Unsupervised Image Super-Resolution for Root Hair Enhancement and Improved Root Traits Measurements

Mishra, Divya; Chemweno, Sharon; Hadar, Ofer; Ben-Tovim, Ofer; Lazarovitch, Naftali; Ephrath, Jhonathan E.

doi:10.1109/tafe.2024.3359660

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Unsupervised Image Super-Resolution for Root Hair Enhancement and Improved Root Traits Measurements

Cited by 4 publications

References 46 publications

Real-World Unsupervised Remote Sensing Image Super-Resolution: Addressing Challenges, Solution, and Future Prospects

Real-World Unsupervised Remote Sensing Image Super-Resolution: Addressing Challenges, Solution, and Future Prospects

HyperSR: A Hypernetwork Based Framework for Image Super-Resolution

FarmSR: Super-Resolution in Precision Agriculture Field Production Scenes

Contact Info

Product

Resources

About