Environment simulator for studying automatic crop farming

Timo Oksanen, Mikko Juhani Hakojärvi, T Maksimow , A Aspiala, Mikko Hautala, Arto Visala, Jukka Ahokas

Tutkimustuotos: ArtikkelijulkaisuArtikkeliTieteellinenvertaisarvioitu

Kuvaus

Agricultural machines capable of utilizing variable rate application technology are tackling spatial variability in
agricultural fields. Agricultural field robots are the next step in technology, robots which are capable of utilizing sensor and
actuating technologies without human contact and operate only areas of interest. However, agricultural field robots are still
under research. Robots are just one part of the next generation of crop farming having more advanced tools to do the work
which currently requires humans. The next generation of crop farming, in the vision of the authors, is based on automation,
which incorporates stationary and moving sensors systems, robots, model based decision making, automated operation planning
which adapts to spatial variability according to the measurements as well as to weather conditions. This article presents a
top-down approach of automated crop farming using simulation, trying to cover all the component parts on a fully automated
farm. In the article, the developed simulation platform is presented as well as sample simulation results. The environment
simulator is based on crop growth models, weed growth models, soil models, spatial variation generation and weather statistics.
Models for the environment were found in literature and were tailored and tuned to fit the simulation purposes, to form a
collection of models. The collection of models was evaluated by using sensitivity analysis. Furthermore, a full scale
scenario was simulated over one season, incorporating 9000 spatial cells in five fields of a farm.
Alkuperäiskielienglanti
LehtiE-journal - CIGR
Vuosikerta16
Numero1
Sivut217-227
Sivumäärä11
ISSN1682-1130
TilaJulkaistu - 2014
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä, vertaisarvioitu

Tieteenalat

  • 213 Sähkö-, automaatio- ja tietoliikennetekniikka, elektroniikka
  • 4111 Maataloustiede

Lainaa tätä

Oksanen, T., Hakojärvi, M. J., Maksimow , T., Aspiala, A., Hautala, M., Visala, A., & Ahokas, J. (2014). Environment simulator for studying automatic crop farming. E-journal - CIGR, 16(1), 217-227.
Oksanen, Timo ; Hakojärvi, Mikko Juhani ; Maksimow , T ; Aspiala, A ; Hautala, Mikko ; Visala, Arto ; Ahokas, Jukka. / Environment simulator for studying automatic crop farming. Julkaisussa: E-journal - CIGR. 2014 ; Vuosikerta 16, Nro 1. Sivut 217-227.
@article{11af739250af4f34a8027222bb0e3108,
title = "Environment simulator for studying automatic crop farming",
abstract = "Agricultural machines capable of utilizing variable rate application technology are tackling spatial variability inagricultural fields. Agricultural field robots are the next step in technology, robots which are capable of utilizing sensor andactuating technologies without human contact and operate only areas of interest. However, agricultural field robots are stillunder research. Robots are just one part of the next generation of crop farming having more advanced tools to do the workwhich currently requires humans. The next generation of crop farming, in the vision of the authors, is based on automation,which incorporates stationary and moving sensors systems, robots, model based decision making, automated operation planningwhich adapts to spatial variability according to the measurements as well as to weather conditions. This article presents atop-down approach of automated crop farming using simulation, trying to cover all the component parts on a fully automatedfarm. In the article, the developed simulation platform is presented as well as sample simulation results. The environmentsimulator is based on crop growth models, weed growth models, soil models, spatial variation generation and weather statistics.Models for the environment were found in literature and were tailored and tuned to fit the simulation purposes, to form acollection of models. The collection of models was evaluated by using sensitivity analysis. Furthermore, a full scalescenario was simulated over one season, incorporating 9000 spatial cells in five fields of a farm.",
keywords = "213 Electronic, automation and communications engineering, electronics, 4111 Agronomy",
author = "Timo Oksanen and Hakoj{\"a}rvi, {Mikko Juhani} and T Maksimow and A Aspiala and Mikko Hautala and Arto Visala and Jukka Ahokas",
year = "2014",
language = "English",
volume = "16",
pages = "217--227",
journal = "E-journal - CIGR",
issn = "1682-1130",
publisher = "International Commission of Agricultural and Biosystems Engineering",
number = "1",

}

Oksanen, T, Hakojärvi, MJ, Maksimow , T, Aspiala, A, Hautala, M, Visala, A & Ahokas, J 2014, 'Environment simulator for studying automatic crop farming' E-journal - CIGR, Vuosikerta 16, Nro 1, Sivut 217-227.

