Cargando…

Current State of Hyperspectral Remote Sensing for Early Plant Disease Detection: A Review

The development of hyperspectral remote sensing equipment, in recent years, has provided plant protection professionals with a new mechanism for assessing the phytosanitary state of crops. Semantically rich data coming from hyperspectral sensors are a prerequisite for the timely and rational impleme...

Descripción completa

Detalles Bibliográficos
Autores principales:	Terentev, Anton, Dolzhenko, Viktor, Fedotov, Alexander, Eremenko, Danila
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839015/ https://www.ncbi.nlm.nih.gov/pubmed/35161504 http://dx.doi.org/10.3390/s22030757

Ejemplares similares

Can Metabolomic Approaches Become a Tool for Improving Early Plant Disease Detection and Diagnosis with Modern Remote Sensing Methods? A Review
por: Terentev, Anton, et al.
Publicado: (2023)

Meta-Analysis of the Detection of Plant Pigment Concentrations Using Hyperspectral Remotely Sensed Data
por: Huang, Jingfeng, et al.
Publicado: (2015)

Hyperspectral remote sensing: theory and applications
por: Pandey, Prem Chandra, et al.
Publicado: (2020)

Remote Sensing Performance Enhancement in Hyperspectral Images
por: Kwan, Chiman
Publicado: (2018)

Spectral-spatial classification of hyperspectral remote sensing images
por: Benediktsson, Jon Atli, et al.
Publicado: (2015)

Hyperspectral remote sensing of tropical and sub-tropical forests /
Publicado: (2008)

ISBDD Model for Classification of Hyperspectral Remote Sensing Imagery
por: Li, Na, et al.
Publicado: (2018)

Estimation of Soil Arsenic Content with Hyperspectral Remote Sensing
por: Wei, Lifei, et al.
Publicado: (2020)

Correlating species and spectral diversities using hyperspectral remote sensing in early‐successional fields
por: Aneece, Itiya P., et al.
Publicado: (2017)

A “Skylight” Simulator for HWIL Simulation of Hyperspectral Remote Sensing
por: Zhao, Huijie, et al.
Publicado: (2017)

Abnormal Target Detection Method in Hyperspectral Remote Sensing Image Based on Convolution Neural Network
por: Liu, Yun, et al.
Publicado: (2022)

A Systematic Review of Hardware-Accelerated Compression of Remotely Sensed Hyperspectral Images
por: Altamimi, Amal, et al.
Publicado: (2021)

UAVs, Hyperspectral Remote Sensing, and Machine Learning Revolutionizing Reef Monitoring
por: Parsons, Mark, et al.
Publicado: (2018)

An Approach for the Customized High-Dimensional Segmentation of Remote Sensing Hyperspectral Images
por: Priego, Blanca, et al.
Publicado: (2019)

ROI-Based On-Board Compression for Hyperspectral Remote Sensing Images on GPU
por: Giordano, Rossella, et al.
Publicado: (2017)

Hyperspectral remote sensing for tobacco quality estimation, yield prediction, and stress detection: A review of applications and methods
por: Zhang, Mingzheng, et al.
Publicado: (2023)

Predicting Spatial Variations in Soil Nutrients with Hyperspectral Remote Sensing at Regional Scale
por: Song, Ying-Qiang, et al.
Publicado: (2018)

A Satellite-Based Imaging Instrumentation Concept for Hyperspectral Thermal Remote Sensing
por: Udelhoven, Thomas, et al.
Publicado: (2017)

Adoption of Machine Learning in Intelligent Terrain Classification of Hyperspectral Remote Sensing Images
por: Li, Yanyi, et al.
Publicado: (2020)

Spatial Spectral Band Selection for Enhanced Hyperspectral Remote Sensing Classification Applications
por: Torres, Ruben Moya, et al.
Publicado: (2020)

Semantic Segmentation of Hyperspectral Remote Sensing Images Based on PSE-UNet Model
por: Li, Jiaju, et al.
Publicado: (2022)

A New SCAE-MT Classification Model for Hyperspectral Remote Sensing Images
por: Chen, Huayue, et al.
Publicado: (2022)

SpectralMAE: Spectral Masked Autoencoder for Hyperspectral Remote Sensing Image Reconstruction
por: Zhu, Lingxuan, et al.
Publicado: (2023)

Hyperspectral Remote Sensing for Phenotyping the Physiological Drought Response of Common and Tepary Bean
por: Wong, Christopher YS, et al.
Publicado: (2023)

Sensitivity of a Ratio Vegetation Index Derived from Hyperspectral Remote Sensing to the Brown Planthopper Stress on Rice Plants
por: Tan, Ye, et al.
Publicado: (2019)

Hyperspectral remote sensing to detect leafminer‐induced stress in bok choy and spinach according to fertilizer regime and timing
por: Nguyen, Hoang DD, et al.
Publicado: (2020)

Spectral Unmixing of Hyperspectral Remote Sensing Imagery via Preserving the Intrinsic Structure Invariant
por: Shao, Yang, et al.
Publicado: (2018)

Inversion modeling of japonica rice canopy chlorophyll content with UAV hyperspectral remote sensing
por: Cao, Yingli, et al.
Publicado: (2020)

Estimation of Crop Growth Parameters Using UAV-Based Hyperspectral Remote Sensing Data
por: Tao, Huilin, et al.
Publicado: (2020)

Lightweight 3D Dense Autoencoder Network for Hyperspectral Remote Sensing Image Classification
por: Bai, Yang, et al.
Publicado: (2023)

Assessing Steady-state Fluorescence and PRI from Hyperspectral Proximal Sensing as Early Indicators of Plant Stress: The Case of Ozone Exposure
por: Meroni, Michele, et al.
Publicado: (2008)

Hyperspectral Remote Sensing Image Classification Based on Maximum Overlap Pooling Convolutional Neural Network
por: Li, Chenming, et al.
Publicado: (2018)

Lithological information extraction and classification in hyperspectral remote sensing data using Backpropagation Neural Network
por: Wang, Zhengyang, et al.
Publicado: (2021)

Assessment of Polymer Atmospheric Correction Algorithm for Hyperspectral Remote Sensing Imagery over Coastal Waters
por: Soppa, Mariana A., et al.
Publicado: (2021)

Epidemic of Wheat Stripe Rust Detected by Hyperspectral Remote Sensing and Its Potential Correlation with Soil Nitrogen during Latent Period
por: Chen, Jing, et al.
Publicado: (2022)

Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning
por: Nguyen, Canh, et al.
Publicado: (2021)

Adaptive Grouping Distributed Compressive Sensing Reconstruction of Plant Hyperspectral Data
por: Xu, Ping, et al.
Publicado: (2017)

EcoSpec: Highly Equipped Tower-Based Hyperspectral and Thermal Infrared Automatic Remote Sensing System for Investigating Plant Responses to Environmental Changes
por: Hamada, Yuki, et al.
Publicado: (2020)

Application of hyperspectral remote sensing for supplementary investigation of polymetallic deposits in Huaniushan ore region, northwestern China
por: Wan, Yu-qing, et al.
Publicado: (2021)

Initial Performance Analysis of the At-Altitude Radiance Ratio Method for Reflectance Conversion of Hyperspectral Remote Sensing Data
por: DeCoffe, Luke J. R., et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_15qottgdutqodiglscuihbfj2o