M. Hnatiuc, A. Ranca, V. Artem, B. Hnatiuc, S. Sintea, S. Ghita
{"title":"IoT Technology Used in Vineyard Monitoring","authors":"M. Hnatiuc, A. Ranca, V. Artem, B. Hnatiuc, S. Sintea, S. Ghita","doi":"10.1109/SIITME53254.2021.9663713","DOIUrl":null,"url":null,"abstract":"The environment parameters are used for the vines behavior identification. The new Internet of Things (IoT) technology is used in Precision Farm (PF) practices correlated with machine learning algorithms (ML) leading to conceptual innovations of smart farms. This paper present studies results of the vineyard monitoring using the soil and weather parameters in the farm. The IoT sensors send data to the cloud and using PYTHON open source software the results are correlated and classified. The IoT system and methods are briefly described in the first part of the paper.","PeriodicalId":426485,"journal":{"name":"2021 IEEE 27th International Symposium for Design and Technology in Electronic Packaging (SIITME)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 27th International Symposium for Design and Technology in Electronic Packaging (SIITME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIITME53254.2021.9663713","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 environment parameters are used for the vines behavior identification. The new Internet of Things (IoT) technology is used in Precision Farm (PF) practices correlated with machine learning algorithms (ML) leading to conceptual innovations of smart farms. This paper present studies results of the vineyard monitoring using the soil and weather parameters in the farm. The IoT sensors send data to the cloud and using PYTHON open source software the results are correlated and classified. The IoT system and methods are briefly described in the first part of the paper.