Peter McCloskey

According to our database, Peter McCloskey authored at least 5 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

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

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, Duong Thuy T. Truong, Phuong H. Nguyen, David Hughes, Aulo Gelli

Frontiers Digit. Health, 2022

2020

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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2018

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