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 …
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
Developing accurate lake water level (WL) forecasting models is important for flood control,
shoreline maintenance and sustainable water resources planning and management. In this …
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
Background To accurately estimate winter wheat leaf area index (LAI) using unmanned
aerial vehicle (UAV) hyperspectral imagery is crucial for crop growth monitoring, fertilization …
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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
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 …
recognition and classification of plants are of great significance to ecological and …