Affiliation:
1. Research Scholar, College of Computer Science and Information Science, Srinivas University, Mangaluru, India
2. Professor, College of Computer Science and Information Science, Srinivas University, Mangaluru, India
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.
Reference103 articles.
1. Nair, K. P. (2021). Arecanut (Areca catechu L.). In Tree Crops, 1(1), 1-25. Springer, Cham.
2. Mitra, S. K., & Devi, H. (2016). Arecanut in India-present situation and prospects. In International Symposia on Tropical and Temperate Horticulture-ISTTH2016 1205, 1(1), 789-794.
3. Ramappa, B. T., & Manjunatha, M. S. (2013). Cost cultivation of areca nut non-traditional region of Karnataka-An analysis. International Journal of Pharmaceutical Science Invention, 2(3), 25-31.
4. Musdja, M. Y., Nurdin, A., & Musir, A. (2020). Antidiabetic effect and glucose tolerance of arecanut (Areca catechu) seed ethanol extract on alloxan-induced diabetic male rats. In IOP Conference Series: Earth and Environmental Science, 462(1), 1-9.
5. Arjungi, K. N. (1976). Areca nut: a review. Arzneimittel-forschung, 26(5), 951-956.
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