King, J.W. (author), Wakefield, M.W. (author), and College of Business Administration, University of Nebraska-Lincoln, NE; Institute of Agriculture and Natural Resources, Communication and Computing Service Unit, University of Nebraska-Lincoln, NE
Format:
Journal article
Publication Date:
1994
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 100 Document Number: C08574
6 pages, Advances in machine learning (ML) and artificial intelligence (AI) present an opportunity to build better tools and solutions to help address some of the world’s most pressing challenges, and deliver positive social impact in accordance with the priorities outlined in the United Nations’ 17 Sustainable Development Goals (SDGs). The AI for Social Good (AI4SG) movement aims to establish interdisciplinary partnerships centered around AI applications towards SDGs. We provide a set of guidelines for establishing successful long-term collaborations between AI researchers and application-domain experts, relate them to existing AI4SG projects and identify key opportunities for future AI applications targeted towards social good.
Fredericks, E.E. (author / Purdue University, Agricultural Communications Services, West Lafayette, IN) and Purdue University, Agricultural Communications Services, West Lafayette, IN
Format:
Journal article
Publication Date:
1986
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 57 Document Number: C01538
International: Pew Research Center, Washington, D.C.
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 133 Document Number: D11396
Notes:
10 pages., Via online from website., "Experts say the rise of artifical intelligence will make most people better off over the next decade, but many have concerns about how advances in AI will affect what it means to be human, to be productive and to exercise free will. Includes references to impacts on farmers, farming and climate.
8 pages, Food security is one of the priorities of every country in the World. However, different factors are making it difficult to meet global targets on food security. Some unprecedented shocks are encumbering food security at the global level. Various interventions have been applied toward food security and artificial intelligence is one of the modern methods that is being used in various stages of the food system. In this paper, the application of artificial intelligence in the whole food production ecosystem ranging from crop production, livestock production, harvesting/slaughtering, postharvest management, food processing, food distribution, food consumption and food waste management is assessed. The objective of this research is to assess the application of artificial intelligence systems in all the stages of food systems. A systematic review was conducted by analyzing 110 articles after the screening of 450 articles based on the inclusion and exclusion criteria. The results indicated that various artificial intelligence algorithms are being applied to all the stages of the food system from crop/livestock production up to food or agro-waste management.
