The GP problem: Quantifying gene-to-phenotype relationships. - Mark Cooper; Scott C. Chapman; Dean W. Podlich; Graeme L. Hammer (Silico Biol., 2002)

Exploring profit - Sustainability trade-offs in cropping systems using evolutionary algorithms. - Peter deVoil; Walter A. H. Rossing; Graeme L. Hammer (Environ. Model. Softw., 2006)

APSIM - Evolution towards a new generation of agricultural systems simulation. - Dean P. Holzworth; Neil I. Huth; Peter G. de Voil; Eric J. Zurcher; Neville I. Herrmann; Greg McLean; Karine Chenu; Erik J. van Oosterom; Valerie O. Snow; Chris Murphy; Andrew D. Moore; Hamish E. Brown; et al. (Environ. Model. Softw., 2014)

Sorghum Biomass Prediction Using Uav-Based Remote Sensing Data and Crop Model Simulation. - Ali Masjedi; Jieqiong Zhao; Addie M. Thompson; Kai-Wei Yang; John E. Flatt; Melba M. Crawford; David S. Ebert; Mitchell R. Tuinstra; Graeme L. Hammer; Scott C. Chapman (IGARSS, 2018)

Determining Crop Growth Dynamics in Sorghum Breeding Trials Through Remote and Proximal Sensing Technologies. - Andries B. Potgieter; James E. M. Watson; Mark Eldridge; Kenneth Laws; Barbara George-Jaeggli; Colleen Hunt; Andrew Borrell; Emma Mace; Scott C. Chapman; David R. Jordan; Graeme L. Hammer (IGARSS, 2018)

Predicting Wheat Yield at the Field Scale by Combining High-Resolution Sentinel-2 Satellite Imagery and Crop Modelling. - Yan Zhao; Andries B. Potgieter; Miao Zhang 002; Bingfang Wu; Graeme L. Hammer (Remote. Sens., 2020)

A High-Throughput Phenotyping Pipeline for Rapid Evaluation of Morphological and Physiological Crop Traits Across Large Fields. - Sumanta Das; Sean Reynolds Massey-Reed; Jenny Mahuika; James E. M. Watson; Celso Cordova; Loren Otto; Yan Zhao; Scott C. Chapman; Barbara George-Jaeggli; David R. Jordan; Graeme L. Hammer; Andries B. Potgieter (IGARSS, 2022)

Crop Type Prediction Utilising a Long Short-Term Memory with a Self-Attention for Winter Crops in Australia. - Dung Nguyen; Yan Zhao; Yifan Zhang; Anh Ngoc-Lan Huynh; Fred Roosta; Graeme L. Hammer; Scott C. Chapman; Andries B. Potgieter (IGARSS, 2022)

Advances in the Study of Biochemical, Morphological and Physiological Traits of Wheat and Sorghum Crops in Australia Using Hyperspectral Data and Machine Learning. - Andries B. Potgieter; Carlos Camino; Tomas Poblete; X. Zhi; Sean Reynolds-Massey-Reed; Yan Zhao; Anirudh Belwalkar; J. Ruizhu; Barbara George-Jaeggli; Scott C. Chapman; David R. Jordan; A. Wu; et al. (IGARSS, 2023)