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Integration of life cycle assessment, artificial neural networks, and metaheuristic optimization algorithms for optimization of tomato-based cropping systems in Iran

Crossref DOI link: https://doi.org/10.1007/s11367-019-01707-6

Published Online: 2019-11-12

Published Print: 2020-03

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

Authors

Pishgar-Komleh, Seyyed Hassan https://orcid.org/0000-0002-8979-1165
Akram, Asadollah

Keyhani, Alireza

Sefeedpari, Paria

Shine, Philip

Brandao, Miguel
Funding

Funding for this research was provided by:

College of Agriculture Natural Resources, University of Tehran (25/6/7109005)
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Text and Data Mining valid from 2019-11-12

Version of Record valid from 2019-11-12
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Article History

Received: 27 December 2018

Accepted: 21 October 2019

First Online: 12 November 2019

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