Application of reflectance indices for remote sensing of plants and revealing actions of stressors

A Kior, V Sukhov, E Sukhova - Photonics, 2021 - mdpi.com
Environmental conditions are very changeable; fluctuations in temperature, precipitation,
illumination intensity, and other factors can decrease a plant productivity and crop. The …

Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methods

J Zhang, T Cheng, W Guo, X Xu, H Qiao, Y Xie, X Ma - Plant Methods, 2021 - Springer
Background To accurately estimate winter wheat leaf area index (LAI) using unmanned
aerial vehicle (UAV) hyperspectral imagery is crucial for crop growth monitoring, fertilization …

Synthetic Minority Over-sampling TEchnique (SMOTE) and Logistic Model Tree (LMT)-Adaptive Boosting algorithms for classifying imbalanced datasets of nutrient and …

AD Amirruddin, FM Muharam, MH Ismail… - … and Electronics in …, 2022 - Elsevier
The conventional method to quantify leaf biochemical properties (nutrients and chlorophylls)
is tedious, labour-intensive, and impractical for vast oil palm plantation areas. Spectral …

[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 …

Impact of drought associated with high temperatures on Coffea canephora plantations: a case study in Espírito Santo State, Brazil

LP Venancio, R Filgueiras, EC Mantovani… - Scientific Reports, 2020 - nature.com
Droughts are major natural disasters that affect many parts of the world all years and
recently affected one of the major conilon coffee-producing regions of the world in state of …

Hyperspectral remote sensing for assessment of chlorophyll sufficiency levels in mature oil palm (Elaeis guineensis) based on frond numbers: Analysis of decision …

AD Amirruddin, FM Muharam, MH Ismail… - … and electronics in …, 2020 - Elsevier
A common practice of chlorophyll (chl) determination has been using the chemical analysis
that is destructive and time-consuming. A current prospective alternative method such …

Quantifying leaf chlorophyll concentration of sorghum from hyperspectral data using derivative calculus and machine learning

S Bhadra, V Sagan, M Maimaitijiang… - Remote Sensing, 2020 - mdpi.com
Leaf chlorophyll concentration (LCC) is an important indicator of plant health, vigor,
physiological status, productivity, and nutrient deficiencies. Hyperspectral spectroscopy at …

A novel spectral index for estimation of relative chlorophyll content of sugar beet

J Zhang, H Tian, D Wang, H Li, AM Mouazen - Computers and Electronics …, 2021 - Elsevier
Fast and non-destructive estimation of canopy chlorophyll content from hyperspectral
sensing is essential to monitor the physiological status of vegetation or to estimate crop …

Hyperspectral estimation of canopy chlorophyll of winter wheat by using the optimized vegetation indices

X Zhang, H Sun, X Qiao, X Yan, M Feng, L Xiao… - … and Electronics in …, 2022 - Elsevier
The vegetation indices (VIs) derived from the different band combinations can be used for
monitoring crop quality traits. We conducted field experiments over two years time to …

Spectral subdomains and prior estimation of leaf structure improves PROSPECT inversion on reflectance or transmittance alone

L Spafford, G Le Maire, A MacDougall… - Remote Sensing of …, 2021 - Elsevier
Leaf biochemical and structural traits are vegetation characteristics related to various
physiological processes. Taking advantage of the physical relationship between optical …