Nasr, Noureddine (author), Hdaidi, El Ayech (author), and Ayed, Ali Ben (author)
Format:
Book chapter
Publication Date:
2001
Published:
Tunisia
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: D01210
Notes:
Pages 293-299 in Waters-Bayer (eds.), Farmer innovation in Africa: a source of inspiration for agricultural development. Earthscan Publications, Ltd., London, England. 362 pages.
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.
O'Gorman, Melanie (author / University of Toronto) and Centre for the Study of African Economics, Oxford, UK
Format:
Conference paper
Publication Date:
2006-07-20
Published:
United Kingdom
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Document Number: C28215
Notes:
Posted online at http://www.csae.ox.ac.uk/conferences/2007-EDiA-LaWBiDC/papers/295-OGorman.pdf, Presented at the "Economic development in Africa" conference from March 18-20, 2007 at Oxford University.
Gnaegy Suzanna (author / Winrock International) and Anderson, Jock R. (author / Winrock International)
Format:
Publication
Publication Date:
1991-06-30
Published:
International
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 114 Document Number: D11012
Notes:
World Bank Discussion Paper 126. Washington, D.C. 158 pages., Studies from a workshop. Includes evidence that research and extension had contributed to a decline in agricultural production. "There is a broad consensus about the many factors that have contributed to failures to boost land and labor productivity in Sub-Saharan Africa. Both technological options and agroecological and socioeconomic circumstances in this vast region are diverse, thus creating a complex matrix of impacts and explanations. The central explanation is that research and development activities, whether public or private, national or international, have produced innovations that farmers find variously unprofitable, too risky, or impossible to implement in a timely and useful fashion. These problems lead, in turn, to often declining agricultural productivity and a deteriorating agricultural resource base, particularly of soil and forest resources. Stepping back further from the farmers themselves to the institutions that are supposed to have assisted, the difficulties are several including the poor (often irrelevant for resource-poor farmers) siting of much past experimental and testing endeavor, inadequate and temporally inconsistent staff and budget support for national research and extension organizations.
