57. Optimizing peach management based on hyperspectral and unmanned aerial vehicle (UAV) technology-Reference-Cited by-同舟云学术

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57. Optimizing peach management based on hyperspectral and unmanned aerial vehicle (UAV) technology

Published:2021-06-25 Issue: Volume: Page:
ISSN:
Container-title:Precision agriculture ’21
language:
Short-container-title:

Author:

de Castro A.I.¹,Maja J.M.²,Melgar J.C.³,Schnabel G.³,López-Granados F.⁴,Peña J.M.⁵

Affiliation:

1. National Agricultural and Food Research and Technology Institute-INIA. Madrid, Spain.

2. Edisto Research and Education Center, Clemson University, Blackville SC, USA.

3. Department of Plant and Environmental Sciences, Clemson University, Clemson, SC, USA.

4. Institute for Sustainable Agriculture (IAS), Spanish National Research Council (CSIC), Córdoba, Spain.

5. Institute of Agricultural Sciences (ICA), Spanish National Research Council (CSIC), Madrid, Spain.

Publisher

Wageningen Academic Publishers

Link

https://www.wageningenacademic.com/doi/pdf/10.3920/978-90-8686-916-9_57

Reference25 articles.

1. Detection of Flavescence dorée Grapevine Disease Using Unmanned Aerial Vehicle (UAV) Multispectral Imagery

2. Detection of Flavescence dorée Grapevine Disease Using Unmanned Aerial Vehicle (UAV) Multispectral Imagery

3. In-Field Detection of Yellow Rust in Wheat on the Ground Canopy and UAV Scale

4. In-Field Detection of Yellow Rust in Wheat on the Ground Canopy and UAV Scale

5. Optimum spectral and geometric parameters for early detection of laurel wilt disease in avocado

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