{"title":"A Novel Framework for Smart Agriculture using Internet of Things and Enabling Technologies","authors":"Z. Haq, Z. Jaffery, S. Mehfuz","doi":"10.1109/ICONAT53423.2022.9725953","DOIUrl":null,"url":null,"abstract":"To provide sustainable and efficient standards in agriculture industry, an innovative method of Smart Farming is being taken up as an initiative under the umbrella of Industry 4.0. Using enabling technologies: Internet of Things, Artificial Intelligence, Machine Learning, cloud computing, and other technological advancements, a new domain for agriculture is presented to the world. The idea of smart agriculture is progressively picking up pace around the globe and each country is developing a model based on their infrastructure prowess. At the center of smart agriculture consists of sensors and actuators embedded into the design to provide necessary input for efficient decision making. In this paper we have proposed a tow level framework for establishing a smart agriculture model based on Internet of Things. The first level deals with the decision making about the harvesting of the agriculture sample and the second level of the framework deals with the storage and transfer of information based on sensory information from the agricultural region of interest. This paper also discusses various enabling technologies for effective implementation of smart agriculture. This paper further discusses about the challenges and issues concerning the implementation of smart agriculture effectively.","PeriodicalId":377501,"journal":{"name":"2022 International Conference for Advancement in Technology (ICONAT)","volume":"34 11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference for Advancement in Technology (ICONAT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICONAT53423.2022.9725953","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
To provide sustainable and efficient standards in agriculture industry, an innovative method of Smart Farming is being taken up as an initiative under the umbrella of Industry 4.0. Using enabling technologies: Internet of Things, Artificial Intelligence, Machine Learning, cloud computing, and other technological advancements, a new domain for agriculture is presented to the world. The idea of smart agriculture is progressively picking up pace around the globe and each country is developing a model based on their infrastructure prowess. At the center of smart agriculture consists of sensors and actuators embedded into the design to provide necessary input for efficient decision making. In this paper we have proposed a tow level framework for establishing a smart agriculture model based on Internet of Things. The first level deals with the decision making about the harvesting of the agriculture sample and the second level of the framework deals with the storage and transfer of information based on sensory information from the agricultural region of interest. This paper also discusses various enabling technologies for effective implementation of smart agriculture. This paper further discusses about the challenges and issues concerning the implementation of smart agriculture effectively.