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Title

A Computer Vision Technique to Detect Scab on Malabar Nightshade

Author

Mayen Uddin Mojumdar, Narayan Ranjan Chakraborty ,

Email

narayan@daffodilvarsity.edu.bd

Abstract

Agribusiness and its efficiency have a decent effect on the financial development of each nation. In Agriculture, leaf ailments have become an issue because it may a create basic decline in both quality and measure of agrarian output. In this manner, computerized acknowledgement of ailments on leaves assumes a significant job in the farming area. This paper gives a basic and computationally capable strategy utilized for leaf sickness recognizable proof and reviewing utilizing Image processing and computer vision. In this study, a computerized approach is created to distinguish deformities of Malabar nightshade and perceive infections by utilizing machine vision-based picture preparing method which is actualized in MATLAB including an AI calculation with the Multiclass SVM classifier.

Keywords

Malabar , nightshade , computer vision , disease

Journal or Conference Name

11th International Conference on Computing, Communication and Networking Technologies, ICCCNT 2020

Publication Year

2020

Indexing

scopus