Tag Archives: decision making

799-813 D. Kotovs and A. Zacepins
Importance of GIS solutions for beekeepers: a review
Abstract |

Importance of GIS solutions for beekeepers: a review

D. Kotovs* and A. Zacepins

Latvia University of Life Sciences and Technologies, Faculty of Information Technologies, Department of Computer Systems, Liela iela 2, LV-3001 Jelgava, Latvia
*Correspondence: daniels.kotovs@lbtu.lv

Abstract:

In today’s realities, beekeeping encounters a number of different challenges, including the lack of suitable areas, urbanisation, intensive farming methods etc. In order to meet the current needs, modern beekeeping uses various information technology solutions that support beekeepers in their activities. Among such solutions, the use of geographic information systems and spatial data is relevant. At the time of writing this work, its authors are developing software solution for beekeepers based on Geographic Information System (GIS) and an interactive map within the scientific project named Hiveopolis. To further develop this solution, it is necessary to investigate the current situation related to issues in modern beekeeping and the solutions already available. In this study, a detailed review of solutions was carried out, which, according to the authors, are the most similar in subject matter to their developed solution. During the review, the authors studied the actual problems of beekeeping solved with the help of the considered solutions, and also provided possible ways to improve existing solutions, presenting their developed system. As a result, the study confirmed the relevance of this direction, and also made it possible

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797-806 M. Hakojärvi, M. Hautala, J. Ahokas, T. Oksanen, T. Maksimow, A. Aspiala, A. Visala
Platform for simulation of automated crop production
Abstract |

Platform for simulation of automated crop production

M. Hakojärvi¹, M. Hautala¹, J. Ahokas¹, T. Oksanen², T. Maksimow², A. Aspiala², A. Visala²

¹University of Helsinki, Department of Agricultural Sciences
²Helsinki University of Technology, Department of Automation and Systems Technology

Abstract:

During  the  last  few  decades  technology  used  in  crop  production  has  developed noticeably.  The  work  of  farmers  has  decreased  and  continues  decreasing  by  means  of technology and automation. The aim of this research project was to find out requirements for methods and automated machines needed in automated crop production. Agricultural  machines  capable  of  utilizing  variable  rate  application  (VRA)  technology enable  considering  spatial  variability  in  agricultural  fields  during  different  field  operations. Agricultural  field  robots  are  the  next  step  in  technology,  capable  of  utilizing  sensor  and actuating  technologies,  without  human  driven  tractors.  However,  agricultural  field  robots  are stil  under research, and commercial products do not exist. The next generation of crop farming, in the vision of authors, is based on automatic crop farming, which incorporates stationary and moving sensors systems, robots, model based decision making, automated operation planning which are adapting to spatial variability according to the measurements as wel  as to weather conditions. This article presents a top-down approach of automated crop farming  using simulation, trying  to  cover  the  most  important  pieces  on  a  ful y  automatic  farm  and  the  environment  is model ed. The developed simulation environment is presented as wel  as preliminary simulation results.  The  environment  simulator  is  based  on  a  col ection  of  models,  including  models  for crop  and  weed  growth,  soil  water  flow  and  generators  for  spatial  variation  and  statistical y varying weather.

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