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A review of deep learning used in the hyperspectral image analysis for agriculture
C Wang, B Liu, L Liu, Y Zhu, J Hou, P Liu… - Artificial Intelligence …, 2021 - Springer
Hyperspectral imaging is a non-destructive, nonpolluting, and fast technology, which can
capture up to several hundred images of different wavelengths and offer relevant spectral …
capture up to several hundred images of different wavelengths and offer relevant spectral …
Drones in plant disease assessment, efficient monitoring, and detection: A way forward to smart agriculture
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 …
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 …
deployment for crop monitoring methods. Imaging applications are discussed in relation to …
Machine learning for high-throughput stress phenoty** in plants
Advances in automated and high-throughput imaging technologies have resulted in a
deluge of high-resolution images and sensor data of plants. However, extracting patterns …
deluge of high-resolution images and sensor data of plants. However, extracting patterns …
[HTML][HTML] Advanced high-throughput plant phenoty** techniques for genome-wide association studies: A review
Q **
AK Mahlein - Plant disease, 2016 - Am Phytopath Society
Early and accurate detection and diagnosis of plant diseases are key factors in plant
production and the reduction of both qualitative and quantitative losses in crop yield. Optical …
production and the reduction of both qualitative and quantitative losses in crop yield. Optical …
[HTML][HTML] 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 …
From visual estimates to fully automated sensor-based measurements of plant disease severity: status and challenges for improving accuracy
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 …
symptoms, is a key quantitative variable to know for many diseases and is prone to error …
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 …
Challenges and opportunities in machine-augmented plant stress phenoty**
Plant stress phenoty** is essential to select stress-resistant varieties and develop better
stress-management strategies. Standardization of visual assessments and deployment of …
stress-management strategies. Standardization of visual assessments and deployment of …