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 …
crucial for precision agriculture. Recently, traditional visual assessment technology has not …
Hyperspectral sensors and imaging technologies in phytopathology: state of the art
Plant disease detection represents a tremendous challenge for research and practical
applications. Visual assessment by human raters is time-consuming, expensive, and error …
applications. Visual assessment by human raters is time-consuming, expensive, and error …
Advanced methods of plant disease detection. A review
Plant diseases are responsible for major economic losses in the agricultural industry
worldwide. Monitoring plant health and detecting pathogen early are essential to reduce …
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
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 …
significant yield losses globally. Effective monitoring and accurate detection of yellow rust …
Unmanned aerial vehicles for high-throughput phenotyping and agronomic research
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 …
quality, high-volume crop data to accelerate crop improvement through breeding and to …
Global dimensions of plant virus diseases: current status and future perspectives
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 and human population pressures are driving rapid alterations in agricultural …
Climate change effects on pathogen emergence: Artificial intelligence to translate big data for mitigation
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 …
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 …
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
Flavescence dorée is a grapevine disease affecting European vineyards which has severe
economic consequences and containing its spread is therefore considered as a major …
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
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 …
precaution against its spread. However, the traditional method, relying on the disease …