Social and Behavioral Sciences Commons^™

An Expected Value Of Sample Information (Evsi) Approach For Estimating The Payoff From A Variable Rate Technology., Pedro Vertino De Queiroz, Richard Perrin, Lilyan E. Fulginiti, David S. Bullock

Department of Agricultural Economics: Faculty Publications

This paper examines the payoff to variable rate technology (VRT) using a Bayesian approach following literature on the expected value of sample information (EVSI). In each cell within a field, we compare the expected payoff from an optimal variable rate conditioned on a signal from that cell, with the expected payoff from a uniform rate technology (URT) that is optimal for all cells in the field. This comparison, when evaluated across the theoretical distribution of signals, provides an estimate of the expected gross benefit from VRT relative to URT. Under plausible assumptions, a closed-form algebraic solution relates this expected benefit …

Has The Usage Of Precision Agriculture Technologies Actually Led To Increased Profits For Nebraska Producers?, Michael H. Castle

Department of Agricultural Economics: Dissertations, Theses, and Student Research

An ever-increasing global demand for food, coupled with increasingly volatile commodity prices have charged producers with the task of becoming more efficient. As such, technologies aimed at producing more with less are continually being developed and marketed to producers. However, whether or not these expensive new technologies have resulted in improved profitability is still unknown, as the vast majority of studies showing their impact on profitability have been performed using hypothetical farms and simulations. These studies have shown the potential for increases in profitability from use, but their impact in the real world is still uncertain.

This project uses various …

Precision Agriculture And Big Farm Data: Producer Adoption And Opinions, Michael H. Castle, Bradley D. Lubben, Joe D. Luck

UCARE Research Products

Using scarce resources to feed an ever-increasing world population in the climate of increasingly-volatile commodity prices has charged producers with the task of becoming more efficient. The answer to these problems may lie within technological advancements, through the usage of precision agriculture and the “big” data these technologies are capable of producing. These technologies are expected to have an enormous impact that could effectively allow farmers to produce more with less. As such, research regarding producer adoption and opinions of the technology are of great relevance. Furthermore, there is great debate over the data produced by these technologies; with the …

Factors Influencing Producer Propensity For Data Sharing & Opinions Regarding Precision Agriculture And Big Farm Data, Michael H. Castle, Bradley D. Lubben, Joe D. Luck

Department of Agricultural Economics: Presentations, Working Papers, and Gray Literature

With its tremendous success by notable companies in varying industries, “big data” has become a hard-to-miss phrase and many believe its usage in agriculture is the future of the industry. However, the potential benefits of using big data come with just as many challenges, ranging from not knowing how to make use of it, to the debate over who owns and has access to it. A survey asking for producers’ opinions on precision agriculture technologies and big farm data was distributed to a sample of agricultural producers across Nebraska. A Poisson regression was used to determine the factors influencing propensity …

Factors Influencing The Adoption Of Precision Agriculture Technologies By Nebraska Producers, Michael H. Castle, Bradley D. Lubben, Joe D. Luck

Department of Agricultural Economics: Presentations, Working Papers, and Gray Literature

An ever-increasing world population and increasingly-volatile commodity prices have charged producers with the task of becoming more efficient. To combat this, precision agriculture technologies aimed at increasing production efficiency are continually being developed, but their adoption is not yet widespread. A survey regarding the usage of these technologies was distributed to a sample of row crop producers across the state of Nebraska and a Poisson regression was used to determine the factors influencing adoption. Results of the study indicate that larger, more tech-savvy producers and those using irrigation are more likely to adopt a higher number of precision agriculture technologies, …