[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 …

2019 年中国陆表定量遥感发展综述

梁顺林, 白瑞, 陈晓娜, 程洁, 范闻捷, 何涛, 贾坤… - 遥感学报, 2021 - ygxb.ac.cn
为了更好地了解中国定量遥感的发展态势和加强同行之间的信息交流, 根据中国学者2019
年发表的SCI 检索论文和部分中文论文, 对陆表定量遥感的核心进展进行了总结 …

Linking remote sensing parameters to CO2 assimilation rates at a leaf scale

K Hikosaka, K Tsujimoto - Journal of Plant Research, 2021 - Springer
Solar-induced chlorophyll fluorescence (SIF) and photochemical reflectance index (PRI) are
expected to be useful for remote sensing of photosynthetic activity at various spatial scales …

Laboratory and UAV-based identification and classification of tomato yellow leaf curl, bacterial spot, and target spot diseases in tomato utilizing hyperspectral imaging …

J Abdulridha, Y Ampatzidis, J Qureshi, P Roberts - Remote Sensing, 2020 - mdpi.com
Tomato crops are susceptible to multiple diseases, several of which may be present during
the same season. Therefore, rapid disease identification could enhance crop management …

[HTML][HTML] Newly-developed three-band hyperspectral vegetation index for estimating leaf relative chlorophyll content of mangrove under different severities of pest and …

X Jiang, J Zhen, J Miao, D Zhao, Z Shen, J Jiang… - Ecological …, 2022 - Elsevier
Hyperspectral imaging-derived vegetation indices (VIs) have rarely been developed to
estimate leaf chlorophyll content of mangrove forests under pest and disease stress …

[HTML][HTML] Spectral preprocessing combined with deep transfer learning to evaluate chlorophyll content in cotton leaves

Q Xiao, W Tang, C Zhang, L Zhou, L Feng, J Shen… - Plant …, 2022 - spj.science.org
Rapid determination of chlorophyll content is significant for evaluating cotton's nutritional
and physiological status. Hyperspectral technology equipped with multivariate analysis …

Fusion of feature selection methods and regression algorithms for predicting the canopy water content of rice based on hyperspectral data

O Elsherbiny, Y Fan, L Zhou, Z Qiu - Agriculture, 2021 - mdpi.com
Estimation of the canopy water content (CWC) is extremely important for irrigation
management decisions. Machine learning and hyperspectral imaging technology have …

Generating 3D multispectral point clouds of plants with fusion of snapshot spectral and RGB-D images

P Xie, R Du, Z Ma, H Cen - Plant Phenomics, 2023 - spj.science.org
Accurate and high-throughput plant phenotyping is important for accelerating crop breeding.
Spectral imaging that can acquire both spectral and spatial information of plants related to …

Leaf chlorophyll contents dominates the seasonal dynamics of SIF/GPP ratio: Evidence from continuous measurements in a maize field

R Chen, L Liu, X Liu - Agricultural and Forest Meteorology, 2022 - Elsevier
The coupling of solar-induced chlorophyll fluorescence (SIF) and gross primary production
(GPP) is the foundation of SIF-based GPP estimations; however, the relationship between …

Unmanned air vehicle based high resolution imagery for chlorophyll estimation using spectrally modified vegetation indices in vertical hierarchy of citrus grove

SMZA Naqvi, M Awais, FS Khan, U Afzal, N Naz… - Remote Sensing …, 2021 - Elsevier
Chlorophyll is a significant indicator of plant vigor and plant health which enables to
estimate final crop yield. Current experiment was conducted to acquire high resolution …