Terry W. Griffin, PhD Expert Witness
Dr. Terry Griffin provides independent scientific analysis, deposition testimony, and expert witness consultation for both plaintiff and defense counsel in complex agricultural litigation. Specializing in agricultural product liability and chemical trespass disputes, he integrates deep agronomic expertise with advanced digital agriculture technologies to deliver objective, court-ready determinations of causation and economic damages. By leveraging precision agriculture records, yield monitor data, satellite imagery, remote sensing, and Actual Production History (APH) datasets, Dr. Griffin transforms complex, field-level evidence into defensible valuations and clear, data-driven testimony. His rigorous, unbiased methodology assists attorneys, insurers, and agricultural enterprises in navigating technical disputes with absolute clarity.
He is available for casework nationwide (excluding Kansas due to institutional conflict of interest guidelines). Dr. Griffin brings extensive operational and production experience in the Midwest and Delta agricultural systems, specifically covering corn, cotton, peanuts, soybeans, rice, and wheat. His active case review experience includes litigation support in Florida, Illinois, Oklahoma, and Texas.
Farm data valuation has been an emergent topic across the agricultural sector for several decades. Previous analyses focused on estimating damages from misappropriation, although no existing estimates of valuation within the farm gates for data, especially inaccessible data. Based on actual events when yield monitor data became inaccessible to farm operators, damages were estimated in anticipation of litigation. Valuation was estimated given how yield monitor data was intended to be used in the decision-making process. Specifically, valuation was estimated within the context of conducting farmer-managed on-farm experimentation. Farmers implicitly value on-farm experiments given the financial and non-monetary, i.e. human capital, investments. Key outcomes included 1) farm operators must be perceived to use data and 2) data must be treated as valuable. Each on-farm experiment was valued at over $40,000.
Griffin, T. W.