Computer Vision Framework for Wheat Disease Identification and Classification Using Jetson GPU Infrastructure

Computer Vision Framework for Wheat Disease Identification and Classification Using Jetson GPU Infrastructure

Diseases have adverse effects on crop production and yield loss. Various diseases such as leaf rust, stem rust, and strip rust can affect yield quality and quantity for a studied area. In addition, manual wheat disease identification and interpretation is time-consuming and cumbersome. Currently, de...

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Bibliographic Details
Main Authors: Tagel Aboneh, Abebe Rorissa, Ramasamy Srinivasagan, Ashenafi Gemechu
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Technologies
Subjects:
wheat disease
agriculture
computer vision
deep learning model
Online Access:https://www.mdpi.com/2227-7080/9/3/47

Internet

https://www.mdpi.com/2227-7080/9/3/47

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