葡萄病害鉴定方法

M. Hnatiuc, B. Hnatiuc, S. Sintea, S. Ghita, A. Ranca, V. Artem, Bogdan Savin
{"title":"葡萄病害鉴定方法","authors":"M. Hnatiuc, B. Hnatiuc, S. Sintea, S. Ghita, A. Ranca, V. Artem, Bogdan Savin","doi":"10.1109/SIITME53254.2021.9663649","DOIUrl":null,"url":null,"abstract":"The new technology using IoT (Internet of Think) is very used in smart farm. The studies for developing intelligent farm are underway in all countries. In Romania the IoT sensors are used on the field to supervised the plants. This paper present a study about the disease identification in the vine using the IoT sensors network. The sensors are placed on two regions on the field Murfatlar which have the altitude differences. The parameter collected are compared and corelated. The data are sent on the Azure cloud using LORA protocol communication. The data processing using TensorFlow, open source software.","PeriodicalId":426485,"journal":{"name":"2021 IEEE 27th International Symposium for Design and Technology in Electronic Packaging (SIITME)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"The Methods for Vine Disease Identification\",\"authors\":\"M. Hnatiuc, B. Hnatiuc, S. Sintea, S. Ghita, A. Ranca, V. Artem, Bogdan Savin\",\"doi\":\"10.1109/SIITME53254.2021.9663649\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The new technology using IoT (Internet of Think) is very used in smart farm. The studies for developing intelligent farm are underway in all countries. In Romania the IoT sensors are used on the field to supervised the plants. This paper present a study about the disease identification in the vine using the IoT sensors network. The sensors are placed on two regions on the field Murfatlar which have the altitude differences. The parameter collected are compared and corelated. The data are sent on the Azure cloud using LORA protocol communication. The data processing using TensorFlow, open source software.\",\"PeriodicalId\":426485,\"journal\":{\"name\":\"2021 IEEE 27th International Symposium for Design and Technology in Electronic Packaging (SIITME)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"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/SIITME53254.2021.9663649\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","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/SIITME53254.2021.9663649","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

利用物联网(IoT)的新技术在智能农场中得到了广泛的应用。发展智能农场的研究在世界各国都在进行。在罗马尼亚,物联网传感器被用于现场监督工厂。本文介绍了利用物联网传感器网络对葡萄病害进行识别的研究。传感器被放置在Murfatlar战场上两个有高度差异的区域。将收集到的参数进行比较和关联。数据通过LORA协议通信在Azure云中发送。数据处理采用TensorFlow,开源软件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Methods for Vine Disease Identification
The new technology using IoT (Internet of Think) is very used in smart farm. The studies for developing intelligent farm are underway in all countries. In Romania the IoT sensors are used on the field to supervised the plants. This paper present a study about the disease identification in the vine using the IoT sensors network. The sensors are placed on two regions on the field Murfatlar which have the altitude differences. The parameter collected are compared and corelated. The data are sent on the Azure cloud using LORA protocol communication. The data processing using TensorFlow, open source software.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信