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Journal of Artificial Intelligence and Capsule Networks

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Volume - 1 | Issue - 1 | september 2019

PEST INFESTATION IDENTIFICATION IN COCONUT TREES USING DEEP LEARNING
Pages: 10-18
Published
September, 2019
Abstract

In this paper, we propose a precision agriculture technique to detect various pests in coconut trees with the help of NVIDIA Tegra System on Chip (SoC) along with a camera interfaced drone. The drone flies across the coconut farm and captures the images and processes the data using deep learning algorithm to identify the unhealthy and pest affected trees. The deep learning algorithm uses a set of sample pest database. The Artificial Intelligence (AI) machine learning algorithm is also capable of unsupervised learning from the images that are unstructured. The data is transferred directly to the farmer's smart phone with the help of wi-fi. This helps in timely treatment of pest infected trees and to improve the yield of the trees.

Keywords

Artificial Intelligence Deep Learning System-on-chip Pest control Image processing

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