Our People

The NZAGRC is staffed by a dedicated and enthusiastic team.

The NZAGRC Director, Operations Manager, Project Analyst, International Capability and Training Coordinator, and Administrator are employed by AgResearch on behalf of the NZAGRC, and are based in Palmerston North. The Deputy Director (International) and Operations Manager (International), also employed by AgResearch, are based in Wellington.  Read more about the NZAGRC staff

The NZAGRC team includes more than 50 highly motivated scientists and technical staff delivering high quality science. This team is led by 7 experts in their field providing science leadership and advice to the NZAGRC. Read more about the NZAGRC SLT 

The NZAGRC receives direction from its Steering Group who met quarterly and oversee the NZAGRC's performance against its strategic plan. Read more about the NZAGRC SG 

The NZAGRC receives expert advice on the relevance and quality of its research programme for the international and Maori communities. See more about our advisors page for more information.

Below are some profiles of Our People and the work they do. 

Undergraduate Student: Martina Alvarez Camps

"My name is Martina Alvarez. I am 19 years old and about to start my second year of Chemical and Materials Engineering at the University of Auckland."

 Martina Alvarez.jpg

Martina spent the summer with Dr Carolyn Hedley and Dr Pierre Roudier at Landcare Research looking at the effect of moisture on soil spectra and the use of the External Parameter Orthogonalisation (EPO) algorithm to predict carbon content of field moist soil using air dry soil spectra models.

Martina's work has given her the opportunity to learn new skills and expertise in this field of soil science.

"I have learned about Visual-Near Infrared (VisNIR) spectroscopy and its benefits to soil science due to its quick soil carbon content predictions. I have also become aware of how samples are handled and scanned, the need for pre-processing of spectra and its application using the computer programming language R and how to accommodate the experiment to unexpected occurrences."


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