Crop/plant modeling supports plant breeding: II. Guidance of functional plant phenotyping for trait discovery

P Zhang, J Huang, Y Ma, X Wang, M Kang… - Plant …, 2023 - spj.science.org
Observable morphological traits are widely employed in plant phenotyping for breeding use,
which are often the external phenotypes driven by a chain of functional actions in plants …

Quantitative assessment of grassland foliar moisture parameters as an inference on rangeland condition in the mesic rangelands of southern Africa

M Sibanda, M Onisimo, T Dube… - International Journal of …, 2021 - Taylor & Francis
ABSTRACT Understanding Grass Water Content (GWC) is critical in assessing rangelands
health as well as utilization rates and patterns. Spatial explicit information on grassland …

A study of nitrogen deficiency inversion in rice leaves based on the hyperspectral reflectance differential

F Yu, S Feng, W Du, D Wang, Z Guo, S Xing… - Frontiers in Plant …, 2020 - frontiersin.org
To achieve rapid, accurate, and non-destructive diagnoses of nitrogen deficiency in cold
land japonica rice, hyperspectral data were collected from field experiments to investigate …

Combining hyperspectral reflectance and multivariate regression models to estimate plant biomass of advanced spring wheat lines in diverse phenological stages …

S El-Hendawy, N Al-Suhaibani, M Mubushar… - Applied Sciences, 2022 - mdpi.com
An area of growing interest in wheat-breeding programs for abiotic stresses is the accurate
and expeditious phenotyping of large genotype collections using nondestructive …

Combining hyperspectral reflectance indices and multivariate analysis to estimate different units of chlorophyll content of spring wheat under salinity conditions

S El-Hendawy, YH Dewir, S Elsayed, U Schmidhalter… - Plants, 2022 - mdpi.com
Although plant chlorophyll (Chl) is one of the important elements in monitoring plant stress
and reflects the photosynthetic capacity of plants, their measurement in the lab is generally …

Real time estimation of leaf area index and groundnut yield using multispectral UAV

MN Tahir, Y Lan, Y Zhang, Y Wang, F Nawaz… - International Journal of …, 2020 - ijpaa.org
The use of Unmanned Aerial Vehicles (UAVs) is becoming very common for last few years
for monitoring agricultural crops efficiently. Â Low altitude remote sensing (UAV) provides …

Assessment of UAV-Onboard Multispectral Sensor for non-destructive site-specific rapeseed crop phenotype variable at different phenological stages and resolutions

S Hussain, K Gao, M Din, Y Gao, Z Shi, S Wang - Remote Sensing, 2020 - mdpi.com
Unmanned aerial vehicles (UAVs) equipped with spectral sensors have become useful in
the fast and non-destructive assessment of crop growth, endurance and resource dynamics …

Estimating carbon, nitrogen, and phosphorus contents of west–east grassland transect in Inner Mongolia based on Sentinel-2 and meteorological data

H Pang, A Zhang, S Yin, J Zhang, G Dong, N He… - Remote Sensing, 2022 - mdpi.com
Estimating the carbon (C), nitrogen (N), and phosphorus (P) contents of a large-span
grassland transect is essential for evaluating ecosystem functioning and monitoring …

Using field hyperspectral data to predict cotton yield reduction after hail damage

L Wang, Y Liu, M Wen, M Li, Z Dong, Z He, J Cui… - … and Electronics in …, 2021 - Elsevier
Rapid and accurate prediction of yield reduction after a hailstorm is essential for insurance
companies for developing compensation standards and farmers to take appropriate post …

Multivariate analysis models based on full spectra range and effective wavelengths using different transformation techniques for rapid estimation of leaf nitrogen …

L Li, D Lin, J Wang, L Yang, Y Wang - Frontiers in plant science, 2020 - frontiersin.org
To develop a stable estimation model and identify effective wavelengths that could explain
the variations in leaf nitrogen (N) concentration with different N supplies, growing seasons …