{"title":"Advanced Irrigation and Cultivation System Based on Machine Learning in IOT Environment","authors":"A. Chaugule, Poonam Gupta","doi":"10.1109/CSCITA55725.2023.10104638","DOIUrl":null,"url":null,"abstract":"The Internet of things is a contemporary technology that acknowledges the amount of data amassed over time by multiple sensors, with a variety of uses. The IoT techniques drive results in high volume, real-time data streams that are grounded on an application’s features. Agriculture and irrigation are the most fundamental industries in the modern world. As the developments in machine learning (ML) and the internet of things, researchers have been able to implement this automation in agriculture to the advantage of farmers (IoT). Machine Learning helps farmers to maximize output by addressing mineral deficiencies, managing pests, enhancing crop yields, measuring humidity, temperature, soil moisture, water levels and fostering more sustainable agricultural practices.","PeriodicalId":224479,"journal":{"name":"2023 International Conference on Communication System, Computing and IT Applications (CSCITA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Communication System, Computing and IT Applications (CSCITA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCITA55725.2023.10104638","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
The Internet of things is a contemporary technology that acknowledges the amount of data amassed over time by multiple sensors, with a variety of uses. The IoT techniques drive results in high volume, real-time data streams that are grounded on an application’s features. Agriculture and irrigation are the most fundamental industries in the modern world. As the developments in machine learning (ML) and the internet of things, researchers have been able to implement this automation in agriculture to the advantage of farmers (IoT). Machine Learning helps farmers to maximize output by addressing mineral deficiencies, managing pests, enhancing crop yields, measuring humidity, temperature, soil moisture, water levels and fostering more sustainable agricultural practices.