Advanced computational methods for agriculture machinery movement optimization with applications in sugarcane production

• Main Author: Filip, Martin
• Publication Date: 2020
• Other Authors: Zoubek, Tomas, Bumbalek, Roman, Cerny, Pavel, Batista, Carlos E. [UNESP], Olsan, Pavel, Bartos, Petr, Kriz, Pavel, Xiao, Maohua, Dolan, Antonin, Findura, Pavol
• Format: Other
• Language: eng
• Source: Repositório Institucional da UNESP
• Download full: http://dx.doi.org/10.3390/agriculture10100434; http://hdl.handle.net/11449/205227
• topic: Agricultural machinery; Metaheuristic algorithm; Optimization; Precision agriculture; Route planning

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.