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Armin Werner

Group Manager, Precision Agriculture

Armin Werner

MSc/CEng, PhD

Armin has a background in agronomy, crop modeling and sustainable development of land use. He gained his PhD at the University of Bonn and worked as Postdoc at Michigan State University.

Before joining Lincoln Agritech, Dr Armin Werner was the Director of the Institute of Land Use Systems (ZALF) in Germany for several years. Armin specialises in novel agricultural production systems with a strong focus on precision agriculture (PA); exploring the economic and environmental as well as managerial impacts of new technologies for primary industries and land use. His work has led him to create strong linkages and collaboration projects between various scientific disciplines and sectors including academic institutions, researchers and farmers.

Since 2013, Armin has been managing an interdisciplinary and integrative research group on Precision Agriculture at Lincoln Agritech, covering Precision Farming (arable crops, pastures), Precision Livestock Farming, Precision Horticulture, Precision Spraying as well as Agricultural (Outdoor) Robotics.

In addition to working at Lincoln Agritech, Dr Armin Werner is an Adjunct Professor at Lincoln University in New Zealand, and has been teaching a Precision Agriculture course since 2015.

Armin has particular research interests in:

  • Using optical sensors with map overlays to delineate and effectively manage zones of varying yield potentials with variable rate applications of fertilizers, seeds and pesticides.
  • Improving rule-based decision support systems with sensor data and geo-data towards spatially variable rate production systems.
  • Developing and integrating image based analytical tools into horticultural and arable crop production.
  • Study the barriers in adopting Precision Agriculture as a management concept of farms and to show the benefits of PA for farmers, consumers and environment.

Publications

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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