Jose A. Jimenez Berni

Multidisciplinary research in farming systems across multiple scales.
This research is about understanding the genotype, environment and management interactions (GxExM) by using next-generation plant phenomics tools and crop simulation models. The main objective is to develop multiple levels of information about the physiological status of crops and the underlying environment, which will allow optimising decision making at the farm level with the aim of improving efficiency and productivity in mediterranean farming systems.
We use a range of technologies: proximal and remote sensing (LiDAR, hyper/multi-spectral or thermal), sensor networks, big-data approaches or machine learning algorithms.

Berni, J. A. J.; et al. 2009. Mapping canopy conductance and CWSI in olive orchards using high resolution thermal remote sensing imagery. Remote Sensing of Environment. 113-11, pp.2380-2388.

Berni, J.A.J.; et al. 2009. Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle IEEE Transactions on Geoscience and Remote Sensing. 47-3, pp.722-738.

Ivan Simko; Jose A. Jimenez-Berni; Xavier R.R. Sirault. 2017. Phenomic approaches and tools for phytopathologists Phytopathology. American Phytopathological Society. 107-1, pp.6-17.

Deery, DM; Jimenez-Berni, JA, et al. 2014. Proximal remote sensing buggies and potential applications for field-based phenotyping Agronomy. MDPI AG. 4-3, pp.349-379.

Rebetzke, G; Jimenez-Berni, JA, et al. 2016. High-throughput phenotyping technologies allow accurate selection of stay-green Journal of Experimental Botany. 67-17, pp.4919-4924.

  • Development of high-throughput plant phenotyping methods, both in the field and controlled conditions
  • Sensor development for real-time continuous monitoring of crop physiology using a range of technologies: thermal, hyperspectral, LiDAR
  • Development and calibration of simulation models for crops and physiological processes
  • e-mail: berni@ias.csic.es
  • Location: Annex building IAS – Level 1, office 6
  • Phone: +34 957 49 91 75