Super Resolution for Root Imaging

• Published in: arXiv.org
• Main Authors: Ruiz-Munoz, Jose F, Nimmagadda, Jyothier K, Dowd, Tyler G, Baciak, James E, Zare, Alina
• Format: Paper
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 05.05.2020
• Subjects: Artificial neural networks; Backscattering; High resolution; Image acquisition; Image quality; Image resolution; Machine learning; Neural networks; Performance evaluation; Plant roots; Signal to noise ratio; Training

High-resolution cameras have become very helpful for plant phenotyping by providing a mechanism for tasks such as target versus background discrimination, and the measurement and analysis of fine-above-ground plant attributes. However, the acquisition of high-resolution (HR) imagery of plant roots i...