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 …

Wheat yellow rust detection using UAV-based hyperspectral technology

A Guo, W Huang, Y Dong, H Ye, H Ma, B Liu, W Wu… - Remote Sensing, 2021 - mdpi.com
Yellow rust is a worldwide disease that poses a serious threat to the safety of wheat
production. Numerous studies on near-surface hyperspectral remote sensing at the leaf …

Detecting powdery mildew disease in squash at different stages using UAV-based hyperspectral imaging and artificial intelligence

J Abdulridha, Y Ampatzidis, P Roberts… - Biosystems …, 2020 - Elsevier
In this study hyperspectral imaging (380–1020 nm) and machine learning were utilised to
develop a technique for detecting different disease development stages (asymptomatic …

Plant breeding and management strategies to minimize the impact of water scarcity and biotic stress in cereal crops under Mediterranean conditions

N Pérez-Méndez, C Miguel-Rojas, JA Jimenez-Berni… - Agronomy, 2021 - mdpi.com
Wheat and rice are two main staple food crops that may suffer from yield losses due to
drought episodes that are increasingly impacted by climate change, in addition to new …

Leaf area index estimation under wheat powdery mildew stress by integrating UAV‑based spectral, textural and structural features

Y Liu, L An, N Wang, W Tang, M Liu, G Liu… - … and Electronics in …, 2023 - Elsevier
The infection of powdery mildew changes the internal physiological activity and external
morphology of winter wheat, resulting in damage to crop health. Leaf area index (LAI) is an …

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 …

[HTML][HTML] Monitoring of winter wheat stripe rust by collaborating canopy SIF with wavelet energy coefficients

K Ren, Y Dong, W Huang, A Guo, X Jing - Computers and electronics in …, 2023 - Elsevier
Stripe rust has caused tremendous damage to wheat quality and production. Disease-
specific factors revealing group structure and photosynthetic physiology contribute to high …

Strategies for the efficient estimation of soil organic matter in salt-affected soils through Vis-NIR spectroscopy: Optimal band combination algorithm and spectral …

Z Zhang, J Ding, C Zhu, J Wang, G Ma, X Ge, Z Li… - Geoderma, 2021 - Elsevier
Visible and near-infrared (Vis-NIR) spectroscopy is a cost-effective technique for alternative
soil physical and chemical analyses for estimating soil properties. The optimal band …

Identification of wheat yellow rust using spectral and texture features of hyperspectral images

A Guo, W Huang, H Ye, Y Dong, H Ma, Y Ren, C Ruan - Remote Sensing, 2020 - mdpi.com
Wheat yellow rust is one of the most destructive diseases in wheat production and
significantly affects wheat quality and yield. Accurate and non-destructive identification of …

Early detection of wheat yellow rust disease and its impact on terminal yield with multi-spectral uav-imagery

C Nguyen, V Sagan, J Skobalski, JI Severo - Remote Sensing, 2023 - mdpi.com
The food production system is vulnerable to diseases more than ever, and the threat is
increasing in an era of climate change that creates more favorable conditions for emerging …