[HTML][HTML] High-throughput phenotyping of plant leaf morphological, physiological, and biochemical traits on multiple scales using optical sensing

H Zhang, L Wang, X Jin, L Bian, Y Ge - The Crop Journal, 2023 - Elsevier
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 …

Hyperspectral-to-image transform and CNN transfer learning enhancing soybean LCC estimation

J Yue, H Yang, H Feng, S Han, C Zhou, Y Fu… - … and Electronics in …, 2023 - Elsevier
Leaf chlorophyll content (LCC) is a distinct indicator of crop health status used to estimate
nutritional stress, diseases, and pests. Thus, accurate LCC information can assist in the …

A systematic review of radiative transfer models for crop yield prediction and crop traits retrieval

RAF Ishaq, G Zhou, C Tian, Y Tan, G Jing, H Jiang - Remote Sensing, 2023 - mdpi.com
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 …

Retrieving decametric-resolution leaf chlorophyll content from GF-6 WFV by assessing the applicability of red-edge vegetation indices

C Gu, J Li, Q Liu, H Zhang, L Liu, F Mumtaz… - … and Electronics in …, 2023 - Elsevier
Accurate and timely retrieval of leaf chlorophyll content (LCC) at fine spatial scales is crucial
for monitoring plants' photosynthetic capacity and nutritional status. The wide field-of-view …

Estimating the SPAD of Litchi in the Growth Period and Autumn Shoot Period Based on UAV Multi-Spectrum

J Xie, J Wang, Y Chen, P Gao, H Yin, S Chen, D Sun… - Remote Sensing, 2023 - mdpi.com
The relative content of chlorophyll, assessed through the soil and plant analyzer
development (SPAD), serves as a reliable indicator reflecting crop photosynthesis and the …

Unmanned aerial system-based wheat biomass estimation using multispectral, structural and meteorological data

J Zhang, Y Zhao, Z Hu, W Xiao - Agriculture, 2023 - mdpi.com
Rapid estimation of above-ground biomass (AGB) with high accuracy is essential for
monitoring crop growth status and predicting crop yield. Recently, remote sensing …

Inversion of Leaf Water Content of Cinnamomum camphora Based on Preferred Spectral Index and Machine Learning Algorithm

B Yang, H Zhang, X Lu, H Wan, Y Zhang, J Zhang… - Forests, 2023 - mdpi.com
Plant leaf water content significantly influences photosynthetic efficiency and crop yield. Leaf
water content (LWC) and equivalent water thickness (EWT) are indicators that reflect the …

Monitoring of chlorophyll content in local saltwort species Suaeda salsa under water and salt stress based on the PROSAIL-D model in coastal wetland

S Zhang, J Tian, X Lu, Q Tian, S He, Y Lin, S Li… - Remote Sensing of …, 2024 - Elsevier
As the invasion of alien species intensifies, the native salt marsh vegetation, especially the
ecosystem of Suaeda salsa (S. salsa), in Chinese coastal wetlands has been severely …

Analyzing winter-wheat biochemical traits using hyperspectral remote sensing and deep learning

J Yue, G Yang, C Li, Y Liu, J Wang, W Guo, X Ma… - … and Electronics in …, 2024 - Elsevier
Accurate estimation of crop leaf and canopy biochemical traits, such as leaf dry matter
content (Cm), leaf equivalent water thickness (Cw), leaf area index (LAI), dry leaf biomass …

Enhancing precision of root-zone soil moisture content prediction in a kiwifruit orchard using UAV multi-spectral image features and ensemble learning

S Zhu, N Cui, L Guo, H Jin, X Jin, S Jiang, Z Wu… - … and Electronics in …, 2024 - Elsevier
Accurate and real-time monitoring of soil moisture content (SMC) is of utmost importance for
effective field irrigation and maximizing crop water productivity. However, a comprehensive …