Advanced in Remote Sensing Approaches for Agricultural Monitoring at Field and Regional Scale

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Bol 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.

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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.

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Pagina's: 214, Hardcover, MDPI AG


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Merk MDPI AG
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  • 9783725858439
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