智能菠萝种植助理代理(SIPFAA)

W.A.I.U. Bandara, K. Kuruppuarachchi, N.N.D. Maduwantha, Udara Srimath S. Samaratunge Arachchillage, Tt Alwis, Thilmi Kuruppu
{"title":"智能菠萝种植助理代理(SIPFAA)","authors":"W.A.I.U. Bandara, K. Kuruppuarachchi, N.N.D. Maduwantha, Udara Srimath S. Samaratunge Arachchillage, Tt Alwis, Thilmi Kuruppu","doi":"10.1109/ICAC57685.2022.10025103","DOIUrl":null,"url":null,"abstract":"Pineapple cultivation has higher demand among the farming communities as a growing concern to engender foreign currency and as a means of earning more profit in the export industry of Sri Lanka. As a result, developing a good communication platform among the farming communities, experts and customers has become a key concern and would immensely contribute to its sustainability. According to our observations, key concerns to be addressed and supported by farmers on behalf of decision making to determine net profit for the yield are instructing to remedies for pineapple diseases at the right time, resolving issues during pineapple plantation, and getting guidance from experts in different phases of pineapple cultivation. Generating a product differentiation plan to gain the maximum benefit from the pineapple harvest is another goal that the proposed system would fulfill for farmers. The proposed mobile application solution, the Smart Intelligent Pineapple Farming Assistant Agent (SIPFAA), uses convolution neural networks (CNN) to identify diseases related to pineapples and uses a knowledgebase and chatbot to behave as a human counterpart. Further, a product differentiation plan would provide a sensible approach to gain a profit by analyzing the trends in the market while providing a recommendation system for buyer-seller interactions. As the initiators of applying these technologies to the pineapple domain, higher accuracy and a better harvest are expected through the proposed solution.","PeriodicalId":292397,"journal":{"name":"2022 4th International Conference on Advancements in Computing (ICAC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Smart Intelligent Pineapple Farming Assistant Agent (SIPFAA)\",\"authors\":\"W.A.I.U. Bandara, K. Kuruppuarachchi, N.N.D. Maduwantha, Udara Srimath S. Samaratunge Arachchillage, Tt Alwis, Thilmi Kuruppu\",\"doi\":\"10.1109/ICAC57685.2022.10025103\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Pineapple cultivation has higher demand among the farming communities as a growing concern to engender foreign currency and as a means of earning more profit in the export industry of Sri Lanka. As a result, developing a good communication platform among the farming communities, experts and customers has become a key concern and would immensely contribute to its sustainability. According to our observations, key concerns to be addressed and supported by farmers on behalf of decision making to determine net profit for the yield are instructing to remedies for pineapple diseases at the right time, resolving issues during pineapple plantation, and getting guidance from experts in different phases of pineapple cultivation. Generating a product differentiation plan to gain the maximum benefit from the pineapple harvest is another goal that the proposed system would fulfill for farmers. The proposed mobile application solution, the Smart Intelligent Pineapple Farming Assistant Agent (SIPFAA), uses convolution neural networks (CNN) to identify diseases related to pineapples and uses a knowledgebase and chatbot to behave as a human counterpart. Further, a product differentiation plan would provide a sensible approach to gain a profit by analyzing the trends in the market while providing a recommendation system for buyer-seller interactions. As the initiators of applying these technologies to the pineapple domain, higher accuracy and a better harvest are expected through the proposed solution.\",\"PeriodicalId\":292397,\"journal\":{\"name\":\"2022 4th International Conference on Advancements in Computing (ICAC)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 4th International Conference on Advancements in Computing (ICAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAC57685.2022.10025103\",\"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 4th International Conference on Advancements in Computing (ICAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAC57685.2022.10025103","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

菠萝种植在农业社区中有较高的需求,因为它越来越受到关注,可以产生外汇,并作为斯里兰卡出口行业赚取更多利润的手段。因此,在农业社区、专家和客户之间建立一个良好的交流平台已成为一个关键问题,并将极大地促进其可持续性。根据我们的观察,代表决策决定产量净利润的农民需要解决和支持的关键问题是适时指导对菠萝病害的补救措施,解决菠萝种植过程中的问题,以及在菠萝种植的不同阶段获得专家的指导。制定产品差异化计划以从菠萝收获中获得最大利益是该系统将为农民实现的另一个目标。提出的移动应用解决方案,智能菠萝养殖助理代理(SIPFAA),使用卷积神经网络(CNN)来识别与菠萝相关的疾病,并使用知识库和聊天机器人作为人类同行。此外,产品差异化计划将提供一个合理的方法,通过分析市场趋势来获得利润,同时提供一个买卖双方互动的推荐系统。作为将这些技术应用于菠萝领域的发起者,期望通过提出的解决方案获得更高的精度和更好的收获。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Smart Intelligent Pineapple Farming Assistant Agent (SIPFAA)
Pineapple cultivation has higher demand among the farming communities as a growing concern to engender foreign currency and as a means of earning more profit in the export industry of Sri Lanka. As a result, developing a good communication platform among the farming communities, experts and customers has become a key concern and would immensely contribute to its sustainability. According to our observations, key concerns to be addressed and supported by farmers on behalf of decision making to determine net profit for the yield are instructing to remedies for pineapple diseases at the right time, resolving issues during pineapple plantation, and getting guidance from experts in different phases of pineapple cultivation. Generating a product differentiation plan to gain the maximum benefit from the pineapple harvest is another goal that the proposed system would fulfill for farmers. The proposed mobile application solution, the Smart Intelligent Pineapple Farming Assistant Agent (SIPFAA), uses convolution neural networks (CNN) to identify diseases related to pineapples and uses a knowledgebase and chatbot to behave as a human counterpart. Further, a product differentiation plan would provide a sensible approach to gain a profit by analyzing the trends in the market while providing a recommendation system for buyer-seller interactions. As the initiators of applying these technologies to the pineapple domain, higher accuracy and a better harvest are expected through the proposed solution.
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
期刊最新文献
Emission Activity Parts Extraction using custom Named Entity Recognition Solid-Waste Management System for Urban Sri Lanka Using IOT and Machine Learning SMART DIARY: Autonomous System for Daily Diary Creation and Prioritization of Daily Activities for Improved Well-Being Using Neural Networks and Machine Learning Assistant Zone – Homeschooling Assistance System based on Natural Language Processing DevFlair: A Framework to Automate the Pre-screening Process of Software Engineering Job Candidates
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1