13 pages., Article #: 3FEA2, via online journal., A multiple indicators, multiple causes, or MIMIC, modeling framework can be used for analyzing a variety of farmer decision-making situations where multiple outcomes are possible. Example applications include analyses of farmer use of multiple information sources, management practices, or technologies. We applied the framework to analyze use of multiple information sources by beef cattle farmers. We provide measures of how farmer demographics, farm characteristics, and risk attitudes influenced farmer use of information from Extension, producer groups, popular press, the U.S. Department of Agriculture, the Internet, and other farmers. Education and greater willingness to take risk positively influenced information use among the farmers we studied. Our process has implications for broader use within Extension.
Boehlje, Michael (author) and Langemeier, Michael (author)
Format:
Research report
Publication Date:
2021-03
Published:
USA: Department of Agricultural and Consumer Economics, College of Agricultural, Consumer and Environmental Sciences, University of Illinois, Urbana-Champaign.
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 203 Document Number: D12167
Notes:
6 pages., Authors from the Center for Commercial Agriculture, Purdue University, discuss the adoption of precision agriculture technologies. Findings of cited research among farmers indicated that the average net benefit was almost $90 per acre, and the benefit cost ratio averaged 9.7 to 1. "These results suggest a much higher payoff of precision farming than previous studies. This higher payoff is a result of the whole-farm system benefits of the interactions among individual tools and technologies which result in a new way of farming."
Via online issue. 3 pages., Summary of panel discussion at a Virtual Town Hall meeting of the Produce Marketing Association. Panelists noted how greenhouse technologies can soften the blow of climate change.
Wallander, Steven (author), Smith, David (author), Bowman, Maria (author), and Claassen, Roger (author)
Format:
Research report
Publication Date:
2021-02
Published:
USA: Economic Research Service, U.S. Department of Agriculture
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 202 Document Number: D12143
Notes:
Economic Information Bulletin Number 222. 33 pages., This report detailed how cover crops are managed on corn, cotton, soybean, and wheat fields in the United States. "These surveys reveal that there are many different approaches to using cover crops."
An analysis of secondary data from the National Panel Survey in Tanzania revealed physical, socioeconomic, and institutional factors influencing the adoption of soil conservation technologies among small-scale maize farmers. Findings revealed, for example, only 13.9 percent of those had adopted soil conservation technology. This was cited as small, compared with other countries.
6 pages., Article is a revision of material presented at the annual conference (2017) of the Korea Association of SouthEast Asian Studies., Results show that participants of the farmer field schools (FFS) program were more likely to adopt the drought-tolerant rice varieties by 9.9% compared to the non-participants. "It also demonstrates that the FFS with the Local Farmer Technician system is effective in improving farmers' adoption of the newly introduced varieties in the survey area.
Online via AgEconSearch., In this teaching case study the authors analyze the economics of installing automatic milking systems under three investment scenarios. The study also "provides an opportunity to apply capital budgeting to a modern agriculture investment and addresses broader questions related to technology investment and adoption on farm."
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 203 Document Number: D12188
Notes:
Online via AgriMarketing Update. 2 pages., Summary of results from a Farm Journal Pulse Poll asking farmers what farm technology they wish to invest in first if they were to win the lottery. The top choice was variable-rate application technology with 31% of the responses (out of a total of 577 farmers). Four other technologies ranked lower.
