[HTML][HTML] High-throughput phenoty** of plant leaf morphological, physiological, and biochemical traits on multiple scales using optical sensing
H Zhang, L Wang, X **, L Bian, M Shu, S Fei, B Zhang, X Yang, Y Guo, B Li… - Plant Phenomics, 2022 - spj.science.org
High-throughput estimation of phenotypic traits from UAV (unmanned aerial vehicle) images
is helpful to improve the screening efficiency of breeding maize. Accurately estimating …
is helpful to improve the screening efficiency of breeding maize. Accurately estimating …
Estimation of relative chlorophyll content in spring wheat based on multi-temporal UAV remote sensing
Q Wu, Y Zhang, Z Zhao, M **e, D Hou - Agronomy, 2023 - mdpi.com
Relative chlorophyll content (SPAD) is an important index for characterizing the nitrogen
nutrient status of plants. Continuous, rapid, nondestructive, and accurate estimation of SPAD …
nutrient status of plants. Continuous, rapid, nondestructive, and accurate estimation of SPAD …
Monitoring leaf area index of the sown mixture pasture through UAV multispectral image and texture characteristics
X Wang, S Yan, W Wang, L Yin, M Li, Z Yu… - … and Electronics in …, 2023 - Elsevier
Leaf area index (LAI) is an important phenotypic trait closely related to photosynthesis,
respiration, and water utilization. In recent years, unmanned aerial vehicles (UAVs) …
respiration, and water utilization. In recent years, unmanned aerial vehicles (UAVs) …
Improving estimation of maize leaf area index by combining of UAV-based multispectral and thermal infrared data: The potential of new texture index
N Yang, Z Zhang, J Zhang, Y Guo, X Yang, G Yu… - … and Electronics in …, 2023 - Elsevier
Crop leaf area index (LAI) is one of the important indicators to evaluate crop growth and
guide field management, and can be used to predict crop yield. Spectral and thermal …
guide field management, and can be used to predict crop yield. Spectral and thermal …
[HTML][HTML] Evaluation of UAV-based drought indices for crop water conditions monitoring: A case study of summer maize
Accurately monitoring the crop water conditions (CWC) is vital for agricultural water
management. Traditional in situ measurements are limited by inefficiency and lack of spatial …
management. Traditional in situ measurements are limited by inefficiency and lack of spatial …
Improving wheat yield prediction accuracy using LSTM-RF framework based on UAV thermal infrared and multispectral imagery
Yield prediction is of great significance in agricultural production. Remote sensing
technology based on unmanned aerial vehicles (UAVs) offers the capacity of non-intrusive …
technology based on unmanned aerial vehicles (UAVs) offers the capacity of non-intrusive …