22 pages, The objective of this study was to provide a comprehensive overview of the recent advancements in the use of deep learning (DL) in the agricultural sector. The author conducted a review of studies published between 2016 and 2022 to highlight the various applications of DL in agriculture, which include counting fruits, managing water, crop management, soil management, weed detection, seed classification, yield prediction, disease detection, and harvesting. The author found that DL’s ability to learn from large datasets has great promise for the transformation of the agriculture industry, but there are challenges, such as the difficulty of compiling datasets, the cost of computational power, and the shortage of DL experts. The author aimed to address these challenges by presenting his survey as a resource for future research and development regarding the use of DL in agriculture.
14 pages., via online journal, With shifting demographics of agricultural professionals, online educational resources present opportunities for Extension and other natural resources faculty and personnel to use various tools for supporting agricultural producers in the 21st century using more modern technology. Traditionally, Agriculture and Natural Resource (ANR) Extension programming has used a variety of hands-on methods for teaching new, more sustainable farming practices, such as on-farm field days, workshops, farm visits, and demonstrations. While these traditional teaching methods are preferred among farmers, online support tools play a critical role in the overall decision-making process for farmers who are considering making changes to their current farming practices. Online educational resources, with mobile-friendly versions, can be used to assist Extension and Natural Resource Conservation Service (NRCS) agents meet the needs of their clients using more modern forms of technology, whether from the office or on-farm. This study employed two focus group discussions with Extension and NRCS agents and university faculty members to evaluate the usability of a cover crop website that could be used as a support tool for a variety of agricultural professionals. Four themes emerged from this study with reference to a simple, clean appearance; efficient browsing; process-thinking design; and mobile- friendly. This research will be used to inform the continued development of website tools to benefit farmers, producers, agents, and other stakeholders.
Gallardo, Karina R. (author), Stafne, Eric T. (author), Devetter, Lisa Wasko (author), Zhang, Qi (author), Li, Charlie (author), Takeda, Fumiomi (author), Williamson, Jeffrey (author), Yang, Wei Qiang (author), Cline, William O. (author), Beaudry, Randy (author), Allen, Renee (author), and Washington State University
Mississippi State University
University of Georgia
University of Florida
Oregon State University
Michigan State University
Format:
Journal article
Publication Date:
2018-02
Published:
United States: American Society for Horticultural Science
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 11 Document Number: D10337
7 pages., Via online journal., The availability and cost of agricultural labor is constraining the specialty crop industry throughout the United States. Most soft fruits destined for the fresh market are fragile and are usually hand harvested to maintain optimal quality and postharvest longevity. However, because of labor shortages, machine harvest options are being explored out of necessity. A survey on machine harvest of blueberries (Vaccinium sp.) for fresh market was conducted in 2015 and 2016 in seven U.S. states and one Canadian province. Survey respondents totaled 223 blueberry producers of various production sizes and scope. A majority (61%) indicated that their berries were destined for fresh markets with 33% machine harvested for this purpose. Eighty percent said that they thought fruit quality was the limiting factor for machine-harvested blueberries destined for fresh markets. Many producers had used mechanized harvesters, but their experience varied greatly. Just less than half (47%) used mechanical harvesters for fewer than 5 years. Most respondents indicated that labor was a primary concern, as well as competing markets and weather. New technologies that reduce harvesting constraints, such as improvements to harvest machinery and packing lines, were of interest to most respondents. Forty-five percent stated they would be interested in using a modified harvest-aid platform with handheld shaking devices if it is viable (i.e., fruit quality and picking efficiency is maintained and the practice is cost effective). Overall, the survey showed that blueberry producers have great concerns with labor costs and availability and are open to exploring mechanization as a way to mitigate the need for hand-harvest labor.
Robertson, Michael J. (author), Preston, Nigel P. (author), and Bonnett, Graham D. (author)
Format:
Book chapter
Publication Date:
2017
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: D08788
Notes:
Pages 155-172 in Gordon, Iain J. Prins, Herbert H.T. Squire, Geoff R. (eds.), Food production and nature conservation: conflicts and solutions. United Kingdom: Routledge, London. 348 pages.
