Applications of Artificial Intelligence in Forestry
Recent advances in big data related to Earth observations have fostered interdisciplinary studies of forest dynamics and management, as well as their interactions with the environment. Artificial intelligence (AI) provides an interesting and efficient solution for big data applications in forestry....
में बचाया:
| स्वरूप: | Online |
|---|---|
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| विषय: | |
| ऑनलाइन पहुंच: | ONIX_20250812T110751_9783725834556_23 |
| टैग: |
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!
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| _version_ | 1869516972196102144 |
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| collection | Directory of Open Access Books |
| description | Recent advances in big data related to Earth observations have fostered interdisciplinary studies of forest dynamics and management, as well as their interactions with the environment. Artificial intelligence (AI) provides an interesting and efficient solution for big data applications in forestry. AI-based approaches, e.g., a variety of deep learning models, are currently dedicated to forest monitoring, assessment, mapping, and predictions, e.g., using satellite remote sensing images, for smart decision-making in forest management, among other applications. In such cases, deep learning models have indicated excellent performances in many studies. In the era of big data, there are numerous emerging opportunities to utilize deep learning models to improve our understanding of forest processes and dynamics, as well as forest–climate interactions in the warming environment. This reprint presents several relevant results from scientific studies in the fields of tree species identification, tree disease, and forest fire detection from satellite imagery; the ecological functions and productions of forests and their interactions with the climate are also studied using AI-based models. |
| format | Online |
| id | doab-20.500.12854ir-165267 |
| 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-1652672025-08-12T09:15:39Z Applications of Artificial Intelligence in Forestry Wang, Guojie Zhang, Zengxin forestry artificial intelligence remote sensing climate change thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general Recent advances in big data related to Earth observations have fostered interdisciplinary studies of forest dynamics and management, as well as their interactions with the environment. Artificial intelligence (AI) provides an interesting and efficient solution for big data applications in forestry. AI-based approaches, e.g., a variety of deep learning models, are currently dedicated to forest monitoring, assessment, mapping, and predictions, e.g., using satellite remote sensing images, for smart decision-making in forest management, among other applications. In such cases, deep learning models have indicated excellent performances in many studies. In the era of big data, there are numerous emerging opportunities to utilize deep learning models to improve our understanding of forest processes and dynamics, as well as forest–climate interactions in the warming environment. This reprint presents several relevant results from scientific studies in the fields of tree species identification, tree disease, and forest fire detection from satellite imagery; the ecological functions and productions of forests and their interactions with the climate are also studied using AI-based models. 2025-08-12T09:15:37Z 2025-08-12T09:15:37Z 2025 book ONIX_20250812T110751_9783725834556_23 9783725834556 9783725834563 https://directory.doabooks.org/handle/20.500.12854/165267 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/10794 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-3456-3 10.3390/books978-3-7258-3456-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725834556 9783725834563 236 open access |
| spellingShingle | forestry artificial intelligence remote sensing climate change thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general Applications of Artificial Intelligence in Forestry |
| title | Applications of Artificial Intelligence in Forestry |
| title_full | Applications of Artificial Intelligence in Forestry |
| title_fullStr | Applications of Artificial Intelligence in Forestry |
| title_full_unstemmed | Applications of Artificial Intelligence in Forestry |
| title_short | Applications of Artificial Intelligence in Forestry |
| title_sort | applications of artificial intelligence in forestry |
| topic | forestry artificial intelligence remote sensing climate change thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| topic_facet | forestry artificial intelligence remote sensing climate change thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| url | ONIX_20250812T110751_9783725834556_23 |