Crossmark

Application of machine learning techniques to simulate the evaporative fraction and its relationship with environmental variables in corn crops

Published Online: 2022-09-05

Authors

Zenone, Terenzio http://orcid.org/0000-0002-1621-1633
Vitale, Luca

Famulari, Daniela

Magliulo, Vincenzo
Funding

Funding for this research was provided by:

ICOS
License Information

Text and Data Mining valid from 2022-09-05

Version of Record valid from 2022-09-05
More Information

Article History

Received: 3 May 2022

Accepted: 23 August 2022

First Online: 5 September 2022

Declarations

:

: The manuscript does not involve human participants, human data or human tissue.

: The manuscript does not contain any individual person’s data.

: There are no financial and non-financial competing interests.

Document is current