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Habitat Suitability Modelling for the Red Dwarf Honeybee (Apis florea (Linnaeus)) and Its Distribution Prediction Using Machine Learning and Cloud Computing

Crossref DOI link: https://doi.org/10.1007/s13744-024-01220-y

Published Online: 2024-12-17

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ma’moun, Shireen

Farag, Rasha

Abutaleb, Khaled

Metwally, Amr

Ali, Abdelraouf

Yones, Mona https://orcid.org/0000-0002-5278-4877
Funding

Funding for this research was provided by:

National Authority for Remote Sensing and Space Sciences
License Information

Text and Data Mining valid from 2024-12-17

Version of Record valid from 2024-12-17
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Article History

Received: 29 December 2023

Accepted: 9 October 2024

First Online: 17 December 2024

Declarations

:

: This research was approved by the Research Ethics Committee of Faculty of Science, Ain Shams University, Cairo, Egypt (approval code: ASU-SCI/ENTO/2023/8/3).

: Not applicable.

: Not applicable.

: The authors declare no competing interests.

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