An open access repository of images on plant health to enable the development of mobile disease diagnostics through machine learning and crowdsourcing. - David P. Hughes; Marcel Salathé (CoRR, 2015)

Using Deep Learning for Image-Based Plant Disease Detection. - Sharada Prasanna Mohanty; David P. Hughes; Marcel Salathé (CoRR, 2016)

Deep Adversarial Networks for Biomedical Image Segmentation Utilizing Unannotated Images. - Yizhe Zhang 001; Lin Yang 003; Jianxu Chen 001; Maridel Fredericksen; David P. Hughes; Danny Z. Chen (MICCAI (3), 2017)

SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation. - Yizhe Zhang 001; Lin Yang 003; Hao Zheng 006; Peixian Liang; Colleen Mangold; Raquel G. Loreto; David P. Hughes; Danny Z. Chen (MIDL, 2019)

On Optimal Crowd-Sensing Task Management in Developing Countries. - Andrea Coletta; Novella Bartolini; Gaia Maselli; David P. Hughes (PerCom Workshops, 2020)

AntVis: A web-based visual analytics tool for exploring ant movement data. - Tianxiao Hu; Hao Zheng 006; Chen Liang; Sirou Zhu; Natalie Imirzian; Yizhe Zhang 001; Chaoli Wang 001; David P. Hughes; Danny Z. Chen (Vis. Informatics, 2020)

A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting. - Maryam Tabar; Jared Gluck; Anchit Goyal; Fei Jiang; Derek Morr; Annalyse Kehs; Dongwon Lee 001; David P. Hughes; Amulya Yadav (KDD, 2021)

Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors. - Maryam Tabar; Dongwon Lee 001; David P. Hughes; Amulya Yadav (AAAI, 2022)

Optimal Deployment in Crowdsensing for Plant Disease Diagnosis in Developing Countries. - Andrea Coletta; Novella Bartolini; Gaia Maselli; Annalyse Kehs; Peter McCloskey; David P. Hughes (IEEE Internet Things J., 2022)