Javier
Ph.D. | Crop Physiology
Combining plant physiology and data analytics for agronomic and ecological research.
Hey, I'm
About Me
I am a Research Fellow at The University of Queensland focused on the intersection of crop physiology, digital agriculture, and data-driven agronomy.
My research integrates statistical modelling, proximal sensing, remote sensing, and crop simulation to explain crop growth dynamics across canopy, field, and regional scales. I work on translating these methods into robust analytical frameworks that improve management decisions, resource-use efficiency, and resilience in grain production systems.
Core technical areas- Precision agriculture and digital agronomy
- Agronomy and crop-environment interactions
- Spatio-temporal crop-environment analytics
- Crop modelling
- Statistical modelling and machine learning
- Applied programming for agricultural data
Projects
Analytics for the Australian Grains Industry (AAGI)
Synthetic and field-trial data augmentation to improve predictive modelling, yield estimation, and data-driven agronomic decisions across Australian grains systems.
Innovations in Plant Variety Testing in Australia (INVITA)
Integrating remote sensing and data analytics into variety testing, and quantifying crop growth drivers using yield, weather, soil, and augmented environmental datasets.
Remote sensing of canopy nitrogen
Developing a scalable framework linking N physiological principles and canopy spectral response to estimate N concentration from sensors at paddock and regional scales.
Crop-environment temporal modelling
Integrating proximal sensor streams and remote sensing imagery through functional data analysis, state-space modelling, and machine learning for real-time management decisions.
Crop improvement
Looking at the past, we can understand the present and identify opportunities for the future.
Reproducible science
Developing resources that promote reproducibility and best practices in data analysis for agricultural and ecological research.
Get In Touch
I welcome collaborations in precision and digital agriculture, crop physiology, and data-driven agronomy.