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Featured researches published by Stan G. Daberkow.


Precision Agriculture | 2003

Farm and Operator Characteristics Affecting the Awareness and Adoption of Precision Agriculture Technologies in the US

Stan G. Daberkow; William D. McBride

Precision agriculture (PA) technologies have been commercially available since the early 1990s. However, not only has the pace of adoption in the US been relatively modest but a surprisingly large number of producers are not familiar with these technologies. Using farm level survey data, this study quantifies the role that awareness plays in the decision to adopt PA technology and allows us to explore the potential for public or private information programs to affect the diffusion of PA. PA adoption and awareness are modeled as jointly determined dichotomous variables and their determinants are estimated using a two-stage (i.e. instrumental variable) logistic specification. The first-stage logit model indicated that operator education and computer literacy, full-time farming, and farm size positively affected the probability of PA awareness while the effect of age was negative. Grain and oilseed farms (i.e. corn, soybean, and small grains) and specialty crop farms (i.e. fruits, vegetables, and nuts) as well as farms located in the Heartland and Northern Great Plains regions were most likely to be aware of PA technologies. The second-stage PA adoption logit model, which included an instrumental variable to account for the endogeneity of awareness, revealed that farm size, full-time farming, and computer literacy positively influenced the likelihood of PA adoption. Grain and oilseed farms were the most likely types of farms to adopt PA as were farms in the Heartland region. Awareness, as defined in this study, was not found to be limiting the adoption of PA, suggesting that farmers for whom the technology is profitable are already aware of the technology and that a sector-wide public or private initiative to disseminate PA information would not likely have a major impact on PA diffusion.


Journal of Economic Entomology | 2009

Structure of the U.S. beekeeping industry: 1982-2002.

Stan G. Daberkow; Penni Korb; Fred Hoff

ABSTRACT There have been major structural changes in the beekeeping industry over the past 25 yr. The U.S. Census of Agriculture surveys indicate that colony inventory declined >20% between 1982 and 2002, whereas the number of U.S. farms with apiculture enterprises fell >70%. This decline in farm numbers was not uniform across different sized farms based on colony inventory—nearly 30,000 of the farms exiting the apiculture business had fewer than 25 colonies. With the number of farms declining faster than colony inventory, there has been a shift to larger farms. The Appalachia, Corn Belt, and Northeast states have the highest shares of apiculture farms, whereas the Pacific, Northern Plains, and Mountain states account for the largest shares of colonies. Farms with apiculture enterprises are concentrated in the smallest sales categories—87% of such farms had <


American Journal of Agricultural Economics | 1977

Response Time and the Location of Emergency Medical Facilities in Rural Areas: A Case Study

Stan G. Daberkow; Gordon A. King

50,000 in sales in 2002. Only about one third of farms with apiculture activity reported that a majority of sales were from apiculture products—such as honey or colony sales. Compared with all U.S. farms, per farm payments for all types of government programs were smaller for farms with apiculture activities. Only about half of all beekeepers regard farming as their primary occupation, and nearly 60% of the operators work off the farm at least 1 d a year and ≈40% work >200 d off the farm in a given year. Beekeepers resembled all other farmers demographically—nearly 90% are white males, with an average age of 55.


The Scientific World Journal | 2001

Nutrient Management Programs, Nitrogen Fertilizer Practices, and Groundwater Quality in Nebraska’s Central Platte Valley (U.S.), 1989–1998

Stan G. Daberkow; Harold Taylor; Noel R. Gollehon; Milt Moravek

A framework to analyze the delivery of emergency medical care in northern California is proposed. Using a branch and bound algorithm, the most efficient (least-cost) size, number, and location of emergency medical facilities is found subject to a given level of demand and a measure of effectiveness (response time). The current spatial pattern of emergency medical service (EMS) facilities is compared with the most efficient spatial pattern. Due to the sparse distribution of the study area population, some individual EMS facilities are not economically viable given the current revenue structure. Funding alternatives for EMS, including volunteer service, are discussed.


2001 Annual meeting, August 5-8, Chicago, IL | 2001

DECOMPOSING THE SIZE EFFECT ON THE ADOPTION OF INNOVATIONS: AGROBIOTECHNOLOGY AND PRECISION FARMING

Jorge Fernandez-Cornejo; Stan G. Daberkow; William D. McBride

Given the societal concern about groundwater pollution from agricultural sources, public programs have been proposed or implemented to change farmer behavior with respect to nutrient use and management. However, few of these programs designed to change farmer behavior have been evaluated due to the lack of detailed data over an appropriate time frame. The Central Platte Natural Resources District (CPNRD) in Nebraska has identified an intensively cultivated, irrigated area with average groundwater nitrate-nitrogen (N) levels about double the EPAs safe drinking water standard. The CPNRD implemented a joint education and regulatory N management program in the mid-1980s to reduce groundwater N. This analysis reports N use and management, yield, and groundwater nitrate trends in the CPNRD for nearly 3000 continuous-corn fields from 1989 to 1998, where producers faced limits on the timing of N fertilizer application but no limits on amounts. Groundwater nitrate levels showed modest improvement over the 10 years of this analysis, falling from the 1989-1993 average of 18.9 to 18.1 mg/l during 1994-1998. The availability of N in excess of crop needs was clearly documented by the CPNRD data and was related to optimistic yield goals, irrigation water use above expected levels, and lack of adherence to commercial fertilizer application guidelines. Over the 10-year period of this analysis, producers reported harvesting an annual average of 9729 kg/ha, 1569 kg/ha (14%) below the average yield goal. During 1989-1998, producers reported annually applying an average of 162.5 kg/ha of commercial N fertilizer, 15.7 kg/ha (10%) above the guideline level. Including the N contribution from irrigation water, the potential N contribution to the environment (total N available less estimated crop use) was estimated at 71.7 kg/ha. This is an estimate of the nitrates available for denitrification, volatilization, runoff, future soil N, and leaching to groundwater. On average, between 1989-1993 and 1994-1998, producers more closely followed CPNRD N fertilizer recommendations and increased their use of postemerge N applications--an indication of improved synchrony between N availability and crop uptake.


Journal of Agribusiness | 2003

Information And The Adoption Of Precision Farming Technologies

William D. McBride; Stan G. Daberkow


American Journal of Agricultural Economics | 1988

Low-Input Agriculture: Trends, Goals, and Prospects for Input Use

Stan G. Daberkow; Katherine H. Reichelderfer


Journal of Agribusiness | 1998

Socioeconomic Profiles of Early Adopters of Precision Agriculture Technologies

Stan G. Daberkow; William D. McBride


Precision Agriculture | 1999

Adoption of Precision Agriculture Technologies by U.S. Corn Producers

Stan G. Daberkow; William D. McBride


Archive | 2002

Decomposing The Size Effect On The Adoption Of Innovations

Jorge Fernandez-Cornejo; Stan G. Daberkow; William D. McBride

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William D. McBride

United States Department of Agriculture

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Jorge Fernandez-Cornejo

United States Department of Agriculture

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Fred Hoff

United States Department of Agriculture

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Gordon A. King

University of California

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Harold Taylor

United States Department of Agriculture

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James Payne

Economic Research Service

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Katherine H. Reichelderfer

United States Department of Agriculture

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Mark S. Ash

United States Department of Agriculture

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Michael J. Livingston

United States Department of Agriculture

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Michael J. Roberts

North Carolina State University

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