UDC 621.396, 681.2
1 V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine
 vromanov@i.ua
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2 V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine
galelyuka@gmail.com
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3 V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine
vhrusha@gmail.com
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6 V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine
antanna78@gmail.com
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7 V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine
annet.kedich@ukr.net
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WIRELESS SENSOR NETWORKS FOR DIGITAL AGRICULTURE,
ENVIRONMENTAL PROTECTION, AND HEALTHCARE
Abstract. The article presents the results of the development and creation of wireless sensor networks for agriculture and medicine, obtained by the team of authors during the past five years. Wireless sensor networks for estimating the state of plants by the method of chlorophyll fluorescence induction on large areas of agricultural lands are considered. These networks include original smart sensors, built according to flexible architecture and which contain elements of artificial intelligence based on neural networks, which increases their effectiveness in determining the effect of stress factors of different origins. On the basis of the wireless sensor network, a smart remote medical monitoring system has been built, which uses several wireless data exchange protocols. To assess the quality of life and the spectrum of symptoms, associated with the diseases and/or treatment, a diagnostic system was created, which determines the patient’s state using international and national questionnaires. The basis of the operation of proposed smart measuring devices and systems is the knowledge-based principles of processing and analyzing the measuring data for making managerial decisions and giving recommendations to users. Most of the obtained results have been brought to serial production.
Keywords: wireless sensor network, data acquisition system, information and communication technology, digital agriculture, assessment of life quality.
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