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.
Gallardo, Karina R. (author), Grant, Kara (author), Brown, David J. (author), McFerson, James R. (author), Lewis, Karen M. (author), Einhorn, Todd (author), Sazo, Mario Miranda (author), and Washington State University
Michigan State University
Cornell Cooperative Extension
Format:
Journal article
Publication Date:
2019-02-28
Published:
United States: American Society for Horticultural Science
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 15 Document Number: D10435
12 pages., Via online journal., Advances in precision agriculture technologies provide opportunities to improve the efficiency of agricultural production systems, especially for high-value specialty crops such as fresh apples (Malus domestica). We distributed an online survey to apple growers in Washington, New York, and Michigan to elicit stakeholder perceptions of precision agriculture technologies. Findings from this study demonstrated that growers are willing to adopt precision agriculture technologies when they receive results from applied research projects and are engaged with active extension programs. The availability of customized services and purchasing and rental options may minimize the effects of the economies of size that create barriers to adopting increasing access to technologies. Finally, respondents deemed collaborative efforts between industry and academic institutions crucial for adapting the innovation to better address the needs of growers.
13pgs, This study aims to analyze the influence of neighborhood effects (NE) on tea farmers' intention to convert from traditional to organic farming in the mountainous areas of northern Vietnam. It differs from previous studies in two aspects. First, we combine the theory of planned behavior and the theory of herd behavior to explain farmers' intention to convert from traditional to organic farming, focusing on the impact of the NE. Secondly, to measure NE, we use a combination of questionnaires and methods of measuring herd behavior by McCartney and Shah. Using the generalized structural equation modeling and data collected from 263 tea farmers in Thai Nguyen, we found that NE has a positive and direct significant effect on farmers' intention to convert to organic tea production in the case where neighbors both live nearby and have a close relationship with the subject. In addition, it indirectly impacts farmers' conversion intention through attitude, subjective norms and perceived behavior control. To encourage tea farmers to convert to organic farming, policymakers and extension workers should take advantage of the NE to increase farmers' confidence about the benefits and the possibility of successful organic farming.
