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)

Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed. - François Waldner; Nicolas Bellemans; Zvi Hochman; Terence Newby; Diego de Abelleyra; Santiago R. Verón; Sergey A. Bartalev; Mykola Lavreniuk; Nataliia Kussul; Guerric le Maire; Margareth Simões; Sergii Skakun; et al. (Int. J. Appl. Earth Obs. Geoinformation, 2019)

All pixels are useful, but some are more useful: Efficient in situ data collection for crop-type mapping using sequential exploration methods. - Jared Fowler; François Waldner; Zvi Hochman (Int. J. Appl. Earth Obs. Geoinformation, 2020)

Combining Fractional Cover Images with One-Class Classifiers Enables Near Real-Time Monitoring of Fallows in the Northern Grains Region of Australia. - Liya Zhao; François Waldner; Peter F. Scarth; Benjamin Mack; Zvi Hochman (Remote. Sens., 2020)

The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise. - Daniel Wallach 001; Taru Palosuo; Peter J. Thorburn; Zvi Hochman; Emmanuelle Gourdain; Fety Andrianasolo; Senthold Asseng; Bruno Basso; Samuel Buis; Neil Crout; Camilla Dibari; Benjamin Dumont; et al. (Environ. Model. Softw., 2021)