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Volume - 5 | Issue - 1 | march 2023

Spodoptera Litura Damage Severity Detection and Classification in Tomato Leaves Open Access
Sathesh A   455
Pages: 59-68
Cite this article
A, Sathesh. "Spodoptera Litura Damage Severity Detection and Classification in Tomato Leaves." Journal of Innovative Image Processing 5, no. 1 (2023): 59-68
DOI
10.36548/jiip.2023.1.005
Published
10 May, 2023
Abstract

Agriculture plays a key role in global economy. Tomato is India's third most prioritized crop after potato and onion, but it is the world's second most prioritized crop after potato. Worldwide, India ranks second in tomato production. However, Tomato crop is constantly threatened by different pest infections. The most significant pest infection that highly affects the tomato crop yield is Spodoptera Litura. Emerging from the family of Noctuidae with vigorous eating pattern, this insect primarily feed on leaves and fruits by leaving the entire crop completely destroyed. Monitoring the pest spread dynamics will reduce the probability of an outbreak. Early detection of pests can assist farmers in taking the required precautions to limit the spread of the infection. This paper provides a brief introduction to performs an assessment on the infection spread by Spodoptera Litura in the tomato plants. Here, the plants are classified as low, moderate and high pest infestation and further the severity of the damage is assessed by analyzing the number of S. Litura Larvae present in Tomato crop and also the percentage of pest infestation in tomato plants. The primary goal of this research study is to detect pests as early as possible and decline the usage of pesticides on the crops by taking early sustainable alternative measures.

Keywords

Spodoptera Litura tomoto leaves disease detection pest dynamics severity analysis

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