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Armin Werner

Principal Science Advisor

Armin Werner

MSc/CEng, PhD

Armin is the Principal Science Advisor at Lincoln Agritech. Passionate about sensors and digital data, he helped the Precision Agriculture movement across Germany and the EU. As the founding director of ZALF’s Institute of Land Use Systems, they used local ecological data to balance production with environmental objectives. Since joining Lincoln Agritech in 2013, he has been successfully bridging science and industry in digital farming. Naturally, data, sensors, and AI for decision-making have recently culminated in the automation of production with robotics, e.g., providing semi-autonomy for forestry platforms in a partnership with a NZ robot builder. He argues: “These disruptive developments need foresighting in R&D: what could happen, not what will happen.”

Armin has taught Precision Agriculture courses at Lincoln University and serves as an Adjunct Professor there.

Focus areas:

  • Horizon Europe and international research collaborations.
  • Science foresighting as a complementary tool in the strategic development of R&D groups.
  • Advancing and adoption of AI-supported Digital Agriculture to benefit farmers, foresters, consumers, and the environment.

Publications

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Probing Biological Nitrogen Fixation in Legumes Using Raman Spectroscopy, Sensors, July 2024
Jafari A, Seth K, Werner A, Shi S, Hofmann R, Hoyos-Villegas V
https://doi.org/10.3390/s24154944
The uniformity of ground spreading of common New Zealand fertiliser blends, Agronomy New Zealand, May 2024
Holmes A, Ekanayake D, Nguyen P, Werner A.
https://flrc.massey.ac.nz/workshops/24/Manuscripts/Holmes_Allister.pdf
Effects of retained node numbers on berry maturity and yield components of cane-pruned Sauvignon blanc, Oeno One, July 2024
Epee PTM, Schelezki O, Trought MCT, Werner A, Hofmann RW, Almond P, Charters S, Parker A
https://doi.org/10.20870/oeno-one.2024.58.3.7930
Modelling wine grapevines for autonomous robotic cane pruning, Biosystems Engineering
Williams H, Smith D, Shahabi J, Gee T, Nejati M, McGuinness B, Black K, Tobias J, Jangali R, Lim H, Duke M, Bachelor O, McCulloch J, Green R, O'Connor M, Gounder S, Ndaka A, Burch K, Fourie J, Hsiao J, Werner A, Agnew R, Oliver R, MacDonald B
https://doi.org/10.1016/j.biosystemseng.2023.09.006
Virtual reality, augmented reality, and extended reality – beyond what you can perceive with your naked senses, “Encyclopedia of Smart Agriculture Technologies”
Werner A, Jafari A
https://doi.org/10.1007/978-3-030-89123-7_41-1
Characterising retained dormant shoot attributes to support automated cane pruning on Vitis vinifera L. cv. Sauvignon Blanc, “Australian Journal of Grape and Wine Research”
Epee P T M, Schelezki OJ, Parker A K, Trought M C T, Werner A, Hofmann R W, Almond P, Fourie J
https://doi.org/10.1111/ajgw.12555
Variable-rate application of fertiliser – a new tool for farm system and environmental performance?, “Journal of New Zealand Grasslands”
King W, Pletnyakov P, Taylor A, Ekanayake D, Werner A
https://doi.org/10.33584/jnzg.2021.83.3515
Robust human instance segmentation in a challenging forest environment 36th International Conference on Image and Vision Computing New Zealand (IVCNZ)
K. Pahalawatta, J. Fourie, J. Potgieter, H. Ascot-Evans and A. Werner
https://doi.org/10.1109/IVCNZ54163.2021.9653172
Tools for Yield Estimation, Grape Days 2021 – Napier and Cromwell
Werner, A
Tools for Precision Vitculture – Commercial solutions from Research, Agritech in the Vineyards Industry Connector Day
Werner, A
Towards automated grape vine pruning: Learning by example using recurrent graph neural networks, “International Journal of Intelligent Systems”
Fourie J, Bateman C, Hsiao J, Pahalawatta K, Batchelor O, Epee Misse P, Werner A
https://doi.org/10.1002/int.22317
Detection and classification of opened and closed flowers in grape inflorescences using Mask R-CNN IVCNZ Conference
Pahalawatta, K; Fourie, J; Carey, P; Werner, A; Parker, A
https://doi.org/10.1109/IVCNZ51579.2020.9290720
Towards automated grape vine pruning: Learning by example using recurrent graph neural networks, “International Journal of Intelligent Systems”
Fourie, J., Hsiao J., Bateman, C., Misse, P.E., Batchelor, O., Werner, A
Advancing staff training for manual labour in orchards and vineyards with augmented reality, Momentum 2020 – Zespri Conference
Armin Werner
Decision automation for orchards and Vineyards – Future Training Tools, Momentum 2020 – Zespri Conferenc
Armin Werner
Intelligent Vision Systems Lab (IVS) at UoA and Collaborations on the Maara Tech Project, Momentum 2020 – Zespri Conference
Armin Werner