A review of advanced technologies and development for hyperspectral-based plant disease detection in the past three decades

N Zhang, G Yang, Y Pan, X Yang, L Chen, C Zhao - Remote Sensing, 2020 - mdpi.com
The detection, quantification, diagnosis, and identification of plant diseases is particularly
crucial for precision agriculture. Recently, traditional visual assessment technology has not …

Hyperspectral sensors and imaging technologies in phytopathology: state of the art

AK Mahlein, MT Kuska, J Behmann… - Annual review of …, 2018 - annualreviews.org
Plant disease detection represents a tremendous challenge for research and practical
applications. Visual assessment by human raters is time-consuming, expensive, and error …

Advanced methods of plant disease detection. A review

F Martinelli, R Scalenghe, S Davino, S Panno… - Agronomy for …, 2015 - Springer
Plant diseases are responsible for major economic losses in the agricultural industry
worldwide. Monitoring plant health and detecting pathogen early are essential to reduce …

A deep learning-based approach for automated yellow rust disease detection from high-resolution hyperspectral UAV images

X Zhang, L Han, Y Dong, Y Shi, W Huang, L Han… - Remote Sensing, 2019 - mdpi.com
Yellow rust in winter wheat is a widespread and serious fungal disease, resulting in
significant yield losses globally. Effective monitoring and accurate detection of yellow rust …

Unmanned aerial vehicles for high-throughput phenotyping and agronomic research

Y Shi, JA Thomasson, SC Murray, NA Pugh… - PloS one, 2016 - journals.plos.org
Advances in automation and data science have led agriculturists to seek real-time, high-
quality, high-volume crop data to accelerate crop improvement through breeding and to …

Global dimensions of plant virus diseases: current status and future perspectives

RAC Jones, RA Naidu - Annual review of virology, 2019 - annualreviews.org
Viral diseases provide a major challenge to twenty-first century agriculture worldwide.
Climate change and human population pressures are driving rapid alterations in agricultural …

Climate change effects on pathogen emergence: Artificial intelligence to translate big data for mitigation

KA Garrett, DP Bebber, BA Etherton… - Annual Review of …, 2022 - annualreviews.org
Plant pathology has developed a wide range of concepts and tools for improving plant
disease management, including models for understanding and responding to new risks from …

Drones in plant disease assessment, efficient monitoring, and detection: a way forward to smart agriculture

A Abbas, Z Zhang, H Zheng, MM Alami, AF Alrefaei… - Agronomy, 2023 - mdpi.com
Plant diseases are one of the major threats to global food production. Efficient monitoring
and detection of plant pathogens are instrumental in restricting and effectively managing the …

Detection of Flavescence dorée Grapevine Disease Using Unmanned Aerial Vehicle (UAV) Multispectral Imagery

J Albetis, S Duthoit, F Guttler, A Jacquin, M Goulard… - Remote Sensing, 2017 - mdpi.com
Flavescence dorée is a grapevine disease affecting European vineyards which has severe
economic consequences and containing its spread is therefore considered as a major …

Early detection of powdery mildew disease and accurate quantification of its severity using hyperspectral images in wheat

IH Khan, H Liu, W Li, A Cao, X Wang, H Liu, T Cheng… - Remote Sensing, 2021 - mdpi.com
Early detection of the crop disease using agricultural remote sensing is crucial as a
precaution against its spread. However, the traditional method, relying on the disease …