Environment simulator for studying automatic crop farming. / Oksanen, Timo; Hakojärvi, Mikko Juhani; Maksimow , T; Aspiala, A; Hautala, Mikko; Visala, Arto; Ahokas, Jukka.

julkaisussa: E-journal - CIGR, Vuosikerta 16, Nro 1, 2014, s. 217-227.

Tutkimustuotos: ArtikkelijulkaisuArtikkeliTieteellinenvertaisarvioitu

TY - JOUR

T1 - Environment simulator for studying automatic crop farming

AU - Oksanen, Timo

AU - Hakojärvi, Mikko Juhani

AU - Maksimow , T

AU - Aspiala, A

AU - Hautala, Mikko

AU - Visala, Arto

AU - Ahokas, Jukka

PY - 2014

Y1 - 2014

N2 - Agricultural machines capable of utilizing variable rate application technology are tackling spatial variability inagricultural fields. Agricultural field robots are the next step in technology, robots which are capable of utilizing sensor andactuating technologies without human contact and operate only areas of interest. However, agricultural field robots are stillunder research. Robots are just one part of the next generation of crop farming having more advanced tools to do the workwhich currently requires humans. The next generation of crop farming, in the vision of the authors, is based on automation,which incorporates stationary and moving sensors systems, robots, model based decision making, automated operation planningwhich adapts to spatial variability according to the measurements as well as to weather conditions. This article presents atop-down approach of automated crop farming using simulation, trying to cover all the component parts on a fully automatedfarm. In the article, the developed simulation platform is presented as well as sample simulation results. The environmentsimulator is based on crop growth models, weed growth models, soil models, spatial variation generation and weather statistics.Models for the environment were found in literature and were tailored and tuned to fit the simulation purposes, to form acollection of models. The collection of models was evaluated by using sensitivity analysis. Furthermore, a full scalescenario was simulated over one season, incorporating 9000 spatial cells in five fields of a farm.

AB - Agricultural machines capable of utilizing variable rate application technology are tackling spatial variability inagricultural fields. Agricultural field robots are the next step in technology, robots which are capable of utilizing sensor andactuating technologies without human contact and operate only areas of interest. However, agricultural field robots are stillunder research. Robots are just one part of the next generation of crop farming having more advanced tools to do the workwhich currently requires humans. The next generation of crop farming, in the vision of the authors, is based on automation,which incorporates stationary and moving sensors systems, robots, model based decision making, automated operation planningwhich adapts to spatial variability according to the measurements as well as to weather conditions. This article presents atop-down approach of automated crop farming using simulation, trying to cover all the component parts on a fully automatedfarm. In the article, the developed simulation platform is presented as well as sample simulation results. The environmentsimulator is based on crop growth models, weed growth models, soil models, spatial variation generation and weather statistics.Models for the environment were found in literature and were tailored and tuned to fit the simulation purposes, to form acollection of models. The collection of models was evaluated by using sensitivity analysis. Furthermore, a full scalescenario was simulated over one season, incorporating 9000 spatial cells in five fields of a farm.

KW - 213 Electronic, automation and communications engineering, electronics

KW - 4111 Agronomy

M3 - Article

VL - 16

SP - 217

EP - 227

JO - E-journal - CIGR

JF - E-journal - CIGR

SN - 1682-1130

IS - 1

ER -

Oksanen T, Hakojärvi MJ, Maksimow T, Aspiala A, Hautala M, Visala A et al. Environment simulator for studying automatic crop farming. E-journal - CIGR. 2014;16(1):217-227.