Moussa El Jarroudi, Louis Kouadio, Philippe Delfosse, Clive H. Bock, Anne-Katrin Mahlein, Xavier Fettweis, Benoit Mercatoris, Frank Adams, Jillian M. Lenné, Said Hamdioui
{"title":"Leveraging edge artificial intelligence for sustainable agriculture","authors":"Moussa El Jarroudi, Louis Kouadio, Philippe Delfosse, Clive H. Bock, Anne-Katrin Mahlein, Xavier Fettweis, Benoit Mercatoris, Frank Adams, Jillian M. Lenné, Said Hamdioui","doi":"10.1038/s41893-024-01352-4","DOIUrl":null,"url":null,"abstract":"Effectively feeding a burgeoning world population is one of the main goals of sustainable agricultural practices. Digital technology, such as edge artificial intelligence (AI), has the potential to introduce substantial benefits to agriculture by enhancing farming practices that can improve agricultural production efficiency, yield, quality and safety. However, the adoption of edge AI faces several challenges, including the need for innovative and efficient edge AI solutions and greater investment in infrastructure and training, all compounded by various environmental, social and economic constraints. Here we provide a roadmap for leveraging edge AI at the intersection of food production and sustainability. Digital technology is increasingly being used to address food security issues against the backdrop of anthropogenic stressors such as climate change and resource scarcity. This Perspective discusses ways to effectively deploy edge AI in food production systems to improve agricultural sustainability.","PeriodicalId":19056,"journal":{"name":"Nature Sustainability","volume":"7 7","pages":"846-854"},"PeriodicalIF":25.7000,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Sustainability","FirstCategoryId":"93","ListUrlMain":"https://www.nature.com/articles/s41893-024-01352-4","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Effectively feeding a burgeoning world population is one of the main goals of sustainable agricultural practices. Digital technology, such as edge artificial intelligence (AI), has the potential to introduce substantial benefits to agriculture by enhancing farming practices that can improve agricultural production efficiency, yield, quality and safety. However, the adoption of edge AI faces several challenges, including the need for innovative and efficient edge AI solutions and greater investment in infrastructure and training, all compounded by various environmental, social and economic constraints. Here we provide a roadmap for leveraging edge AI at the intersection of food production and sustainability. Digital technology is increasingly being used to address food security issues against the backdrop of anthropogenic stressors such as climate change and resource scarcity. This Perspective discusses ways to effectively deploy edge AI in food production systems to improve agricultural sustainability.
期刊介绍：
Nature Sustainability aims to facilitate cross-disciplinary dialogues and bring together research fields that contribute to understanding how we organize our lives in a finite world and the impacts of our actions.
Nature Sustainability will not only publish fundamental research but also significant investigations into policies and solutions for ensuring human well-being now and in the future.Its ultimate goal is to address the greatest challenges of our time.
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