S. Sisodiya, A. Sinha, M. Debnath, R. Shekhawat, Surinder Singh Skehkawat
{"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}
引用次数: 3
Abstract
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
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.