Title: On-Farm Research
Date: Wed Aug 3, 2016
Time: 4:00 PM - 5:20 PM
Moderator: N/A
On-Farm Research: Guidelines for a Successful Experience

The presentation will focus on providing the basic and advanced steps when implementing on-farm research studies with the goal of providing responses to questions: Why participate in on-farm research projects? How many studies are needed to develop useful information? Do we need to follow protocols and guidelines provided by experimental designs? How critical is the process of data collection? How do I analyze and integrate all results in order to provide a meaningful outcome from these studies? The utilization of advanced precision Ag tools can provide a better understanding of the data collected and empower the interpretation and potential extrapolation of the results obtained in a specific environment to the rest of the field.

Ignacio Ciampitti (speaker)
Associate Professor, Cropping Systems Specialist
Kansas State University
Manhattan, KS 66506
Dr. Ciampitti's program is focused on assisting agri-business professionals in selecting the best management practices for improving yields under diverse cropping systems with emphasis on corn and soybeans. Ignacio’s research program is focused on maximizing yield and closing yield gaps via implementing best management practices, employing review and synthesis-analyses procedures, investigating interactions between crop production factors and using modeling and remote sensing approaches.
Length (approx): 40 min
Benefits of an On-Farm Data Sharing Community

Most data sets for evaluating crop production practices have too few locations and years to create reliable probabilities from predictive analytical analyses for the success of the practices. Yield monitors on combines present the opportunity for networks of farmers in collaboration with scientists and farm advisors to collect sufficient data for calculation of more reliable guidelines for crop production practices. However, the creation of sufficiently large data sets requires the pooling of data from numerous farmer networks, but such pooling of data is not possible because there are no standards for sharing data across networks. Writing and publishing standards for sharing data from farmer networks will encourage the creation of large data bases of results from replicated strip trials. The more reliable guidelines for crop production derived from the large databases combined with the unique local knowledge of farmers and farm advisors about field-scale production of food will improve the efficiency of crop production. 

Tom Morris (speaker)
Professor, Extension Soil Fertility Specialist
University of Connecticut
Storrs, CT 06042
Tom is a soil scientist specializing in nitrogen studies. Recent work has been with networks of farmers in the Corn Belt who use yield monitors to generate large data sets of results from replicated strip trials. The results are used to estimate the probability of increased efficiency for crop production practices. Larger and more comprehensive data sets are needed to create better guidelines for crop production practices that when combined with local knowledge at the field level will maximize profit and minimize pollution.
Nicolas Tremblay (speaker)
Research Scientist
Agriculture and Agri-Food Canada
St-Jean-sur-Richelieu, Quebec J3B 3E6
Dr. Nicolas Tremblay leads an important research program for Agriculture and Agri-Food Canada and is known for his ability to generate new knowledge for the benefit of the agricultural sector. He is currently involved in the management of nitrogen fertilizer applications using remote sensing, geomatics, geostatistics and meta-analyses. He has also conducted research on techniques for the detection of stresses affecting crops. Dr. Tremblay is the author of over a hundred scientific peer-reviewed publications. He is president of the International Society for Precision Agriculture (ISPA).
Length (approx): 40 min