Zero- and few-shot learning for diseases recognition of Citrus aurantium L. using conditional adversarial autoencoders

PD2SE-Net: Computer-assisted plant disease diagnosis and severity estimation network

(2019) Qiaokang Liang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Detection of sick broilers by digital image processing and deep learning

(2019) Xiaolin Zhuang et al.   BIOSYSTEMS ENGINEERING

Citrus Pests and Diseases Recognition Model Using Weakly Dense Connected Convolution Network

(2019) Shuli Xing et al.   SENSORS

Detection of stored-grain insects using deep learning

(2018) Yufeng Shen et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection

(2018) Muhammad Sharif et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly

(2018) Yongqin Xian et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

An automated detection and classification of citrus plant diseases using image processing techniques: A review

(2018) Zahid Iqbal et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automatic Fruit Classification Using Deep Learning for Industrial Applications

(2018) M. Shamim Hossain et al.   IEEE Transactions on Industrial Informatics

Automatic recognition of quarantine citrus diseases

(2012) Georgina Stegmayer et al.   EXPERT SYSTEMS WITH APPLICATIONS