immediate sustainable and secure smart solutions for food production, water supply, greenhouse (GHG) gas emissions, and environmental health. This Special Issue provided a stage for the innovative research of scientists and entrepreneurs involved in the development and application of various software products, and digital solutions for agriculture, agroecosystems, and natural ecosystems with applications in agriculture, to be presented. The submission of original articles and reviews involved mobile apps, web applications, internet platforms, Internet of Things (IoT) devices, cloud technologies, AI and machine learning (ML) methods, and applications for precision agriculture, monitoring, cultivation, harvesting, marketing, management, decision making, weather forecasting, optimization, natural language processing, computer/machine vision, drones, real-time detection systems, sensors for field operations, smart agriculture machinery, diagnostics, species and disease recognition, big data collection, scientific-process-based mathematical modeling, and machine learning modeling, which can contribute to modern agriculture now and in the future. |
| format | Online |
| id | doab-20.500.12854ir-174734 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1747342026-04-16T16:07:30Z Computational, AI and IT Solutions Helping Agriculture Dimitrov, Dimitre Precision agriculture Agriculture 4.0 Agriculture 5.0 Global change Sustainable and secure food resources Artificial intelligence (AI) Machine learning (ML) Deep learning (DL) Internet of things (IoT) Cloud computing Edge computing Smart devices Smart solutions Convolutional neural networks (CNN) Classification Object detection Computer vision Machine vision Machine diagnostics Web applications Mobile apps thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries This Special Issue was a natural continuation of our previous Special Issue, titled “Internet and Computers for Agriculture”; this one extended further, covering recent and current progress in the application of computational solutions, artificial intelligence (AI), and information technologies (IT) in modern agriculture. Currently, rapid changes are taking place at a planetary scale, including human population growth and global climatic and ecological changes, resulting in a call for immediate sustainable and secure smart solutions for food production, water supply, greenhouse (GHG) gas emissions, and environmental health. This Special Issue provided a stage for the innovative research of scientists and entrepreneurs involved in the development and application of various software products, and digital solutions for agriculture, agroecosystems, and natural ecosystems with applications in agriculture, to be presented. The submission of original articles and reviews involved mobile apps, web applications, internet platforms, Internet of Things (IoT) devices, cloud technologies, AI and machine learning (ML) methods, and applications for precision agriculture, monitoring, cultivation, harvesting, marketing, management, decision making, weather forecasting, optimization, natural language processing, computer/machine vision, drones, real-time detection systems, sensors for field operations, smart agriculture machinery, diagnostics, species and disease recognition, big data collection, scientific-process-based mathematical modeling, and machine learning modeling, which can contribute to modern agriculture now and in the future. 2026-04-16T16:07:23Z 2026-04-16T16:07:23Z 2025 book ONIX_20260416T142754_9783725852895_39 9783725852895 9783725852901 https://directory.doabooks.org/handle/20.500.12854/174734 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/11609 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-5290-1 10.3390/books978-3-7258-5290-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725852895 9783725852901 376 CH open access |
| spellingShingle | Precision agriculture Agriculture 4.0 Agriculture 5.0 Global change Sustainable and secure food resources Artificial intelligence (AI) Machine learning (ML) Deep learning (DL) Internet of things (IoT) Cloud computing Edge computing Smart devices Smart solutions Convolutional neural networks (CNN) Classification Object detection Computer vision Machine vision Machine diagnostics Web applications Mobile apps thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries Computational, AI and IT Solutions Helping Agriculture |
| title | Computational, AI and IT Solutions Helping Agriculture |
| title_full | Computational, AI and IT Solutions Helping Agriculture |
| title_fullStr | Computational, AI and IT Solutions Helping Agriculture |
| title_full_unstemmed | Computational, AI and IT Solutions Helping Agriculture |
| title_short | Computational, AI and IT Solutions Helping Agriculture |
| title_sort | computational ai and it solutions helping agriculture |
| topic | Precision agriculture Agriculture 4.0 Agriculture 5.0 Global change Sustainable and secure food resources Artificial intelligence (AI) Machine learning (ML) Deep learning (DL) Internet of things (IoT) Cloud computing Edge computing Smart devices Smart solutions Convolutional neural networks (CNN) Classification Object detection Computer vision Machine vision Machine diagnostics Web applications Mobile apps thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| topic_facet | Precision agriculture Agriculture 4.0 Agriculture 5.0 Global change Sustainable and secure food resources Artificial intelligence (AI) Machine learning (ML) Deep learning (DL) Internet of things (IoT) Cloud computing Edge computing Smart devices Smart solutions Convolutional neural networks (CNN) Classification Object detection Computer vision Machine vision Machine diagnostics Web applications Mobile apps thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries |
| url | ONIX_20260416T142754_9783725852895_39 |