EventsThe 5th International Electronic Conference on Remote Sensing
Published
This submission belongs to the session S3. Remote sensing applications of the event The 5th International Electronic Conference on Remote Sensing
Published date
06 Nov, 2023
Academic Editor
author-avatarRiccardo Buccolieri
Citation
EMINE SENKARDESLER, Integration of Object-Oriented Remote Sensing and Machine Learning to Create Field Model for Optimized Regional Agricultural Management, in Proceedings of The 5th International Electronic Conference on Remote Sensing, 7 November–21 November 2023, MDPI: Basel, Switzerland, doi: 10.3390/ECRS2023-15834
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Integration of Object-Oriented Remote Sensing and Machine Learning to Create Field Model for Optimized Regional Agricultural Management

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1. Middle East Technical University Department of Geodetic and Geographic Information Technologies
Abstract
Keywords
remote sensing
precision agriculture
machine learning
image processing
vegetation index
regional agricultural management
Manuscript
Oral Presentation