Home
KeyWords
Skills
Experience
Media
Education
Work History
Prizes
Grants
Research Exchange
Partners
Research Projects
Crop Modelling and Uncertainty
Linking Crop Models with Remote Sensing
Coding
Bestiapop Python package
Data Science
APSIM Applications
Communication
Research Papers
Conference & Poster Presentations
Talks List
Mentoring
PhD Supervision
Honours Supervision
CV
Contact
APSIM Next Generation
Calibrating APSIM for forage sorghum using remote sensing and field data under sub-optimal growth conditions
Can we used remote sensing to calibrate crop models?
Impact of crop management and environment on the spatio-temporal variance of potato yield at regional scale
We determine and quantify the main drivers of potato yield variability under irrigated conditions.
Implications of data aggregation method on crop model outputs – The case of irrigated potato systems in Tasmania, Australia
We evaluated the difference of yield and irrigation using input/output aggregation.
Crop-livestock adaptation to climate change based on modelling and remote-sensing
2020-ongoing
University of Entre Rios
2019 - Course Coordinator
Towards high crop productivity in agriculture based on multi-scale modelling and climate change impact studies
2019-ongoing
APSIM Potato model development - Mapping potato yield variability under diferent G*E*M scenarios in Tasmania
2018-2020
APSIM Potato model development - Mapping potato yield variability under diferent G*E*M scenarios in Tasmania
2018-2020
Improving the representation of soil productivity/constraints in existing DSS and modelling platforms
2019-ongoing
Bestiapop - A python package for climate data extraction, processing and visualisation in crop models
2019-ongoing
»
Cite
×