Automatic identification and monitoring of plant diseases using unmanned aerial vehicles: A review

K Neupane, F Baysal-Gurel - Remote Sensing, 2021 - mdpi.com
Disease diagnosis is one of the major tasks for increasing food production in agriculture.
Although precision agriculture (PA) takes less time and provides a more precise application …

Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress

A Lowe, N Harrison, AP French - Plant methods, 2017 - Springer
This review explores how imaging techniques are being developed with a focus on
deployment for crop monitoring methods. Imaging applications are discussed in relation to …

Recognition of rice leaf diseases and wheat leaf diseases based on multi-task deep transfer learning

Z Jiang, Z Dong, W Jiang, Y Yang - Computers and Electronics in …, 2021 - Elsevier
More than two-thirds of human in the world view rice or wheat as their diet, rice and wheat
are grown in some regions of China and other countries in Asian. However, a variety of …

[HTML][HTML] High-throughput phenoty**: Breaking through the bottleneck in future crop breeding

P Song, J Wang, X Guo, W Yang, C Zhao - The Crop Journal, 2021 - Elsevier
With the rapid development of genetic analysis techniques and crop population size,
phenoty** has become the bottleneck restricting crop breeding. Breaking through this …

[HTML][HTML] A review of neural networks in plant disease detection using hyperspectral data

K Golhani, SK Balasundram, G Vadamalai… - Information Processing …, 2018 - Elsevier
This paper reviews advanced Neural Network (NN) techniques available to process
hyperspectral data, with a special emphasis on plant disease detection. Firstly, we provide a …

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 …

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 …

[PDF][PDF] Application of remote sensing methods in agriculture

M Wójtowicz, A Wójtowicz… - … in biometry and crop …, 2016 - researchgate.net
With advances in satellite, airborne and ground based remote sensing, reflectance data are
increasingly being used in agriculture. This paper reviews various remote sensing methods …

New spectral index for detecting wheat yellow rust using Sentinel-2 multispectral imagery

Q Zheng, W Huang, X Cui, Y Shi, L Liu - Sensors, 2018 - mdpi.com
Yellow rust is one of the most destructive diseases for winter wheat and has led to a
significant decrease in winter wheat quality and yield. Identifying and monitoring yellow rust …