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

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'scredibility. It also improves with the subject's integration and summary. This article briefly discusses the detection of disease and classificationto 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.

Authors and Affiliations

Puneeth B. R ,Nethravathi P. S.

Keywords

Related Articles

A Study on the Role of Precision Agriculture in Agro-Industry

Purpose: Agriculture is a vast field that necessitates the assistance of disciplines from other fields in order to properly grow. In recent days Information technology is been used in agriculture that helps in the ef...

Use of Natural Language Processing in Software Requirements Prioritization–A Systematic Literature Review

Purpose: Research involves the creation and implementation of new ideas by keeping the existing work as a foundation. The literature review done in this paper is to familiarise and to know about the domain o...

Forward Kinematics Demonstration of 6DF Robot using CoppeliaSim and C#

Purpose: Robot researchers need the simulator to test their functions and algorithm before implementing into the real Robot. When we search for a good simulator, a customizable Robot simulator is not available to the r...

Green Nanotechnology Innovations to Realize UN Sustainable Development Goals 2030

Purpose:Adoption of suitable technology and managing it strategically to solve social problems of the world is the need of the hour. United nations being a multi-country membership organization, has announced 1...

Forward and Inverse Kinematics Demonstration using RoboDK and C#

Purpose: Robot researchers need a simulator to understand better the algorithm on path planning, arm movement, and many more. They need a good simulator. RoboDK is an excellent simulator to fulfill the research work. I...

Download PDF file
  • EP ID EP713644
  • DOI https://doi.org/10.5281/zenodo.5773853
  • Views 139
  • Downloads 0

How To Cite

Puneeth B. R, Nethravathi P. S. (2021). A Literature Review of the Detection and Categorization of various Arecanut Diseases using Image Processing and Machine Learning Approaches. INTERNATIONAL JOURNAL OF APPLIED ENGINEERING AND MANAGEMENT LETTERS (IJAEML), 5(2), -. https://europub.co.uk/articles/-A-713644