[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 …
Hyperspectral-to-image transform and CNN transfer learning enhancing soybean LCC estimation
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 …
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 …
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
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 …
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 …
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 …
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 …
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 …
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
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 …
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
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 …
effective field irrigation and maximizing crop water productivity. However, a comprehensive …