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2020 – today
- 2021
- [j5]Daniel Wallach, Taru Palosuo
, Peter J. Thorburn
The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise. Environ. Model. Softw. 145: 105206 (2021) - 2020
- [j4]Jared Fowler, François Waldner
All pixels are useful, but some are more useful: Efficient in situ data collection for crop-type mapping using sequential exploration methods. Int. J. Appl. Earth Obs. Geoinformation 91: 102114 (2020) - [j3]Liya Zhao
Combining Fractional Cover Images with One-Class Classifiers Enables Near Real-Time Monitoring of Fallows in the Northern Grains Region of Australia. Remote. Sens. 12(8): 1337 (2020)
2010 – 2019
- 2019
- [j2]François Waldner
Roadside collection of training data for cropland mapping is viable when environmental and management gradients are surveyed. Int. J. Appl. Earth Obs. Geoinformation 80: 82-93 (2019) - 2014
- [j1]Dean P. Holzworth, Neil I. Huth, Peter G. de Voil, Eric J. Zurcher
APSIM - Evolution towards a new generation of agricultural systems simulation. Environ. Model. Softw. 62: 327-350 (2014)
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last updated on 2024-10-07 21:21 CEST by the dblp team
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