Optimum spectral and geometric parameters for early detection of laurel wilt disease in avocado-Reference-Cited by-同舟云学术

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

Published:2015-12 Issue: Volume:171 Page:33-44
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

De Castro A.I.,Ehsani R.,Ploetz R.,Crane J.H.,Abdulridha J.

Funder

Florida Department of Agriculture and Consumer Services

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference72 articles.

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2. Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density;Broge;Remote Sensing of Environment,2000

3. Evaluation of neural-network classifiers for weed species discrimination;Burks;Biosystems Engineering,2005

4. High-resolution airborne hyperspectral and thermal imagery for early detection of Verticillium wilt of olive using fluorescence, temperature and narrow-band spectral indices;Calderón;Remote Sensing of Environment,2013

5. Lateral transfer of a phytopathogentic symbiont among native and exotic ambrosia beetles;Carillo;Plant Pathology,2014

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