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Methodologies Used in Remote Sensing Data Analysis and Remote Sensors for Precision Agriculture

When adopting remote sensing techniques in precision agriculture, there are two main areas to consider: data acquisition and data analysis methodologies. Imagery and remote sensor data collected using different platforms provide a variety of information volumes and formats. For example, recent resea...

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Formato: Online
Idioma:inglês
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2023
Assuntos:
vineyard
pesticide application
variable rate application
unmanned aerial vehicle
satellite
nanosatellite
monsoon crops
leaf area index
leaf chlorophyll concentration
crop water content
multispectral
hyperspectral
deep learning
forage dry matter yield
high-throughput phenotyping
Brazilian pasture
nitrogen indicator
nitrogen nutrition diagnosis
optical sensor
spectral index
UAV
wheat lodging
lightweight
digital surface model (DSM)
winter wheat
fractional order differential
continuous wavelet transform
optimal subset regression
support vector machine
wheat powdery mildew
machine learning
information fusion
remote sensing monitoring
hyperspectral imaging
dimensionality reduction
LDA
PLS
PCA
RandomForest
ReliefF
XGB
Meloidogyne
Solanum tuberosum
soil salinity sensitive parameter
random forest
optimal retrieval model
remote sensing
high throughput phenotyping
UAV/drone
biomass estimation
oats
wheat
yield prediction
random forests
satellite imagery
Normalized Difference Vegetation Index (NDVI)
n/a
thema EDItEUR::M Medicine and Nursing
Acesso em linha:ONIX_20230307_9783036566146_48
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