[HTML][HTML] High-throughput phenotyping of plant leaf morphological, physiological, and biochemical traits on multiple scales using optical sensing
Acquisition of plant phenotypic information facilitates plant breeding, sheds light on gene
action, and can be applied to optimize the quality of agricultural and forestry products …
action, and can be applied to optimize the quality of agricultural and forestry products …
Evaluation of important phenotypic parameters of tea plantations using multi-source remote sensing data
H Li, Y Wang, K Fan, Y Mao, Y Shen… - Frontiers in Plant Science, 2022 - frontiersin.org
Tea height, leaf area index, canopy water content, leaf chlorophyll, and nitrogen
concentrations are important phenotypic parameters to reflect the status of tea growth and …
concentrations are important phenotypic parameters to reflect the status of tea growth and …
Improved maize leaf area index inversion combining plant height corrected resampling size and random forest model using UAV images at fine scale
X Gao, Y Yao, S Chen, Q Li, X Zhang, Z Liu… - European Journal of …, 2024 - Elsevier
Context Accurate monitoring of leaf area index (LAI) is conducive to timely and targeted
management measures. Unmanned aerial vehicle (UAV) remote sensing provides an …
management measures. Unmanned aerial vehicle (UAV) remote sensing provides an …
Regional-scale cotton yield forecast via data-driven spatio-temporal prediction (STP) of solar-induced chlorophyll fluorescence (SIF)
Solar-induced chlorophyll fluorescence (SIF), as a direct probe of vegetation photosynthesis,
has recently been an effective indicator for crop yield estimation in late-season. Spatio …
has recently been an effective indicator for crop yield estimation in late-season. Spatio …
Enhancing estimation of cover crop biomass using field-based high-throughput phenotyping and machine learning models
Incorporating cover crops into cropping systems offers numerous potential benefits,
including the reduction of soil erosion, suppression of weeds, decreased nitrogen …
including the reduction of soil erosion, suppression of weeds, decreased nitrogen …
The estimate one-two-sided confidence intervals for mean of spectral reflectance of the vegetation
S Kerimkhulle, Z Kerimkulov, Z Aitkozha… - Journal of Physics …, 2022 - iopscience.iop.org
This paper studies the problem on the estimate one-two-sided confidence intervals for mean
of spectral reflectance of the vegetation. For this, the theory and methodology of …
of spectral reflectance of the vegetation. For this, the theory and methodology of …
Improve Yield Prediction with Uas-Based Leaf Area Index Estimation and a Hybrid Machine Learning-and Process-Based Model
L Wang - 2022 - search.proquest.com
Crop yield prediction using process-based crop models lacks accurate datasets with enough
samples to calibrate. Previous studies used leaf area index (LAI) estimation to calibrate crop …
samples to calibrate. Previous studies used leaf area index (LAI) estimation to calibrate crop …