利用图像处理技术保护超级食品橄榄作物免受害虫和病原体的侵害

IF 0.8 Q4 NUTRITION & DIETETICS Current Nutrition & Food Science Pub Date : 2021-12-27 DOI:10.2174/1573401318666211227103001
S. Sisodiya, A. Sinha, M. Debnath, R. Shekhawat, Surinder Singh Skehkawat
{"title":"利用图像处理技术保护超级食品橄榄作物免受害虫和病原体的侵害","authors":"S. Sisodiya, A. Sinha, M. Debnath, R. Shekhawat, Surinder Singh Skehkawat","doi":"10.2174/1573401318666211227103001","DOIUrl":null,"url":null,"abstract":"\n\nOlive (Oleo europaea L.) cultivars are widely cultivated all over the world. But it is often attacked by pests and pathogens. This deteriorates the quality of the crop leading to less yield of olive oil. Image processing techniques can be used to classify the different pathogens causing similar disease symptoms on olive leaves\n\n\n\nWith the rapid increase in the availability of data in the field of nutrigenomics, the olive has established itself as a superfood and a potential source of therapeutics. The objective of this review is to emphasize the early detection and classification of the disease using image processing techniques\n\n\n\nA systematic literature search using keywords, Olive oil, pest and pathogen of olives, metabolic profiling were done on PubMed, ScienceDirect and Google Scholar.\n\n\n\nDisease infection often led to huge losses and poor quality of olive oil yield. Early understanding of disease infestations can safeguard the olive plant and the olive oil yield\n\n\n\nDisease infection often led to huge losses and poor quality of olive oil yield. Early understanding of disease infestations can safeguard the olive plant and the olive oil yield\n","PeriodicalId":10944,"journal":{"name":"Current Nutrition & Food Science","volume":null,"pages":null},"PeriodicalIF":0.8000,"publicationDate":"2021-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Protecting Superfood Olive Crop from Pests and Pathogen Using Image Processing Techniques: A Review\",\"authors\":\"S. Sisodiya, A. Sinha, M. Debnath, R. Shekhawat, Surinder Singh Skehkawat\",\"doi\":\"10.2174/1573401318666211227103001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n\\nOlive (Oleo europaea L.) cultivars are widely cultivated all over the world. But it is often attacked by pests and pathogens. This deteriorates the quality of the crop leading to less yield of olive oil. Image processing techniques can be used to classify the different pathogens causing similar disease symptoms on olive leaves\\n\\n\\n\\nWith the rapid increase in the availability of data in the field of nutrigenomics, the olive has established itself as a superfood and a potential source of therapeutics. The objective of this review is to emphasize the early detection and classification of the disease using image processing techniques\\n\\n\\n\\nA systematic literature search using keywords, Olive oil, pest and pathogen of olives, metabolic profiling were done on PubMed, ScienceDirect and Google Scholar.\\n\\n\\n\\nDisease infection often led to huge losses and poor quality of olive oil yield. Early understanding of disease infestations can safeguard the olive plant and the olive oil yield\\n\\n\\n\\nDisease infection often led to huge losses and poor quality of olive oil yield. Early understanding of disease infestations can safeguard the olive plant and the olive oil yield\\n\",\"PeriodicalId\":10944,\"journal\":{\"name\":\"Current Nutrition & Food Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2021-12-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current Nutrition & Food Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/1573401318666211227103001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"NUTRITION & DIETETICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Nutrition & Food Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1573401318666211227103001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"NUTRITION & DIETETICS","Score":null,"Total":0}
引用次数: 3

摘要

橄榄(Oleo europaea L.)品种在世界各地都有广泛的栽培。但它经常受到害虫和病原体的攻击。这会降低作物的质量,导致橄榄油产量下降。图像处理技术可用于对橄榄叶上引起类似疾病症状的不同病原体进行分类。随着营养基因组学领域数据的快速增加,橄榄已成为超级食品和潜在的治疗来源。这篇综述的目的是强调使用图像处理技术对该疾病进行早期检测和分类。在PubMed、ScienceDirect和Google Scholar上使用关键词“橄榄油”、“橄榄病虫害和病原体”进行了系统的文献搜索,并进行了代谢分析。疾病感染往往导致橄榄油产量的巨大损失和低质量。早期了解病害可以保护橄榄植株和橄榄油产量。病害感染往往导致橄榄油产量的巨大损失和劣质。早期了解病害可以保护橄榄植物和橄榄油产量
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
Protecting Superfood Olive Crop from Pests and Pathogen Using Image Processing Techniques: A Review
Olive (Oleo europaea L.) cultivars are widely cultivated all over the world. But it is often attacked by pests and pathogens. This deteriorates the quality of the crop leading to less yield of olive oil. Image processing techniques can be used to classify the different pathogens causing similar disease symptoms on olive leaves With the rapid increase in the availability of data in the field of nutrigenomics, the olive has established itself as a superfood and a potential source of therapeutics. The objective of this review is to emphasize the early detection and classification of the disease using image processing techniques A systematic literature search using keywords, Olive oil, pest and pathogen of olives, metabolic profiling were done on PubMed, ScienceDirect and Google Scholar. Disease infection often led to huge losses and poor quality of olive oil yield. Early understanding of disease infestations can safeguard the olive plant and the olive oil yield Disease infection often led to huge losses and poor quality of olive oil yield. Early understanding of disease infestations can safeguard the olive plant and the olive oil yield
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
Current Nutrition & Food Science
Current Nutrition & Food Science NUTRITION & DIETETICS-
CiteScore
2.00
自引率
0.00%
发文量
144
期刊介绍: Current Nutrition & Food Science publishes frontier reviews on all the latest advances on basic and clinical nutrition and food sciences. The journal aims to publish the highest quality review articles dedicated to research in the field. The journal is essential reading for all nutrition and food scientists.
期刊最新文献
The Relationship between Taking Health Courses and Body Image Dissatisfaction in Young Medical Students Does “Moringa Miracle” Happen to You Ever? Nutritional Values of Foxtail Millet (Setaria italica) and other Millets Used for Common Diseases and Management Acknowledgements to Reviewers Determination of Viscosity of Browntop Millet Grain Paste and Whole Browntop Millet Flour Paste
×
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