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.
Madushanka, L.S. (author), Weerasinghe, K.S. (author), Weerakkody, W.J.S.K. (author), and Department of Plantation Management, Faculty of Agriculture and Plantation Management, Wayamba University of Sri Lanka, Makandura, Gonawila (NWP), Sri Lanka
ICT Center, Wayamba University of Sri Lanka, Makandura, Gonawila (NWP), Sri Lanka
Format:
Conference paper
Publication Date:
2017-01-23
Published:
Sri Lanka: Institute of Electrical and Electronics Engineers Inc.
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 162 Document Number: D08140
Notes:
16th International Conference on Advances in ICT for Emerging Regions, ICTer 2016; Jetwing BlueNegombo; Sri Lanka; 1 September 2016 through 3 September 2016; Category numberCFP1686L-ART; Code 126111. Article number 7829902, pp. 80-86
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.
