dc.contributor.author |
Mojumdar, Mayen Uddin |
|
dc.contributor.author |
Chakraborty, Narayan Ranjan |
|
dc.date.accessioned |
2021-08-19T07:24:51Z |
|
dc.date.available |
2021-08-19T07:24:51Z |
|
dc.date.issued |
2020-10-15 |
|
dc.identifier.uri |
http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/6004 |
|
dc.description.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. |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
IEEE |
en_US |
dc.subject |
Diseases |
en_US |
dc.subject |
Computer vision |
en_US |
dc.subject |
Support vector machines |
en_US |
dc.subject |
Agriculture |
en_US |
dc.subject |
Logistics |
en_US |
dc.subject |
Sensitivity |
en_US |
dc.subject |
Image segmentation |
en_US |
dc.title |
A Computer Vision Technique to Detect Scab on Malabar Nightshade |
en_US |
dc.type |
Article |
en_US |