InfoAg 2018 Presentation
Crop Consultant Perspective

Grand E
Tue, Jul 17, 2018
2:20pm to 3:00pm


The presence and impacts of subfield variability are very well understood in precision agriculture. Creating data systems that help identify the impacts of subfield variability and deliver management solutions that react to variability are foundational to precision agricultural data services. The financial impacts of subfield variability, profit and return on investment, tend to receive less attention than yield and productivity. The reality is that subfield variability impacts on financial performance are significant, and understanding these impacts can often be more important for decision making than just look at yield or productivity. It has been documented that between 5%-20% of nearly every field is consistently not profitable. This session will provide an educational forum to look at three precision ag data outcomes leveraging subfield variability in financial performance to improve grower profitability: 1) describe the fundamental business impacts of subfield variability, 2) demonstrate how a wide range of existing precision ag data resources can be used for subfield business performance planning, and 3) deliver actual case studies where subfield business planning has created improved performance.


Dave Muth

Vice President, Agronomic Planning & Sustainability
EFC Systems

Dr. Dave Muth VP of Agronomic Planning & Sustainability at EFC Systems. Inc. He and his colleagues at EFC Systems are developing precision data services for retail ag supporting agronomic planning and sustainability applications. David joined EFC Systems through the acquisition of AgSolver, an ag technology start-up he co-founded in 2013. David grew up on a family farm in North Central Iowa and currently supports the growing operation. David is trained as a mechanical engineer receiving his PhD from Iowa State University.

Dr. David Muth is a co-founder at AgSolver Inc. located in Ames, IA. He and his partners at AgSolver are developing decision services for agronomic applications. David is using AgSolver's advanced data management and environmental process modeling technology to develop a suite of precision agriculture analysis and data services. David is focused on developing AgSolver’s Precision Business Planning approach to land management.

He attended Luther College in Decorah, IA, receiving a degree in physics and minor in mathematics. He received his Ph.D. in Mechanical Engineering from Iowa State University. Prior to joining AgSolver, David led a research team at Idaho National Laboratory working on bioenergy feedstock production and logistics analysis.