Crop disease identification and interpretation method based on multimodal deep learning

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

(2020) Fangming Zhong et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

The global burden of pathogens and pests on major food crops

(2019) Serge Savary et al.   Nature Ecology & Evolution

Fine-Grained Visual-Textual Representation Learning

(2019) Xiangteng He et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild

(2018) Artzai Picon et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning models for plant disease detection and diagnosis

(2018) Konstantinos P. Ferentinos   COMPUTERS AND ELECTRONICS IN AGRICULTURE

An explainable deep machine vision framework for plant stress phenotyping

(2018) Sambuddha Ghosal et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A recognition method for cucumber diseases using leaf symptom images based on deep convolutional neural network

(2018) Juncheng Ma et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE