Factors Influencing Farmer Adoption of Portable Computers for Site-Specific Management: A Case Study for Cotton Production

Personal digital assistants (PDA) and handheld global positioning systems (GPS) have become increasingly important in cotton production but little is known about their use. This research analyzed the adoption of PDA/handheld GPS devices in cotton production. A younger farmer who used a computer in farm management and had a positive perception of Extension had a greater likelihood of adopting the devices. In addition, farmers who used complementary remote sensing, plant mapping, and grid soil sampling information were more likely to use PDA/handheld GPS devices. Finally, the COTMAN in-field decision support program from Extension also positively impacted adoption.

[1]  Timothy S. Stombaugh,et al.  Development of a Controller Area Network Based Handheld Data Acquisition System for Identity Preservation , 2003 .

[2]  Terri L. Moore,et al.  Regression Analysis by Example , 2001, Technometrics.

[3]  Hedley Rees,et al.  Limited-Dependent and Qualitative Variables in Econometrics. , 1985 .

[4]  D. Dillman Mail and internet surveys: The tailored design method, 2nd ed. , 2007 .

[5]  Francis Vella,et al.  Simple Tests for Sample Selection Bias in Censored and Discrete Choice Models , 1992 .

[6]  E. Douglas Beach,et al.  The Adoption of IPM Techniques By Vegetable Growers in Florida, Michigan and Texas , 1994, Journal of Agricultural and Applied Economics.

[7]  Wayne Lee EXperimental design and analysis , 1975 .

[8]  Steven W. Martin,et al.  Factors Influencing the Selection of Precision Farming Information Sources by Cotton Producers , 2011, Agricultural and Resource Economics Review.

[9]  S. Chatterjee,et al.  Regression Analysis by Example , 1979 .

[10]  H. White A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity , 1980 .

[11]  Ronald P. Cody,et al.  Applied Statistics and the SAS Programming Language. , 1986 .

[12]  J. Stafford,et al.  Developing a wireless LAN for high speed transfer of precision agriculture information. , 2003 .

[13]  James A. Larson,et al.  Adoption of Site-Specific Information and Variable-Rate Technologies in Cotton Precision Farming , 2004, Journal of Agricultural and Applied Economics.

[14]  William A. Amponsah,et al.  Computer Adoption and Use of Information Services by North Carolina Commercial Farmers , 1995, Journal of Agricultural and Applied Economics.

[15]  Murray,et al.  Yield Mapping to Improve Dairy Farm Production , 2005 .

[16]  Richard Honeck,et al.  Experimental Design and Analysis , 2006 .

[17]  Martin Kenney,et al.  Computer and Internet Use by Great Plains Farmers , 2004 .

[18]  Enrique R. Vivoni,et al.  Real-time streaming of environmental field data , 2003 .

[19]  Peter I. Corke,et al.  From Robots to Animals: Virtual Fences for Controlling Cattle , 2006, Int. J. Robotics Res..

[20]  James A. Larson,et al.  Factors affecting farmer adoption of remotely sensed imagery for precision management in cotton production , 2008, Precision Agriculture.

[21]  J. V. Stafford,et al.  How wireless will change agriculture. , 2007 .

[22]  Stan G. Daberkow,et al.  Socioeconomic Profiles of Early Adopters of Precision Agriculture Technologies , 1998 .

[23]  Ronald P. Cody,et al.  Applied statistics and the SAS programming language (2nd ed.) , 1986 .

[24]  Ning Wang,et al.  Review: Wireless sensors in agriculture and food industry-Recent development and future perspective , 2006 .

[25]  Arne Hallam,et al.  Size, Structure, And The Changing Face Of American Agriculture , 1993 .

[26]  Michael Bange,et al.  A handheld decision support system to facilitate improved insect pest management in Australian cotton systems , 2004 .

[27]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[28]  R. Heimlich Farm Resource Regions , 2000 .

[29]  D. Rivers,et al.  Limited Information Estimators and Exogeneity Tests for Simultaneous Probit Models , 1988 .

[30]  Douglas Jackson-Smith,et al.  The Dynamics Of Agricultural Biotechnology Adoption: Lessons From Rbst Use In Wisconsin, 1994-2001 , 2002 .

[31]  Sam Turner,et al.  Wireless technology and satellite internet access for high-speed whole farm connectivity in precision agriculture , 2004 .

[32]  Fred M. Bourland,et al.  Concept for Monitoring the Growth and Development of Cotton Plants Using Main-Stem Node Counts , 1992 .

[33]  M. Khanna Sequential Adoption of Site-Specific Technologies and its Implications for Nitrogen Productivity: A Double Selectivity Model , 2001 .

[34]  Michael P. Bange,et al.  SIRATAC and CottonLOGIC: persevering with DSSs in the Australian cotton industry , 2002 .

[35]  James A. Larson,et al.  Precision Farming by Cotton Producers in Twelve Southern States: Results from the 2009 Southern Cotton Precision Farming Survey , 2006 .

[36]  Eugene Jones,et al.  Computer Use by Ohio Commercial Farmers , 1990 .

[37]  E. Rogers Diffusion of Innovations , 1962 .

[38]  William Lane Austin,et al.  The Census of Agriculture , 1930 .

[39]  Marvin T. Batte,et al.  Technology and its impact on American agriculture. , 1993 .

[40]  Chenghai Yang,et al.  EVALUATION OF COTTON DEFOLIATION STRATEGIES USING AIRBORNE MULTISPECTRAL IMAGERY , 2003 .

[41]  P. Schmidt,et al.  Limited-Dependent and Qualitative Variables in Econometrics. , 1984 .

[42]  Douglas Jackson-Smith,et al.  The Dynamics of Agricultural Biotechnology Adoption: Lessons from series rBST Use in Wisconsin, 1994–2001 , 2004 .

[43]  David Zilberman,et al.  Computer Use in Agriculture: Evidence from Tulare County, California , 1988 .

[44]  Utilizing precision farming technologies to implement and monitor management intensive grazing systems. , 2003 .

[45]  Peter E. Kennedy A Guide to Econometrics , 1979 .

[46]  Jeffrey M. Woodbridge Econometric Analysis of Cross Section and Panel Data , 2002 .

[47]  T. Griffin,et al.  ADOPTION, PROFITABILITY, AND MAKING BETTER USE OF PRECISION FARMING DATA , 2004 .