CLASSIFICATION OF ARECANUT USING DIGITAL IMAGE PROCESSING

CLASSIFICATION OF ARECANUT USING DIGITAL IMAGE PROCESSING

NAYANA T#1, DR.T.D.SHASHIKALA#2

1MTech, Department of ECE, University BDT College of Engineering, Davanagere, Karnataka.

2 Associate Professor, Department of ECE, University BDT College of Engineering, Davanagere, Karnataka.

Abstract— In agricultural domain research, image processing and machine learning techniques play an important role. One of India’s major cash crops is arecanut. A significant challenge in the field of agriculture is the grouping of arecanut. Arecanut categorization using image processing is an emerging field of research that aims to automate the process of grouping arecanut based on its color and shape using digital images. This paper presents a classification of Arecanut using Convolutional Neural Networks.

General Terms

Image Processing, Classification

Keywords

Arecanut classification, Machine learning, Convolutional Neural Networks, Deep learning.