Tracking the Connection Between Brazilian Agricultural Diversity and Native Vegetation Change by a Machine Learning Approach-Reference-Cited by-同舟云学术

Tracking the Connection Between Brazilian Agricultural Diversity and Native Vegetation Change by a Machine Learning Approach

Published:2022-11 Issue:11 Volume:20 Page:2371-2380
ISSN:1548-0992
Container-title:IEEE Latin America Transactions
language:
Short-container-title:IEEE Latin Am. Trans.

Author:

Silva Marcos Aurelio Santos da¹^ORCID,Matos Leonardo Nogueira²^ORCID,Santos Flavio Emanuel de Oliveira³^ORCID,Dompieri Marcia Helena Galina¹^ORCID,Moura Fabio Rodrigues de⁴

Affiliation:

1. Brazilian Agricultural Research Corporation (Embrapa)

2. Computer Science Department, Federal University of Sergipe (UFS)

3. Computer Science Department at the Federal University of Sergipe (UFS)

4. Economics Department at the Federal University of Sergipe (UFS)

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/9907/9904733/09904762.pdf?arnumber=9904762

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