Journal ID : AMA-28-08-2021-10657
[This article belongs to Volume - 52, Issue - 01]
Total View : 453

Title : Standardization of Rugose Spiralling Whitefly field level images for Artificial Intelligence application on Coconut gardens

Abstract :

Coconut is referred as the tree of heaven, as it provides various products to the people. Coconut is grown in over 86 countries in the world with a production of 54 billion coconuts every year. Aleurodicus rugioperculatus Martin (Hemiptera: Aleyrodidae), commonly known as the Rugose Spiralling Whitefly (RSW), is commonly observed on coconut palm. The invasive pest RWS causes stress to coconut plant by removing nutrient and water and also produces honeydew which causes heavy loss to the coconut gardens. There is a need for early identification of RSW with the field level images using Artificial Intelligence. The images are collected from the field at three levels, 1. healthy leaflets 2. RSW infestation leaflets and 3. Scooty mould leaflets, of which the images are standardized by using Artificial Intelligence application, Random Forest Classifier is used to classify the images and it is an early warning system for better management of coconut gardens.

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