Advanced in Remote Sensing Approaches for Agricultural Monitoring at Field and Regional Scale
The aim of this reprint is to immerse the reader in the latest approaches of advancements in remote sensing for agricultural monitoring at field and regional scale. In the ever-evolving landscape of agriculture, the integration of cutting-edge technologies is crucial for enhancing precision and sust...
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| Formato: | Online |
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| Idioma: | inglês |
| Publicado em: |
MDPI - Multidisciplinary Digital Publishing Institute
2026
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| Acesso em linha: | ONIX_20260416T142754_9783725858439_15 |
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| collection | Directory of Open Access Books |
| description | The aim of this reprint is to immerse the reader in the latest approaches of advancements in remote sensing for agricultural monitoring at field and regional scale. In the ever-evolving landscape of agriculture, the integration of cutting-edge technologies is crucial for enhancing precision and sustainability. Remote sensing emerges as a linchpin in this pursuit, acting as a transformative tool that enables a comprehensive understanding of agricultural systems. Applied data play a pivotal role in unravelling the complexities of agricultural monitoring, providing invaluable insights into yield variations, crop health, and overall ecosystem dynamics. This reprint sets the stage for a deeper exploration of how remote sensing acts as a catalyst for innovation in the agricultural domain. By establishing the synergy between the chosen thematic focus and the capabilities of remote sensing, this Special Issue aims to propel advancements that contribute to the evolution of sustainable and ecologically conscious agricultural practices at both field and regional scales. The incorporation of all new techniques in the use of remote sensing and in the knowledge of agriculture at the local level, with new sensors that make remote sensing behave as a source of temporal data and learning in monitoring systems using artificial intelligence, makes it necessary to exchange all types of experience with the different sensors installed on any type of platform and in this way advances ecological and sustainable agriculture. |
| format | Online |
| id | doab-20.500.12854ir-174960 |
| 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-1749602026-04-16T17:55:18Z Advanced in Remote Sensing Approaches for Agricultural Monitoring at Field and Regional Scale Dominguez-Gómez, Jose Antonio Kumhálová, Jitka Precision Agriculture UAV and Satellite Data Yield Prediction thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general The aim of this reprint is to immerse the reader in the latest approaches of advancements in remote sensing for agricultural monitoring at field and regional scale. In the ever-evolving landscape of agriculture, the integration of cutting-edge technologies is crucial for enhancing precision and sustainability. Remote sensing emerges as a linchpin in this pursuit, acting as a transformative tool that enables a comprehensive understanding of agricultural systems. Applied data play a pivotal role in unravelling the complexities of agricultural monitoring, providing invaluable insights into yield variations, crop health, and overall ecosystem dynamics. This reprint sets the stage for a deeper exploration of how remote sensing acts as a catalyst for innovation in the agricultural domain. By establishing the synergy between the chosen thematic focus and the capabilities of remote sensing, this Special Issue aims to propel advancements that contribute to the evolution of sustainable and ecologically conscious agricultural practices at both field and regional scales. The incorporation of all new techniques in the use of remote sensing and in the knowledge of agriculture at the local level, with new sensors that make remote sensing behave as a source of temporal data and learning in monitoring systems using artificial intelligence, makes it necessary to exchange all types of experience with the different sensors installed on any type of platform and in this way advances ecological and sustainable agriculture. 2026-04-16T17:55:10Z 2026-04-16T17:55:10Z 2025 book ONIX_20260416T142754_9783725858439_15 9783725858439 9783725858446 https://directory.doabooks.org/handle/20.500.12854/174960 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/ https://mdpi.com/books/pdfview/book/11859 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-5844-6 10.3390/books978-3-7258-5844-6 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725858439 9783725858446 214 CH open access |
| spellingShingle | Precision Agriculture UAV and Satellite Data Yield Prediction thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general Advanced in Remote Sensing Approaches for Agricultural Monitoring at Field and Regional Scale |
| title | Advanced in Remote Sensing Approaches for Agricultural Monitoring at Field and Regional Scale |
| title_full | Advanced in Remote Sensing Approaches for Agricultural Monitoring at Field and Regional Scale |
| title_fullStr | Advanced in Remote Sensing Approaches for Agricultural Monitoring at Field and Regional Scale |
| title_full_unstemmed | Advanced in Remote Sensing Approaches for Agricultural Monitoring at Field and Regional Scale |
| title_short | Advanced in Remote Sensing Approaches for Agricultural Monitoring at Field and Regional Scale |
| title_sort | advanced in remote sensing approaches for agricultural monitoring at field and regional scale |
| topic | Precision Agriculture UAV and Satellite Data Yield Prediction thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| topic_facet | Precision Agriculture UAV and Satellite Data Yield Prediction thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general |
| url | ONIX_20260416T142754_9783725858439_15 |