{"title":"An Innovative Smart and Sustainable Low-cost Irrigation System for Smallholder Farmers' Communities","authors":"Amine Dahane, R. Benameur, Bouabdellah Kechar","doi":"10.1109/EDiS57230.2022.9996498","DOIUrl":null,"url":null,"abstract":"The agricultural sector has several difficulties today in ensuring the safety of the food supply. However, the Internet of Things (IoT) has recently come to light as a promising remedy with several cutting-edge uses in smart farming. The study presents the design and development of a low-cost and full-featured fog-IoT/AI system. The system has been created using open-source platforms that monitor agro-field data in real-time. However, the smallholder community is hesitant to adopt technology-based solutions. The PRIMA INTEL-IRRIS project aims to make digital and smart agricultural technologies more appealing and available to these communities by advancing the idea of intelligent irrigation “in-the-box” This study explains a low-cost fog-IoT/AI system of version 1.0 fully targeted toward smallholder farmer communities (SFCs) and how it may provide the notion of intelligent irrigation “in-the-box” concept.","PeriodicalId":288133,"journal":{"name":"2022 3rd International Conference on Embedded & Distributed Systems (EDiS)","volume":"205 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 3rd International Conference on Embedded & Distributed Systems (EDiS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDiS57230.2022.9996498","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The agricultural sector has several difficulties today in ensuring the safety of the food supply. However, the Internet of Things (IoT) has recently come to light as a promising remedy with several cutting-edge uses in smart farming. The study presents the design and development of a low-cost and full-featured fog-IoT/AI system. The system has been created using open-source platforms that monitor agro-field data in real-time. However, the smallholder community is hesitant to adopt technology-based solutions. The PRIMA INTEL-IRRIS project aims to make digital and smart agricultural technologies more appealing and available to these communities by advancing the idea of intelligent irrigation “in-the-box” This study explains a low-cost fog-IoT/AI system of version 1.0 fully targeted toward smallholder farmer communities (SFCs) and how it may provide the notion of intelligent irrigation “in-the-box” concept.