The information system of decision support in the process of growing biotech objects

Bushma, A.V. and Golub, B.L. and Gudz, A.V. (2018) The information system of decision support in the process of growing biotech objects Математичні машини та системи (4). pp. 26-35. ISSN 1028-9763

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Abstract

The article is devoted to the problem of solving problems associated with the analysis of the state of agricultural plants in the process of their cultivation. Among these problems there were highlighted the problems associated with the timely introduction of nutrients and the identification of plants affected by harmful substances. A system consisting of three subsystems is proposed: primary collection, storage, analysis. The first subsystem includes a chronofluorometer and a device for measuring the number of mycotoxins. Among the wide range of parameters that characterize the condition of agricultural plants, the following are considered: the presence of mycotoxins, the content of chlorophyll in the plant with the measurement of additional chemical fertilizers and biological additives, and etc. Also, as an additional data source, we use the NDVI plant vegetation index calculation based on satellite images. The second subsystem is represented from a technical point of view by a computer. On the informational point of view, relational and data storage. The third subsystem implements data analysis using modern information technologies such as OLAP and Data Mining. The results of the application of these technologies for the analysis of mycotoxins are given. The system architecture is presented, the main functions of which are: managing the measurement of plant growth parameters using various biosensors, transferring the obtained data to a mobile device with further accumulation in the central repository, analyzing and predicting the processes associated with growing crops. Since the system uses data mining methods, it will provide an opportunity to find new knowledge or patterns. Due to this, it is supposed to increase the efficiency of growing crops.

Item Type: Article
Uncontrolled Keywords: growth parameters; mycotoxins; biosensors; chronofluorometer; chlorophyll; fertilizers; Android application; server; data storage; OLAP; Data Mining; KPI
Subjects: Статті у журналах > Фахові (входять до переліку фахових, затверджений МОН)
Divisions: Факультети > Факультет інформаційних технологій та управління > Кафедра комп'ютерних наук і математики
Depositing User: Dr. Sci. Aleksandr / A..V. Bushma
Date Deposited: 02 Jan 2019 09:23
Last Modified: 02 Jan 2019 09:26
URI: https://elibrary.kubg.edu.ua/id/eprint/26077

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