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[HTML][HTML] A review of hybrid approaches for quantitative assessment of crop traits using optical remote sensing: research trends and future directions
Remote sensing technology allows to provide information about biochemical and
biophysical crop traits and monitor their spatiotemporal dynamics of agriculture ecosystems …
biophysical crop traits and monitor their spatiotemporal dynamics of agriculture ecosystems …
Inversion of maize leaf area index from UAV hyperspectral and multispectral imagery
The accurate estimation of Leaf area index (LAI) is of great importance for evaluating crop
growth in precision agriculture. Although previous studies have confirmed great advantages …
growth in precision agriculture. Although previous studies have confirmed great advantages …
[HTML][HTML] Super resolution of historic Landsat imagery using a dual generative adversarial network (GAN) model with CubeSat constellation imagery for spatially …
Detailed spatial representations of terrestrial vegetation are essential for precision
agricultural applications and the monitoring of land cover changes in heterogeneous …
agricultural applications and the monitoring of land cover changes in heterogeneous …
[HTML][HTML] A systematic review of radiative transfer models for crop yield prediction and crop traits retrieval
Radiative transfer models (RTMs) provide reliable information about crop yield and traits
with high resource efficiency. In this study, we have conducted a systematic literature review …
with high resource efficiency. In this study, we have conducted a systematic literature review …
Estimating canopy-scale chlorophyll content in apple orchards using a 3D radiative transfer model and UAV multispectral imagery
Chlorophyll content is a key trait for understanding the functioning of agroforestry
ecosystems and has important implications for leaf and canopy photosynthesis. However …
ecosystems and has important implications for leaf and canopy photosynthesis. However …
[HTML][HTML] Radiative transfer model inversion using high-resolution hyperspectral airborne imagery–Retrieving maize LAI to access biomass and grain yield
Map** crop within-field yield variability provide an essential piece of information for
precision agriculture applications. Leaf Area Index (LAI) is an important parameter that …
precision agriculture applications. Leaf Area Index (LAI) is an important parameter that …
Prior knowledge and active learning enable hybrid method for estimating leaf chlorophyll content from multi-scale canopy reflectance
Real-time and accurate assessment of leaf chlorophyll content (C ab) will be significant for
monitoring plant physiological status. Development of hybrid methods advances the …
monitoring plant physiological status. Development of hybrid methods advances the …
[HTML][HTML] Hyperspectral estimation of wheat stripe rust using fractional order differential equations and Gaussian process methods
J Zhang, X **g, X Song, T Zhang, WN Duan… - … and Electronics in …, 2023 - Elsevier
Wheat stripe rust is the main cause of yield loss in winter wheat. For nondestructive
monitoring of wheat stripe rust by remote sensing, a high-precision stripe rust monitoring …
monitoring of wheat stripe rust by remote sensing, a high-precision stripe rust monitoring …
[HTML][HTML] Integrating UAV hyperspectral data and radiative transfer model simulation to quantitatively estimate maize leaf and canopy nitrogen content
Crop nitrogen (N) content reflects crop nutrient status and plays an important role in
precision nutrient management. Accurate crop N content estimation from remote sensing …
precision nutrient management. Accurate crop N content estimation from remote sensing …
Estimation of canopy water content for wheat through combining radiative transfer model and machine learning
Canopy water content (CWC) is an important indicator of crop growth. Currently, the hybrid
approach, which combines the physical model and machine learning (ML) method, is …
approach, which combines the physical model and machine learning (ML) method, is …