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Crop Disease Detection Using Remote Sensing Image Analysis

Pest and crop disease threats are often estimated by complex changes in crops and the applied agricultural practices that result mainly from the increasing food demand and climate change at global level. In an attempt to explore high-end and sustainable solutions for both pest and crop disease manag...

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Formato: Online
Idioma:inglês
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2022
Assuntos:
hyperspectral
thermal
proximal sensing
disease detection
signal-to-noise ratio
outbreak prediction
sensor fusion
unsupervised clustering
multispectral imaging
thermal imaging
unmanned aerial vehicle
UAV
lodging
unmanned aerial vehicle (UAV)
canopy structure feature
Akaike information criterion (AIC) method
difference index (DI)
texture
canopy model of row crops
multiple scattering for geometric optical approach
the gap probabilities of row crops
overlapping relationship
hotspot
n/a
wheat yellow rust
vegetation indices
meteorological information
food security
regional remote sensing
vegetation health monitoring
remote sensing
NDVI
polarization
image fusion
wheat powdery mildew
hyperspectral imaging
early
detect the crop disease
quantify the disease severity
plant disease
band selection
machine learning
anthocyanin
hyperspectral reflectance
linear discriminant analysis
precision crop protection
object detection
UAV images
maturity detection
efficientdet
retinanet
centernet
deep learning
precision agriculture
broccoli
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
Acesso em linha:ONIX_20221117_9783036556062_120
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