Information support system for management decisions in the agricultural sector

Abstract

There is a need in modern agriculture to automate many processes, including automation of taking decision or the providing of current information for taking decisions by responsible person. The aim of the project is to automate the control of the growth of crops or livestock with the help of various devices, such as sensors of various types, analyzing the microclimate of the site according to such characteristics as humidity, air temperature, ground, RFID-tags, GPS-module for analyzing the location of livestock on the farm and intelligent information system that processes the data coming from sensors. The emergence of smart agriculture (Internet of things in agriculture) will facilitate taking decision for owners and responsible persons. Decision making is also facilitated by the quality interface of the information system, which includes the characteristics of data from all types of devices. An additional factor complicating making decision is the ambiguity of the data, which in turn leads to some conflicts. A Petri nets-based model can be used to model and analyse risks. Analysing the model using Petri nets, it can be argued that it is a powerful modelling tool and can be useful in the agricultural sector for selecting the best element from the set, or modelling of data flows.