Image-to-Image Translation-Based Data Augmentation for Improving Crop/Weed Classification Models for Precision Agriculture Applications

Image-to-Image Translation-Based Data Augmentation for Improving Crop/Weed Classification Models for Precision Agriculture Applications

Applications of deep-learning models in machine visions for crop/weed identification have remarkably upgraded the authenticity of precise weed management. However, compelling data are required to obtain the desired result from this highly data-driven operation. This study aims to curtail the effort...

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Bibliographic Details
Main Authors: L. G. Divyanth, D. S. Guru, Peeyush Soni, Rajendra Machavaram, Mohammad Nadimi, Jitendra Paliwal
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Algorithms
Subjects:
generative adversarial networks
deep-learning
crop/weed classification
transfer learning
feature extraction
Online Access:https://www.mdpi.com/1999-4893/15/11/401

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https://www.mdpi.com/1999-4893/15/11/401

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