基于人工智能的养殖场鱼病检测系统,帮助微型和小型养殖户

Narayana Darapaneni, S. Sreekanth, A. Paduri, Anthony Shohan Roche, V. Murugappan, Keisham Kiron Singha, Amey V Shenwai
{"title":"基于人工智能的养殖场鱼病检测系统,帮助微型和小型养殖户","authors":"Narayana Darapaneni, S. Sreekanth, A. Paduri, Anthony Shohan Roche, V. Murugappan, Keisham Kiron Singha, Amey V Shenwai","doi":"10.1109/irtm54583.2022.9791553","DOIUrl":null,"url":null,"abstract":"Micro and small scale Fish Farmers play a crucial role in the inland Fish farming Industry. Fish farmers in this segment face certain unique problems. One of which is the diseases affecting the fishes being cultured on their farm. Maintaining sustained Health of the fishes is essential, failing which, these farmers are liable to suffer heavy losses. Manual observation by the trained farmers, plays a key role at present, to maintain sustained observation to detect the onset of a disease in the fish farming pen or pond. This method has a severe drawback, in that it has an inherently high level of error and also a higher time lag between observations that is practically possible. In order to remove these drawbacks and increase overall efficiency in timely detection of the onset of diseases in the fishes, in any given pen or pond, an AI-based disease detection system is envisaged. This system covers periodical optical monitoring of the fishes in the farm, detecting the onset of any disease, with a minimum time lag and sending instant messages to all the stakeholders to enable them to initiate remedial action. This approach is bound to pre-empt suffering of financial loss by the farmers, due to the death of the fish.","PeriodicalId":426354,"journal":{"name":"2022 Interdisciplinary Research in Technology and Management (IRTM)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"AI Based Farm Fish Disease Detection System to Help Micro and Small Fish Farmers\",\"authors\":\"Narayana Darapaneni, S. Sreekanth, A. Paduri, Anthony Shohan Roche, V. Murugappan, Keisham Kiron Singha, Amey V Shenwai\",\"doi\":\"10.1109/irtm54583.2022.9791553\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Micro and small scale Fish Farmers play a crucial role in the inland Fish farming Industry. Fish farmers in this segment face certain unique problems. One of which is the diseases affecting the fishes being cultured on their farm. Maintaining sustained Health of the fishes is essential, failing which, these farmers are liable to suffer heavy losses. Manual observation by the trained farmers, plays a key role at present, to maintain sustained observation to detect the onset of a disease in the fish farming pen or pond. This method has a severe drawback, in that it has an inherently high level of error and also a higher time lag between observations that is practically possible. In order to remove these drawbacks and increase overall efficiency in timely detection of the onset of diseases in the fishes, in any given pen or pond, an AI-based disease detection system is envisaged. This system covers periodical optical monitoring of the fishes in the farm, detecting the onset of any disease, with a minimum time lag and sending instant messages to all the stakeholders to enable them to initiate remedial action. This approach is bound to pre-empt suffering of financial loss by the farmers, due to the death of the fish.\",\"PeriodicalId\":426354,\"journal\":{\"name\":\"2022 Interdisciplinary Research in Technology and Management (IRTM)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Interdisciplinary Research in Technology and Management (IRTM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/irtm54583.2022.9791553\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Interdisciplinary Research in Technology and Management (IRTM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/irtm54583.2022.9791553","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

微型和小型养鱼户在内陆养鱼业中起着至关重要的作用。这部分养殖户面临着某些独特的问题。其中之一是影响养殖场养殖鱼类的疾病。保持鱼类的持续健康是至关重要的,否则,这些农民可能会遭受重大损失。由训练有素的养殖户进行人工观察,目前在维持持续观察以发现养鱼场或池塘中疾病的发作方面起着关键作用。这种方法有一个严重的缺点,即它具有固有的高误差水平,并且在实际可能的观测之间存在较高的时间滞后。为了消除这些缺点,提高在任何给定的围栏或池塘中及时检测鱼类疾病发作的整体效率,设想了一种基于人工智能的疾病检测系统。该系统包括对养殖场中的鱼类进行定期光学监测,以最小的滞后时间检测任何疾病的发生,并向所有利益攸关方发送即时信息,使他们能够采取补救行动。这种做法必然会避免农民因鱼的死亡而遭受经济损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI Based Farm Fish Disease Detection System to Help Micro and Small Fish Farmers
Micro and small scale Fish Farmers play a crucial role in the inland Fish farming Industry. Fish farmers in this segment face certain unique problems. One of which is the diseases affecting the fishes being cultured on their farm. Maintaining sustained Health of the fishes is essential, failing which, these farmers are liable to suffer heavy losses. Manual observation by the trained farmers, plays a key role at present, to maintain sustained observation to detect the onset of a disease in the fish farming pen or pond. This method has a severe drawback, in that it has an inherently high level of error and also a higher time lag between observations that is practically possible. In order to remove these drawbacks and increase overall efficiency in timely detection of the onset of diseases in the fishes, in any given pen or pond, an AI-based disease detection system is envisaged. This system covers periodical optical monitoring of the fishes in the farm, detecting the onset of any disease, with a minimum time lag and sending instant messages to all the stakeholders to enable them to initiate remedial action. This approach is bound to pre-empt suffering of financial loss by the farmers, due to the death of the fish.
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