Using Deep Learning for Image-Based Plant Disease Detection

Machine Learning for High-Throughput Stress Phenotyping in Plants

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

ImageNet Large Scale Visual Recognition Challenge

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

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Integrating SOMs and a Bayesian Classifier for Segmenting Diseased Plants in Uncontrolled Environments

(2014) Deny Lizbeth Hernández-Rabadán et al.   TheScientificWorldJOURNAL

Threat to future global food security from climate change and ozone air pollution

(2014) Amos P. K. Tai et al.   Nature Climate Change

Comparison of two aerial imaging platforms for identification of Huanglongbing-infected citrus trees

(2013) Francisco Garcia-Ruiz et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

On the use of depth camera for 3D phenotyping of entire plants

(2012) Yann Chéné et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A Comparative Study on Application of Computer Vision and Fluorescence Imaging Spectroscopy for Detection of Huanglongbing Citrus Disease in the USA and Brazil

(2012) Caio B. Wetterich et al.   Journal of Spectroscopy

Visible-near infrared spectroscopy for detection of Huanglongbing in citrus orchards

(2011) Sindhuja Sankaran et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

The Pascal Visual Object Classes (VOC) Challenge

(2009) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Speeded-Up Robust Features (SURF)

(2008) Herbert Bay et al.   COMPUTER VISION AND IMAGE UNDERSTANDING