[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 …
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
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
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
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 …
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 …
tremendous damage to cultivated strawberry plants (Fragaria× ananassa Duch.). Examining …