Home ›
Entities
› academia
› A Comparative Approach of Fuzzy Object Based Image Analysis and Machine Learning Techniques Which Are Applied to Crop Residue Cover Mapping by Using Sentinel-2 Satellite and UAV Imagery
A Comparative Approach of Fuzzy Object Based Image Analysis and Machine Learning Techniques Which Are Applied to Crop Residue Cover Mapping by Using Sentinel-2 Satellite and UAV Imagery
Research article (Remote Sensing, 2021) · cited 35× · AI/ML
A Comparative Approach of Fuzzy Object Based Image Analysis and Machine Learning Techniques Which Are Applied to Crop Residue Cover Mapping by Using Sentinel-2 Satellite and UAV Imagery
Summary
A Comparative Approach of Fuzzy Object Based Image Analysis and Machine Learning Techniques Which Are Applied to Crop Residue Cover Mapping by Using Sentinel-2 Satellite and UAV Imagery is a scholarly article[1].
Key Facts
A Comparative Approach of Fuzzy Object Based Image Analysis and Machine Learning Techniques Which Are Applied to Crop Residue Cover Mapping by Using Sentinel-2 Satellite and UAV Imagery's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A Comparative Approach of Fuzzy Object Based Image Analysis and Machine Learning Techniques Which Are Applied to Crop Residue Cover Mapping by Using Sentinel-2 Satellite and UAV Imagery. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-comparative-approach-of-fuzzy-object-based-image-analysis-and-machine-learning-techniques-which-are-applied-to-crop-re
MLA“A Comparative Approach of Fuzzy Object Based Image Analysis and Machine Learning Techniques Which Are Applied to Crop Residue Cover Mapping by Using Sentinel-2 Satellite and UAV Imagery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-comparative-approach-of-fuzzy-object-based-image-analysis-and-machine-learning-techniques-which-are-applied-to-crop-re.
BibTeX@misc{4ortxyz_a-comparative-approach-of-fuzzy-object-based-image-analysis-and-machine-learning-techniques-which-are-applied-to-crop-re_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Comparative Approach of Fuzzy Object Based Image Analysis and Machine Learning Techniques Which Are Applied to Crop Residue Cover Mapping by Using Sentinel-2 Satellite and UAV Imagery}}, year = {2026}, url = {https://4ort.xyz/entity/a-comparative-approach-of-fuzzy-object-based-image-analysis-and-machine-learning-techniques-which-are-applied-to-crop-re}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Comparative Approach of Fuzzy Object Based Image Analysis and Machine Learning Techniques Which Are Applied to Crop Residue Cover Mapping by Using Sentinel-2 Satellite and UAV Imagery — https://4ort.xyz/entity/a-comparative-approach-of-fuzzy-object-based-image-analysis-and-machine-learning-techniques-which-are-applied-to-crop-re (retrieved 2026-05-24)
