A cucumber leaf disease severity classification method based on the fusion of DeepLabV3+ and U-Net

C Wang, P Du, H Wu, J Li, C Zhao, H Zhu - Computers and electronics in …, 2021 - Elsevier
Research on the recognition and segmentation of vegetable diseases in simple
environments based on deep learning has achieved a relative success. However, in complex …

Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review

B Zhang, W Huang, J Li, C Zhao, S Fan, J Wu… - Food Research …, 2014 - Elsevier
Appearance is a very important sensory quality attribute of fruits and vegetables, which can
influence not only their market value, consumer's preferences and choice but also their …

Crop phenomics: current status and perspectives

C Zhao, Y Zhang, J Du, X Guo, W Wen, S Gu… - Frontiers in plant …, 2019 - frontiersin.org
Reliable, automatic, multifunctional, and high-throughput phenotypic technologies are
increasingly considered important tools for rapid advancement of genetic gain in breeding …

Unmanned aerial vehicle remote sensing for field-based crop phenotyping: current status and perspectives

G Yang, J Liu, C Zhao, Z Li, Y Huang, H Yu… - Frontiers in plant …, 2017 - frontiersin.org
Phenotyping plays an important role in crop science research; the accurate and rapid
acquisition of phenotypic information of plants or cells in different environments is helpful for …

[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 …

Multiple classifier combination for recognition of wheat leaf diseases

Y Tian, C Zhao, S Lu, X Guo - Intelligent Automation & Soft …, 2011 - Taylor & Francis
Wheat industry is an important constituent of Northern China's overall agricultural economy.
Proper disease detection using computer vision and pattern recognition has being …

[HTML][HTML] High-throughput phenotyping: 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, phenotyping
has become the bottleneck restricting crop breeding. Breaking through this bottleneck …

High prevalence of hypervirulent Klebsiella pneumoniae infection in China: geographic distribution, clinical characteristics, and antimicrobial resistance

Y Zhang, C Zhao, Q Wang, X Wang… - Antimicrobial agents …, 2016 - journals.asm.org
Hypervirulent Klebsiella pneumoniae (hvKP) is traditionally defined by hypermucoviscosity,
but data based on genetic background are limited. Antimicrobial-resistant hvKP has been …

MTD-YOLO: Multi-task deep convolutional neural network for cherry tomato fruit bunch maturity detection

W Chen, M Liu, CJ Zhao, X Li, Y Wang - Computers and electronics in …, 2024 - Elsevier
In recent years, the escalating labor costs in agricultural production have emerged as a
major concern. The use of inspection robots to achieve automated inspection of fruit and fruit …

An overview of crop nitrogen status assessment using hyperspectral remote sensing: Current status and perspectives

…, R Pu, Z Li, H Li, X Xu, X Song, X Yang, C Zhao - European Journal of …, 2021 - Elsevier
Nitrogen (N) is significantly related to crop photosynthetic capacity. Over-and-under-application
of N fertilizers not only limits crop productivity but also leads to negative environment …