Ag Drone Insights 3

Improving agricultural research outcomes & efficiency

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In this webinar you will learn:

  • How drone-sourced data can improve objectivity
  • Where agricultural drones fit into the remote sensing ecosystem
  • How drones are being used in teaching/educational environments
  • How drone technology can boost the speed & frequency of field trial assessments
  • What positional accuracy is achievable with drone-sourced data
  • How drone data can be analysed (and what software it is compatible with)
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Presenters

Amanda Shine

University of Nebraska-Lincoln, USA

Amanda is currently finishing an M.S. degree in Agronomy at the University of Nebraska-Lincoln. Her research has focused on both the macro- and micro-scale processes that drive nutrient cycling in grazed ecosystems, as well as the spatial and temporal patterns of nutrient distribution under different grazing management strategies. She holds a B.A. in Biology from the University of North Carolina-Chapel Hill and a B.S. in Agriculture from Cameron University, in Lawton, OK.

Dr. Jörg Perner

UAS Jena, Germany

Dr. Perner is the CEO of U.A.S. Umwelt- und Agrarstudien GmbH (U.A.S.), an organisation that acts as an interface between basic and applied research and to accelerate the process of bringing ecological research knowledge into practice and services. Its main activities include conducting agricultural field trials, biometrical studies, applied research projects in fields such as soil erosion, agro-ecology, bio monitoring etc., and agricultural and environmental consulting.

Néstor Di Leo

National University of Rosario, Argentina

Néstor is an agricultural engineer and graduate of the Agronomy College at Argentina's National University of Rosario. Today, as a professor and researcher at the same institution, he develops functions in land management, applied remote sensing and GIS. His main interests include the application of geotechnologies, such as mapping drones, in the monitoring of natural resources and agro-ecosystems, site-specific management (spanning pasture & various crops), and precision agriculture.

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