Optimisation of crop configuration using NSGA-III with categorical genetic operators

descriptionPublicationkeyboard_double_arrow_right Article , Conference object , Other literature type 13 Jul 2019Publisher:ACMJournal:Proceedings of the Genetic and Evolutionary Computation Conference Companion

Authors: Oskar Marko; Dejan Pavlovic; Vladimir S. Crnojevic; Kalyanmoy Deb;

doi: 10.1145/3319619.3321912 , 10.5281/zenodo.3351432 , 10.5281/zenodo.3351431

Optimisation of crop configuration using NSGA-III with categorical genetic operators

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Abstract

This work uses evolutionary algorithms to optimise the crop configuration of KRIVAJA DOO, i.e. to choose the appropriate crop for each field.

Related Organizations

University of Novi Sad, BioSense Institute
Serbia
University of Novi Sad
Serbia
Michigan State University
United States

Keywords

Precision Ag, Machine Learning, Crop configuration, Evolutionary algorithms

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