Assessing a mobile-based deep learning model for plant disease surveillance. - Amanda Ramcharan; Peter McCloskey; Kelsee Baranowski; Neema Mbilinyi; Latifa Mrisho; Mathias Ndalahwa; James Legg; David Hughes (CoRR, 2018)

Multi-Scale Remote Sensing for Fall Armyworm Monitoring and Early Warning Systems. - Maria Luisa Buchaillot; Jill E. Cairns; Esnath Hamadziripi; Kenneth Wilson; David Hughes; John Chelal; Peter McCloskey; Annalyse Kehs; Nicholas Clinton; Keith Cressman; José Luis Araus; Shawn C. Kefauver (IGARSS, 2020)

Measuring adherence, acceptability and likability of an artificial-intelligence-based, gamified phone application to improve the quality of dietary choices of adolescents in Ghana and Vietnam: Protocol of a randomized controlled pilot test. - Bianca C. Braga; Alejandra Arrieta; Boateng Bannerman; Frank Doyle; Gloria Folson; Rohit Gangupantulu; Nga Thu Hoang; Phuong Nam Huynh; Bastien Koch; Peter McCloskey; Lan Mai Tran; Trang Huyen T. Tran; et al. (Frontiers Digit. Health, 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)

Regional Monitoring of Fall Armyworm (FAW) Using Early Warning Systems. - Maria Luisa Buchaillot; Jill E. Cairns; Esnath Hamadziripi; Kenneth Wilson; David Hughes; John Chelal; Peter McCloskey; Annalyse Kehs; Nicholas Clinton; José Luis Araus; Shawn C. Kefauver (Remote. Sens., 2022)