Advanced Computational Methods for Agriculture Machinery Movement Optimization with Applications in Sugarcane Production

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12220%2F20%3A43901226" target="_blank" >RIV/60076658:12220/20:43901226 - isvavai.cz</a>

Result on the web

<a href="https://www.mdpi.com/2077-0472/10/10/434/htm" target="_blank" >https://www.mdpi.com/2077-0472/10/10/434/htm</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/agriculture10100434" target="_blank" >10.3390/agriculture10100434</a>

Result language

angličtina

Original language name

Advanced Computational Methods for Agriculture Machinery Movement Optimization with Applications in Sugarcane Production

Original language description

This paper considers the evolution of processes applied in agriculture for field operations developed from non-organized handmade activities into very specialized and organized production processes. A set of new approaches based on the application of metaheuristic optimization methods and smart automatization known as Agriculture 4.0 has enabled a rapid increase in in-field operations’ productivity and offered unprecedented economic benefits. The aim of this paper is to review modern approaches to agriculture machinery movement optimization with applications in sugarcane production. Approaches based on algorithms for the division of spatial configuration, route planning or path planning, as well as approaches using cost parameters, e.g., energy, fuel and time consumption, are presented. The combination of algorithmic and economic methodologies including evaluation of the savings and investments and their cost/benefit relation is discussed.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Agriculture

ISSN

2077-0472

e-ISSN

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Volume of the periodical

10

Issue of the periodical within the volume

10

Country of publishing house

CH - SWITZERLAND

Number of pages

20

Pages from-to

434

UT code for WoS article

000584070900001

EID of the result in the Scopus database

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