[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 …

[HTML][HTML] Assessing mangrove leaf traits under different pest and disease severity with hyperspectral imaging spectroscopy

X Jiang, J Zhen, J Miao, D Zhao, J Wang, S Jia - Ecological Indicators, 2021 - Elsevier
Hyperspectral imaging data have been rarely focused on studies of mangrove pests and
diseases. With leaf hyperspectral imaging data, this study aims to extract the sensitive …

Rice leaf chlorophyll content estimation using UAV-based spectral images in different regions

S Ban, W Liu, M Tian, Q Wang, T Yuan, Q Chang, L Li - Agronomy, 2022 - mdpi.com
Estimation of crop biophysical and biochemical characteristics is the key element for crop
growth monitoring with remote sensing. With the application of unmanned aerial vehicles …

Deep learning assisted continuous wavelet transform-based spectrogram for the detection of chlorophyll content in potato leaves

R Zhao, L An, W Tang, D Gao, L Qiao, M Li… - … and Electronics in …, 2022 - Elsevier
Visible and near-infrared spectroscopy is a nondestructive method for the chlorophyll
content detection of potato crops, in which effective feature extraction is a crucial issue for …

Spatial-spectral feature extraction for in-field chlorophyll content estimation using hyperspectral imaging

R Zhao, W Tang, M Liu, N Wang, H Sun, M Li… - Biosystems …, 2024 - Elsevier
In-situ leaf chlorophyll content (LCC) estimation based on hyperspectral imaging (HSI) is
crucial to track the growth status of crops for field management. However, spatial and …

Spectroscopic determination of chlorophyll content in sugarcane leaves for drought stress detection

J Gai, J Wang, S Xie, L Xiang, Z Wang - Precision Agriculture, 2024 - Springer
Drought is a major abiotic stress that affects the productivity of sugarcane worldwide. Water
deficiency during sugarcane growth will lead to a reduction in leaf pigment content, such as …

Detection of chlorophyll content based on optical properties of maize leaves

W Pan, X Cheng, R Du, X Zhu, W Guo - Spectrochimica Acta Part A …, 2024 - Elsevier
The chlorophyll content reflects plants' photosynthetic capacity, growth stage, and nitrogen
status. Maize is one of the three widely planted gain crops in the world. In order to offer …

Improving the accuracy of stripping voltammetry detection of Cd2+ and Pb2+ in the presence of Cu2+ and Zn2+ by machine learning: Understanding and inhibiting the …

N Liu, W Ye, G Liu, G Zhao - Analytica Chimica Acta, 2022 - Elsevier
The application of square-wave anodic stripping voltammetry (SWASV) for the accurate
detection of Cd 2+ and Pb 2+ in soils presents tremendous challenges because of the poor …

Growth stages classification of potato crop based on analysis of spectral response and variables optimization

N Liu, R Zhao, L Qiao, Y Zhang, M Li, H Sun, Z Xing… - Sensors, 2020 - mdpi.com
Potato is the world's fourth-largest food crop, following rice, wheat, and maize. Unlike other
crops, it is a typical root crop with a special growth cycle pattern and underground tubers …

A Discriminative Model for Early Detection of Anthracnose in Strawberry Plants Based on Hyperspectral Imaging Technology

C Liu, Y Cao, E Wu, R Yang, H Xu, Y Qiao - Remote Sensing, 2023 - mdpi.com
Strawberry anthracnose, caused by Colletotrichum spp., is a major disease that causes
tremendous damage to cultivated strawberry plants (Fragaria× ananassa Duch.). Examining …