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Remote Sensing Applications for Agriculture and Crop Modelling

Crop models and remote sensing techniques have been combined and applied in agriculture and crop estimation on local and regional scales, or worldwide, based on the simultaneous development of crop models and remote sensing. The literature shows that many new remote sensing sensors and valuable meth...

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Autor principal: Toscano, Piero
Formato: Online
Idioma:inglês
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2021
Assuntos:
G1-922
Q1-390
nitrogen nutrition index
n/a
soil organic carbon
yield estimation
hyperspectral sensor
crop modeling
crop residue management
land use change
flat-fan atomizer
vegetation index
septoria tritici blotch
crop simulation model
temporal variability
spectral-weight variations in fused images
plant
EPIC model
large cardamom
crop inventory
proximal sensing
sorghum biomass
soil
UAV
Integrated Administration and Control System
canopy temperature depression
fractional cover
Cropsim-CERES Wheat
hyperspectral data
yield
wheat
precision farming
SPAD
AquaCrop
prediction modeling
spectral simulation
leaf nitrogen concentration
machine learning
crop production
protein content
Á Trous algorithm
spatial variability
variable rate technology
crop type mapping
Tarim Basin
leaf area index
management zone
irrigation
multi-spectral
agricultural land-cover
crop modelling
dynamic model
satellite images
climate change
control variables
generalized model
Sentinel-2 satellite imagery
vegetation indices
vegetable monitoring
Sentinel-2
remote sensing
cultivars
crop growth model
yield monitoring
big data technology
conservation agriculture
GIS
fAPAR
droplet drift
simulation analysis
durum wheat
hydroponic
grain yield
Leaf Area Index
NDVI
precision agriculture
relative frequencies
soil stoichiometry
habitat assessment
data assimilation
satellite
species modelling
?13C
disease
nitrogen
yield mapping
UAV chemical application
RGB images
decision support system for agrotechnology transfer (DSSAT)
thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography
Acesso em linha:44748
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