William Kess

BERG

Jon

Fridgen

Aaron

Gault

David

Isenhour

Kess’s area of expertise is bridging the gap between crop growth and development, soil chemical and physical properties and the general agronomic practices of the grower. Geographic Information Systems are used as a tool to understand environmental attributes that impact crop performance, and through that knowledge the impact of these attributes are increasingly understood as well as their ranked weighting of influence on a sub-acre scale. Knowledge of soil mineralogy (specific clay types, chemical, and physical composition), crop physiology (specific nitrogen and carbon pools), and agriculture production is continually utilized and evaluated to develop better understanding of crop management.

Ph.D.      Crop Physiology and Mineral Nutrition; Department of Agronomy, Purdue University

M.S.         Crop Physiology; Department of Agronomy, Purdue University

 B.S.         Crop Science, The Ohio State University

   

william.kess.berg@advancedagrilytics.com



Jon’s area of expertise is the development of site-specific analyses and process-based models to improve our understanding of product response and the yield generation process across the landscape. Though fluent in several programming languages, Jon primarily uses the R language for analysis and model development. By utilizing the broad spectrum of tools and packages available in R, Jon is able to integrate multiple analysis techniques to provide additional insights into large site-specific and longitudinal agriculture datasets.

M.S.         Agronomy; Department of Agronomy, University of Missouri

B.S.         Plant Industries Management – Agronomy; Department of Agronomy, University of Minnesota

jon.fridgen@advancedagrilytics.com



Aaron’s area of interest for Advanced Agrylitics is focused around in-season crop management and the understanding of crop performance “real-time” as influenced by the environmental conditions of the growing season.  Aaron’s ability to integrate probability of yield response to in-field stimuli is a key component of Advanced Agrilytics sub-field understanding of yield.  Before joining Advanced Agrilylitcs, Aaron worked as a professional agronomist for many differing companies such as Monsanto/Dekalb and Bayer Crop Science.  Aaron has been a Certified Crop Advisor since 2003 and continues to be active in that professional association.  

B.S.          Agricultural Economics, Purdue University

Certified Crop Advisor

aaron.gault@advancedagrilytics.com



David has over twenty-five years of experience working in the seed industry. He has held various private sector roles including; Director Entomology and Pathology for North America, Lead for International Trait Integration, Region Lead for Breeding and Traits, and regional responsibilities for sales technical support. Furthermore, David has headed a research and development team that had responsibilities for covering 16 countries worldwide. David is also an esteemed member of academia with past tenure as an Associate Professor of Entomology at the University of Georgia. He currently is an Adjunct Full Professor of Entomology and a member of the Graduate Faculty at the University of Nebraska. He has directed graduate students at both institutions. 

 

 

Ph.D.        Entomology, University of Kentucky

M.S.          Entomology, University of Missouri

B.S.           Biology, Eastern Kentucky University

Author on over sixty referred journal articles and numerous oral/poster presentation. An invited speaker at annual the Entomological Society of America, International Congress of Entomology, American Association for the Advancement of Science, and the American Society of Agronomy. Currently a member of the Entomological Society of America and the American Society of Agronomy.

 

isenhour@advancedagrilytics.com



Staff

Jeremiah Windell
Crop Specialist
Lucas Windell
Crop Specialist
Joe Virgin
Senior Agronomic Advisor
Travis Kimmel, CCA
Ohio Agronomist
Mitchell Pettit
Research Science Lead
Garret Curry
Customer Service

Geographic Information Systems are used as a tool to understand environmental attributes that impact crop performance, and through that knowledge the impact of these attributes are increasingly understood as well as their ranked weighting of influence on a sub-acre scale.




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