{"title":"Agriculture 4.0 in Bangladesh: Issues and Challenges","authors":"Saleh Akram Joy, Arefin Ittesafun Abian, Shifa Chowdhury Iwase, Syed Ishtiak Rahman, Juairia, Tapotosh Ghosh, D. Farid","doi":"10.1109/SKIMA57145.2022.10029472","DOIUrl":null,"url":null,"abstract":"Agriculture 4.0 is emerging as the next big trend, with a focus on smart and precision agriculture to maximise benefits in the context of growing populations and climate change. Agriculture 4.0 supports the adoption of intelligent systems in all spheres of farming, harvesting, irrigation, and so on. Though there is enough inclusion of Artificial Intelligence and Internet of Things (IoT) based systems in developed countries, agriculture sector of Bangladesh did not receive that much attention. To mitigate this gap, a Big Data and IoT based architecture for crop, fisheries, and livestock has been proposed in this paper based on the existing research advancements around the world where different nodes and actuators will be implemented in field level to read environmental stimuli and forward to cloud server for processing. A thorough review work was performed on agriculture 4.0, and these framework were analysed from the perspective of Bangladesh. This paper will fulfil the requirement of a connection between the existing state of the art researches and its suitability in terms of a developing country like Bangladesh.","PeriodicalId":277436,"journal":{"name":"2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 14th International Conference on Software, Knowledge, Information Management and Applications (SKIMA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SKIMA57145.2022.10029472","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Agriculture 4.0 is emerging as the next big trend, with a focus on smart and precision agriculture to maximise benefits in the context of growing populations and climate change. Agriculture 4.0 supports the adoption of intelligent systems in all spheres of farming, harvesting, irrigation, and so on. Though there is enough inclusion of Artificial Intelligence and Internet of Things (IoT) based systems in developed countries, agriculture sector of Bangladesh did not receive that much attention. To mitigate this gap, a Big Data and IoT based architecture for crop, fisheries, and livestock has been proposed in this paper based on the existing research advancements around the world where different nodes and actuators will be implemented in field level to read environmental stimuli and forward to cloud server for processing. A thorough review work was performed on agriculture 4.0, and these framework were analysed from the perspective of Bangladesh. This paper will fulfil the requirement of a connection between the existing state of the art researches and its suitability in terms of a developing country like Bangladesh.