Revolutionizing UAV: Experimental Evaluation of IoT-Enabled Unmanned Aerial Vehicle-Based Agricultural Field Monitoring Using Remote Sensing Strategy-Reference-Cited by-同舟云学术

Revolutionizing UAV: Experimental Evaluation of IoT-Enabled Unmanned Aerial Vehicle-Based Agricultural Field Monitoring Using Remote Sensing Strategy

Published:2024-09-13 Issue: Volume: Page:
ISSN:2520-8195
Container-title:Remote Sensing in Earth Systems Sciences
language:en
Short-container-title:Remote Sens Earth Syst Sci

Author:

Narayanappa Gireesh Babu Chandanadur,Abbas Syed Hauider,Annamalai Lavanya,Meenakshi Ramakrishnan,Singh Mangal,Yadav Tumikipalli Nagaraju,Kumar Aarthi Ramesh

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s41976-024-00134-y.pdf

Reference20 articles.

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2. Nduku L et al (2023) Global research trends for unmanned aerial vehicle remote sensing application in wheat crop monitoring. Geomatics 3(1):115–136. https://doi.org/10.3390/geomatics3010006

3. Alessandra V et al (2023) “Geometrical characterization of hazelnut trees in an intensive orchard by an unmanned aerial vehicle (UAV) for precision agriculture applications”. RS 15(2): 541. https://doi.org/10.3390/rs15020541

4. Zhonghui G et al (2024) “Identifying rice field weeds from unmanned aerial vehicle remote sensing imagery using deep learning”. PM 20:105. https://doi.org/10.1186/s13007-024-01232-0

5. Juan Xiao et al (2023) “Deep learning-based spatiotemporal fusion of unmanned aerial vehicle and satellite reflectance images for crop monitoring”. In IEEE Access 11:85600–85614. https://doi.org/10.1109/ACCESS.2023.3297513