Deep Learning-Based Phenotyping System With Glocal Description of Plant Anomalies and Symptoms

Factors influencing the use of deep learning for plant disease recognition

(2018) Jayme G.A. Barbedo   BIOSYSTEMS ENGINEERING

Deep learning models for plant disease detection and diagnosis

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

Translating High-Throughput Phenotyping into Genetic Gain

(2018) José Luis Araus et al.   TRENDS IN PLANT SCIENCE

Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification

(2018) Jayme Garcia Arnal Barbedo   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives

(2018) Asheesh Kumar Singh et al.   TRENDS IN PLANT SCIENCE

High-Performance Deep Neural Network-Based Tomato Plant Diseases and Pests Diagnosis System With Refinement Filter Bank

(2018) Alvaro F. Fuentes et al.   Frontiers in Plant Science

Deep Visual-Semantic Alignments for Generating Image Descriptions

(2017) Andrej Karpathy et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge

(2017) Oriol Vinyals et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Long-Term Recurrent Convolutional Networks for Visual Recognition and Description

(2017) Jeff Donahue et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition

(2017) Alvaro Fuentes et al.   SENSORS

X-FIDO: An Effective Application for Detecting Olive Quick Decline Syndrome with Deep Learning and Data Fusion

(2017) Albert C. Cruz et al.   Frontiers in Plant Science

Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures

(2016) Raffaella Bernardi et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Machine Learning for High-Throughput Stress Phenotyping in Plants

(2016) Arti Singh et al.   TRENDS IN PLANT SCIENCE

Using Deep Learning for Image-Based Plant Disease Detection

(2016) Sharada P. Mohanty et al.   Frontiers in Plant Science

Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification

(2016) Srdjan Sladojevic et al.   Computational Intelligence and Neuroscience

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Image-based phenotyping of plant disease symptoms

(2015) Andrew M. Mutka et al.   Frontiers in Plant Science

Advanced methods of plant disease detection. A review

(2014) Federico Martinelli et al.   Agronomy for Sustainable Development

Crop losses due to diseases and their implications for global food production losses and food security

(2012) Serge Savary et al.   Food Security