Current state of hyperspectral remote sensing for early plant disease detection: A review

A Terentev, V Dolzhenko, A Fedotov, D Eremenko - Sensors, 2022 - mdpi.com
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 …

Fusarium Head Blight on Wheat: Biology, Modern Detection and Diagnosis and Integrated Disease Management

E Alisaac, AK Mahlein - Toxins, 2023 - mdpi.com
Fusarium head blight (FHB) is a major threat for wheat production worldwide. Most reviews
focus on Fusarium graminearum as a main causal agent of FHB. However, different …

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 …

From visual estimates to fully automated sensor-based measurements of plant disease severity: status and challenges for improving accuracy

CH Bock, JGA Barbedo, EM Del Ponte… - Phytopathology …, 2020 - Springer
The severity of plant diseases, traditionally the proportion of the plant tissue exhibiting
symptoms, is a key quantitative variable to know for many diseases and is prone to error …

Automatic evaluation of wheat resistance to fusarium head blight using dual mask-RCNN deep learning frameworks in computer vision

WH Su, J Zhang, C Yang, R Page, T Szinyei… - Remote sensing, 2020 - mdpi.com
In many regions of the world, wheat is vulnerable to severe yield and quality losses from the
fungus disease of Fusarium head blight (FHB). The development of resistant cultivars is one …

Detection of fusarium head blight in wheat using hyperspectral data and deep learning

AK Rangarajan, RL Whetton, AM Mouazen - Expert Systems with …, 2022 - Elsevier
Early diagnosis of fusarium head blight (FHB) presence and intensity in wheat can assist
decision support for reducing disease spread and minimizing mycotoxin contamination in …

Comparison and Combination of Thermal, Fluorescence, and Hyperspectral Imaging for Monitoring Fusarium Head Blight of Wheat on Spikelet Scale

AK Mahlein, E Alisaac, A Al Masri, J Behmann… - Sensors, 2019 - mdpi.com
Optical sensors have shown high capabilities to improve the detection and monitoring of
plant disease development. This study was designed to compare the feasibility of different …

Detection of fusarium head blight in wheat under field conditions using a hyperspectral camera and machine learning

MB Almoujahed, AK Rangarajan, RL Whetton… - … and Electronics in …, 2022 - Elsevier
Fusarium head blight (FHB) is among the most devastating fungal diseases in cereal crops,
reducing yield, and affecting human and livestock health through the production of …

Detection of fusarium head blight in wheat using a deep neural network and color imaging

R Qiu, C Yang, A Moghimi, M Zhang, BJ Steffenson… - Remote Sensing, 2019 - mdpi.com
Fusarium head blight (FHB) is a devastating disease of wheat worldwide. In addition to
reducing the yield of the crop, the causal pathogens also produce mycotoxins that can …

Use of hyperspectral imaging as a tool for Fusarium and deoxynivalenol risk management in cereals: A review

A Femenias, F Gatius, AJ Ramos, V Sanchis, S Marín - Food Control, 2020 - Elsevier
Hyperspectral imaging (HSI) is an emergent, rapid, cost-effective and non-destructive
technique in which the spectral data are obtained for each pixel location in a sample's …