Matthew Tom Harrison

11 papers A* 1A 1Journal 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Global sensitivity analyses prior to parameter calibration significantly improves prediction quality.
Comput. Electron. Agric.
Chunhu Wang, Matthew Tom Harrison, Hamish Brown, Yongliang Qiao, Xiaogang Yin, Rui Yang, Yunbo Zhang, Meixue Zhou, Ke Liu
2025 J jnl
Uncovering environmental implications of historical stewardship of Japanese Moso Bamboo (Phyllostachys edulis) forests: a review using a multivariate imputation approach.
Ecol. Informatics
Daniel Forster, Matthew Tom Harrison, Minaco Adachi
2024 J jnl
Integration of Drone and Satellite Imagery Improves Agricultural Management Agility.
Remote. Sens.
Michael Gbenga Ogungbuyi, Caroline Mohammed, Andrew M. Fischer, Darren Turner, Jason Whitehead, Matthew Tom Harrison
2024 J jnl
Irrigation with Artificial Intelligence: Problems, Premises, Promises.
Hum. Centric Intell. Syst.
Hanyu Wei, Wen Xu, Byeong Kang, Rowan Eisner, Albert Muleke, Daniel Rodriguez, Peter deVoil, Victor Oscar Sadras, Marta Monjardino, Matthew Tom Harrison
2023 J jnl
Advancing Skyborne Technologies and High-Resolution Satellites for Pasture Monitoring and Improved Management: A Review.
Remote. Sens.
Michael Gbenga Ogungbuyi, Caroline Mohammed, Iffat Ara, Andrew M. Fischer, Matthew Tom Harrison
2023 A conf
Optimizing Crop Management with Reinforcement Learning and Imitation Learning.
AAMAS
Ran Tao, Pan Zhao, Jing Wu, Nicolas F. Martin, Matthew Tom Harrison, Carla Sofia Santos Ferreira, Zahra Kalantari, Naira Hovakimyan
2023 A* conf
Optimizing Crop Management with Reinforcement Learning and Imitation Learning.
IJCAI
Ran Tao, Pan Zhao, Jing Wu, Nicolas F. Martin, Matthew Tom Harrison, Carla Sofia Santos Ferreira, Zahra Kalantari, Naira Hovakimyan
2023 J jnl
Residual correlation and ensemble modelling to improve crop and grassland models.
Environ. Model. Softw.
Renata Sándor, Fiona Ehrhardt, Peter Grace, Sylvie Recous, Pete Smith, Val Snow, Jean-François Soussana, Bruno Basso, Arti Bhatia, Lorenzo Brilli, Jordi Doltra, Christopher D. Dorich, Luca Doro, Nuala Fitton, Brian Grant, Matthew Tom Harrison, Ute Skiba, Miko U. F. Kirschbaum, Katja Klumpp, Patricia Laville, Joël Léonard, Raphaël Martin, Raia Silvia Massad, Andrew D. Moore, Vasileios Myrgiotis, Elizabeth Pattey, Susanne Rolinski, Joanna Sharp, Ward N. Smith, Lianhai Wu, Qing Zhang, Gianni Bellocchi
2022 J jnl
Optimizing Crop Management with Reinforcement Learning and Imitation Learning.
CoRR
Ran Tao, Pan Zhao, Jing Wu, Nicolas F. Martin, Matthew Tom Harrison, Carla Sofia Santos Ferreira, Zahra Kalantari, Naira Hovakimyan
2021 J jnl
Estimating Pasture Biomass Using Sentinel-2 Imagery and Machine Learning.
Remote. Sens.
Yun Chen, Juan Guerschman, Yuri Shendryk, Dave Henry, Matthew Tom Harrison
2019 J jnl
Simple, efficient and robust techniques for automatic multi-objective function parameterisation: Case studies of local and global optimisation using APSIM.
Environ. Model. Softw.
Matthew Tom Harrison, Pier Paolo Roggero, Laura Zavattaro