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Estimate of winter-wheat above-ground biomass based on UAV ultrahigh-ground-resolution image textures and vegetation indices
When dealing with multiple growth stages, estimates of above-ground biomass (AGB) based
on optical vegetation indices (VIs) are difficult for two reasons:(i) optical VIs saturate at …
on optical vegetation indices (VIs) are difficult for two reasons:(i) optical VIs saturate at …
Estimation methods develo** with remote sensing information for energy crop biomass: A comparative review
The rapid development of remote sensing (RS) technology enables an increased usage of
high-resolution, spatial, temporal or spectral, data to extract vegetation information, improve …
high-resolution, spatial, temporal or spectral, data to extract vegetation information, improve …
A critical review on applications of hyperspectral remote sensing in crop monitoring
Numerous technologies have contributed to the recent development of agriculture,
especially the advancement in hyperspectral remote sensing (HRS) constituted a revolution …
especially the advancement in hyperspectral remote sensing (HRS) constituted a revolution …
[HTML][HTML] Estimating biomass of barley using crop surface models (CSMs) derived from UAV-based RGB imaging
Crop monitoring is important in precision agriculture. Estimating above-ground biomass
helps to monitor crop vitality and to predict yield. In this study, we estimated fresh and dry …
helps to monitor crop vitality and to predict yield. In this study, we estimated fresh and dry …
[HTML][HTML] Estimation of crop growth parameters using UAV-based hyperspectral remote sensing data
Above-ground biomass (AGB) and the leaf area index (LAI) are important indicators for the
assessment of crop growth, and are therefore important for agricultural management …
assessment of crop growth, and are therefore important for agricultural management …
Winter wheat yield estimation based on multi-source medium resolution optical and radar imaging data and the AquaCrop model using the particle swarm optimization …
Timely and accurate estimation of winter wheat yield at a regional scale is crucial for
national food policy and security assessments. Near-infrared reflectance is not sensitive to …
national food policy and security assessments. Near-infrared reflectance is not sensitive to …
[HTML][HTML] Deep neural network algorithm for estimating maize biomass based on simulated Sentinel 2A vegetation indices and leaf area index
Accurate estimation of biomass is necessary for evaluating crop growth and predicting crop
yield. Biomass is also a key trait in increasing grain yield by crop breeding. The aims of this …
yield. Biomass is also a key trait in increasing grain yield by crop breeding. The aims of this …
Combined multi-temporal optical and radar parameters for estimating LAI and biomass in winter wheat using HJ and RADARSAR-2 data
Leaf area index (LAI) and biomass are frequently used target variables for agricultural and
ecological remote sensing applications. Ground measurements of winter wheat LAI and …
ecological remote sensing applications. Ground measurements of winter wheat LAI and …
Development and implementation of a multiscale biomass model using hyperspectral vegetation indices for winter wheat in the North China Plain
Crop monitoring during the growing season is important for regional management decisions
and biomass prediction. The objectives of this study were to develop, improve and validate a …
and biomass prediction. The objectives of this study were to develop, improve and validate a …
Predicting grain yield and protein content of winter wheat at different growth stages by hyperspectral data integrated with growth monitor index
S Liu, Z Hu, J Han, Y Li, T Zhou - Computers and Electronics in Agriculture, 2022 - Elsevier
Hyperspectral reflectance data can detect a great detail for predicting wheat's grain yield
(GY) and protein content (GPC). Based on different water and nitrogen rates, canopy …
(GY) and protein content (GPC). Based on different water and nitrogen rates, canopy …