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 …

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 …

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 …

Tomato leaf diseases classification based on leaf images: a comparison between classical machine learning and deep learning methods

L Tan, J Lu, H Jiang - AgriEngineering, 2021 - mdpi.com
Tomato production can be greatly reduced due to various diseases, such as bacterial spot,
early blight, and leaf mold. Rapid recognition and timely treatment of diseases can minimize …

Artificial intelligence in tomato leaf disease detection: a comprehensive review and discussion

R Thangaraj, S Anandamurugan, P Pandiyan… - Journal of Plant …, 2022 - Springer
Accurate and fast tomato plant disease identification is significant to enhance its sustainable
agricultural productivity. In the conventional technique, human experts in the field of …

Hyperspectral sensing of plant diseases: Principle and methods

L Wan, H Li, C Li, A Wang, Y Yang, P Wang - Agronomy, 2022 - mdpi.com
Pathogen infection has greatly reduced crop production. As the symptoms of diseases
usually appear when the plants are infected severely, rapid identification approaches are …

Hyperspectral imagery applications for precision agriculture-a systemic survey

PK Sethy, C Pandey, YK Sahu, SK Behera - Multimedia Tools and …, 2022 - Springer
Hyperspectral imaging has been extensively investigated as an emerging, promising
technique for measuring the quality and protection of horticultural and agricultural products …

[HTML][HTML] Remote sensing and precision agriculture technologies for crop disease detection and management with a practical application example

C Yang - Engineering, 2020 - Elsevier
Remote sensing technology has long been used to detect and map crop diseases. Airborne
and satellite imagery acquired during growing seasons can be used not only for early …

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 …

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 …