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.
Jha, P.N. (author), Shatawat, G.S. (author), and Department of Extension Education, University of Udaipur, India; Department of Extension Education, University of Udaipur, India
Format:
Journal article
Publication Date:
1972-03
Published:
India
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 44 Document Number: B05338
14 pages, via Online Journal, The aim of this article is to show the relevance of the sociology of market agencements (an offshoot of actor–network theory) for studying the creation of alternative agri-food networks. The authors start with their finding that most research into alternative agri-food networks takes a strictly informative, cursory look at the conditions under which these networks are gradually created. They then explain how the sociology of market agencements analyzes the construction of innovative markets and how it can be used in agri-food studies. The relevance of this theoretical frame is shown based on an experiment aimed at creating a local trade scheme between manure from livestock farms and alfalfa grown by grain farmers. By using the concepts of the sociology of market agencements, the authors reveal the operations that are required to create an alternative agri-food network and underscore the difficulties that attend each one of these operations. This enables them to see the phenomena of lock-ins and sociotechnical transition in a new light.
