Electrical impedance spectroscopy (EIS) in plant roots research: a review

Y Liu, DM Li, J Qian, B Di, G Zhang, ZH Ren - Plant Methods, 2021 - Springer
Nondestructive testing of plant roots is a hot topic in recent years. The traditional
measurement process is time-consuming and laborious, and it is impossible to analyze the …

Coupling a hybrid CNN-LSTM deep learning model with a boundary corrected maximal overlap discrete wavelet transform for multiscale lake water level forecasting

R Barzegar, MT Aalami, J Adamowski - Journal of Hydrology, 2021 - Elsevier
Developing accurate lake water level (WL) forecasting models is important for flood control,
shoreline maintenance and sustainable water resources planning and management. In this …

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 …

Leaf area index estimation algorithm for GF-5 hyperspectral data based on different feature selection and machine learning methods

Z Chen, K Jia, C Xiao, D Wei, X Zhao, J Lan, X Wei… - Remote Sensing, 2020 - mdpi.com
Leaf area index (LAI) is an essential vegetation parameter that represents the light energy
utilization and vegetation canopy structure. As the only in-operation hyperspectral satellite …

Spectral features selection and classification of oil palm leaves infected by Basal stem rot (BSR) disease using dielectric spectroscopy

AY Khaled, S Abd Aziz, SK Bejo, NM Nawi… - … and Electronics in …, 2018 - Elsevier
Basal stem rot (BSR) is a prominent plant disease caused by Ganoderma boninense fungus,
which infects oil palm plantations leading to large economic losses in palm oil production …

A particle swarm optimization based ensemble for vegetable crop disease recognition

A Chaudhary, R Thakur, S Kolhe, R Kamal - Computers and Electronics in …, 2020 - Elsevier
Ensemble methods give better performance compared to a single machine learning
algorithm. Vote is one of the best ensembles. Vote merges predictions from Simple Logistics …

BSense: A parallel Bayesian hyperparameter optimized Stacked ensemble model for breast cancer survival prediction

P Kaur, A Singh, I Chana - Journal of Computational Science, 2022 - Elsevier
Breast Cancer is a disease with high risk and mortality rate associated with female health.
The multi-omics data having genome, proteome, transcriptome, metabolome data, and …

RETRACTED ARTICLE: Neutrosophic Cognitive Maps (NCM) based feature selection approach for early leaf disease diagnosis

FD Shadrach, G Kandasamy - Journal of Ambient Intelligence and …, 2021 - Springer
Early diagnosis of leaf ailments is the most necessary and prominent way to increase
agriculture production. In this paper, a computer-aided approach for classifying the ailments …

Development of classification models for basal stem rot (BSR) disease in oil palm using dielectric spectroscopy

AY Khaled, S Abd Aziz, SK Bejo, NM Nawi… - Industrial Crops and …, 2018 - Elsevier
Basal stem rot (BSR) is the most destructive disease in oil palm plantations caused by
Ganoderma boninense fungus, leading to a major economic setback in palm oil production …

Review of plant leaf recognition

Z Wang, J Cui, Y Zhu - Artificial Intelligence Review, 2023 - Springer
Plants can be seen everywhere in daily life and are closely connected with our lives. The
recognition and classification of plants are of great significance to ecological and …