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Towards Tree-level Evapotranspiration Estimation with Small UAVs in Precision Agriculture

BuchGebunden
156 Seiten
Englisch
Springererschienen am28.10.20221st ed. 2022
It also covers the challenges and opportunities for UAVs in ET estimation, with the final chapters devoted to new ET estimation methods and their potential applications for future research.mehr
Verfügbare Formate
BuchGebunden
EUR139,09
BuchKartoniert, Paperback
EUR139,09
E-BookPDF1 - PDF WatermarkE-Book
EUR128,39

Produkt

KlappentextIt also covers the challenges and opportunities for UAVs in ET estimation, with the final chapters devoted to new ET estimation methods and their potential applications for future research.
Zusammenfassung
A review of the ET estimation with small UAV

New field methods for ET estimation

Application of uncooled thermal camera
Details
ISBN/GTIN978-3-031-14936-8
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2022
Erscheinungsdatum28.10.2022
Auflage1st ed. 2022
Seiten156 Seiten
SpracheEnglisch
IllustrationenXXIV, 156 p. 60 illus., 56 illus. in color.
Artikel-Nr.9714186

Inhalt/Kritik

Inhaltsverzeichnis
Chapter 1:  Introduction.- Chapter 2:  ET Estimation Methods with UAVs:  A Comprehensive Review.- Chapter 3:  Existing ET Estimation Methods with UAVs: Results and Discussions.- Chapter 4: Estimating Actual Crop Evapotranspiration Using Deep Stochastic Configuration Networks Model and UAV-based Crop Coefficients in A Pomegranate Orchard.- Chapter 5: Reliable Tree-level Evapotranspiration Estimation of Pomegranate Trees Using Lysimeter and UAV Multispectral Imagery.- Chapter 6: Tree-level Water Status Inference Using UAV Thermal Imagery and Machine Learning.- Chapter 7: Conclusion and Future Research.mehr

Schlagworte

Autor

YangQuan Chen received his PhD degree in advanced control and instrumentation from the Nanyang Technological University in Singapore. Currently, he is a full professor at the University of California Merced. His Mechatronics, Embedded Systems and Automation (MESA) Lab at UC Merced is emerging as a widely known "drone lab" with the vision to build an "agriculture drone valley" in California's Central Valley. The lab's work on low-cost, reliably airworthy, multispectral UAV-based remote sensing systems helps create a new type of information services valuable not only for farming and growing, but also for environmental monitoring and assessment. Prof Chen has published over 300 peer-reviewed paper and more than 20 books/book chapters.