A Literature Review of the Detection and Categorization of various Arecanut Diseases using Image Processing and Machine Learning Approaches

Puneeth B. R., Nethravathi P. S.
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引用次数: 11

Abstract

Background/Purpose: Every scholarly research project starts with a survey of the literature, which acts as a springboard for new ideas. The purpose of this literature review is to become familiar with the study domain and to assess the work's credibility. It also improves with the subject's integration and summary. This article briefly discusses the detection of disease and classification to achieve the objectives of the study. Objective: The main objective of this literature survey is to explore the different techniques applied to identify and classify the various diseases on arecanut. This paper also recommends the methodology and techniques that can be used to achieve the objectives of the study. Design/Methodology/Approach: Multiple data sources, such as journals, conference proceedings, books, and research papers published in reputable journals, were used to compile the essential literature on the chosen topic and collect information from the arecanuts research centre and many farmers in the south Canara and Udupi districts, before narrowing down the literature that is relevant to the research work. The shortlisted literature was carefully assessed by reading each paper and taking notes as appropriate. The information gathered is then examined to identify the potential gap in the study. Findings/Result: Based on the analysis of the papers reviewed, discussion with farmers and research center officers, it is observed that, not much work is carried out in the field of disease identification and classification on arecanut using machine learning techniques. This survey paper recommends techniques and the methodology that can be applied to identify and classify the diseases in arecanut and to classify them in to healthy and unhealthy. Research limitations/implications: The literature review mentioned in this paper are detection and classification of different diseases in arecanut. Originality/Value: This paper focuses on various online research journals, conference papers, technical books, and web articles. Paper Type: Literature review paper on techniques and methods used to achieve the objectives.
利用图像处理和机器学习方法检测和分类各种槟榔疾病的文献综述
背景/目的:每一个学术研究项目都是从文献综述开始的,这是一个新思想的跳板。本文献综述的目的是熟悉研究领域,并评估工作的可信度。并随着主体的整合和总结而不断完善。本文简要论述了疾病的检测和分类,以达到研究的目的。目的:本文献综述的主要目的是探讨槟榔不同病害的鉴别和分类方法。本文还推荐了可用于实现研究目标的方法和技术。设计/方法/方法:多种数据来源,如期刊、会议记录、书籍和发表在知名期刊上的研究论文,用于编制所选主题的基本文献,并从南卡纳拉和乌杜皮地区的槟榔研究中心和许多农民那里收集信息,然后缩小与研究工作相关的文献。通过阅读每篇论文并酌情做笔记,对入围文献进行仔细评估。然后对收集到的信息进行检查,以确定研究中的潜在差距。发现/结果:通过对文献的分析,与农民和研究中心工作人员的讨论,发现利用机器学习技术在槟榔病害识别和分类领域开展的工作并不多。这份调查报告建议了可用于确定和分类槟榔中的疾病并将其分为健康和不健康的技术和方法。研究局限性/意义:本文所述的文献综述是槟榔不同疾病的检测和分类。原创性/价值:本文着重于各种在线研究期刊、会议论文、技术书籍和网络文章。论文类型:文献综述论文所采用的技术和方法,以实现目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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