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Application of artificial neural networks and genetic algorithm to predict and optimize greenhouse b...

Application of artificial neural networks and genetic algorithm to predict and optimize greenhouse b...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2628594460

Application of artificial neural networks and genetic algorithm to predict and optimize greenhouse banana fruit yield through nitrogen, potassium and magnesium

About this item

Full title

Application of artificial neural networks and genetic algorithm to predict and optimize greenhouse banana fruit yield through nitrogen, potassium and magnesium

Publisher

United States: Public Library of Science

Journal title

PloS one, 2022-02, Vol.17 (2), p.e0264040

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

The excess of the chemical fertilizers not only causes the environmental pollution but also has many deteriorating effects including global warming and alteration of soil microbial diversity. In conventional researches, chemical fertilizers and their concentrations are selected based on the knowledge of experts involved in the projects, which this...

Alternative Titles

Full title

Application of artificial neural networks and genetic algorithm to predict and optimize greenhouse banana fruit yield through nitrogen, potassium and magnesium

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2628594460

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2628594460

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0264040

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