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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

Agriculture

ISSN

2077-0472

e-ISSN

—

Svazek periodika

10

Číslo periodika v rámci svazku

10

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

20

Strana od-do

434

Kód UT WoS článku

000584070900001

EID výsledku v databázi Scopus

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