Testing of the Wireless Sensor Network for the Express-Diagnostic of the State of Plant

The authors made a review of "Information technology of express-estimation of plant state in large territories in stressful environment." The essence of digital agriculture and its main components are briefly described. The main part of the article describes the cluster of Wireless Sensor Network. The main components of the cluster and the principle of the cluster are given. The work of the cluster is based on the "Information technology of express-estimation of plant state in large territories in stressful environment." This technology is based on the method of chlorophyll fluorescence induction. The introduction of new information technology into industrial digital agriculture will make it possible to determine in real time the condition of plants suffering from the influence of one or another stress factor and develop an appropriate managerial decision to compensate the influence of a certain factor. The main technical requirements for the wireless node of the cluster are the ability to work in the field conditions; easy location on the plant; low cost; lightweight up to 25 g, small size, etc. The WSN cluster is intended for use in the agricultural sector and for environmental monitoring. Using the data collected by the cluster and an express analysis of the state of plants is carried out, which allows making the necessary managerial decision on the use of fertilizers, fungicides, pesticides, herbicides and the need for irrigation. The authors took into account that the cultivation of corn for grain occupies a large sector in the agrarian sector of Ukraine and is an urgent task. The authors analyzed the industrial technology of growing of crop for grain and it was adapted for the information technology for measuring the CFI. The main points of the technological process for the use of the WSN cluster in industrial agriculture on the example of corn are determined, and on their basis, a scheme for measuring the CFI of plants by the WSN cluster was developed. A brief step-by-step methodology has been developed for using the WSN cluster in measuring the CFI of corn. The authors also presented an analysis of energy consumption in the WSN and proposed the ways to improve the energy efficiency of the WSN nodes. Keywords: sensors, wireless sensor network, express diagnostics of plant, smart agriculture.

Application the Wireless Sensory Network Cluster in Digital Agriculture

Antonova

Kedych

2022

Wireless Networks of Smart Multisensors and Biosensor Devices for Express Diagnostics of the State of Grape and Fruit-Berry Crops and Quality Control of Winemaking Products

Romanov,

Galelyuka,

Voronenko

et al. 2023

The application of information and wireless technologies, multisensor and biosensor devices, as well as sensor networks based on them to control the parameters of technological processes in different industries makes it possible to greatly improve the quality of final products and reduce losses of raw materials at all stages of production and storage. This covers both the industrial production of consumer goods and the food and processing industry. The article describes the developing and testing of network of wireless smart biosensor devices for food industry, namely for controlling the quality of wine, wine materials and food products in the production process. It is considered the technological process of production of wine materials and wine, as well as parameters that are subject of controlling. The requirements for smart multisensor devices, which are reasonable to use in such technological productions, are formulated. Measuring nodes are built on the basis of amperometric sensors and wireless data transmission units. Structural, functional and principle schemas of measuring devices were developed. The design documentation was created for their production at contract factories. The integration of wireless data transmission units into measuring nodes made it possible to build wireless sensor networks based on them. Several structures of wireless networks were developed on the base of wireless nodes with different functionality and with using of different wireless data transmission protocols. Hardware and software for wireless network nodes were developed. It was fulfilled the testing of the multisensor measuring node in autonomous mode, as well as the whole network consisting of several wireless nodes. The test results showed both the weaknesses of the developed devices, which should be eliminated in further researches, and the reasonability of using smart multisensor devices and networks based on them to control the quality of wine materials and wine at different stages of their production and storage. The work was performed with the support and within the Complex program of scientific research of the National Academy of Sciences of Ukraine "Smart" sensor devices of the new generation based on modern materials and technologies." Keywords: biosensors, amperometric transducers, smart multisensors, wireless sensor network, wine and food quality control.

Smart-Systems for Precision Agriculture, Environmental Protection and Healthcare

Romanov,

Galelyuka,

Hrusha

et al. 2023

Appearance of innovative tools of informatics in the world is determined by development of information-communication technology, microelectronics, sensor and biosensor technologies. Spreading of these technologies on precision agriculture, environmental protection and health care gives opportunity to create smart fields, gardens, greenhouses, forests and parks, and also smart health monitors, which estimate the health state of person as in rehabilitation, so in emergency situations. Results of research of authors in the development of new information technologies and creation of main components of the smart systems for different purposes on this base are shows in this paper. Main requirements for knowledge bank for precision agriculture and ecological monitoring are defined. Main principles of creating knowledge bank on base of requirements are proposed. The typical smart system models and their development stages are considered. Structure of wireless multilevel networks for the estimation of state of biological objects of different origin and their nodes are described. Developed sensor networks and smart systems for agriculture are considered. Structure of proposed smart system for agriculture and ecological monitoring is given. Approaches for chlorophyll fluorescence induction curves analysis are studied. Results of network testing for the estimation of the autonomous work time of network nodes and possible errors are given. Wireless sensor network and smart system for remote medical monitoring are described. Diagnostic smart systems for estimation of quality of life are considered. Medical communicator, computer device on base of tablet computer, was used for their development. The short form of Survey Instrument (SF-36) for life quality estimation and abnormal uterine bleeding questionnaire, which was developed in State Scientific Institution "Center for Innovative Medical Technologies of the National Academy of Sciences of Ukraine", were embedded in communicator. STEPS questionnaire which was designed for epidemiological monitoring of the prevalence of noncommunicable diseases and their risk factors in the target subpopulations could be added to communicator. Development of smart systems for estimation of quality of life and prevalence of noncommunicable diseases was made in cooperation with R.E. Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology NAS of Ukraine (department of research management and innovation), Chebotarev Institute of Gerontology of the National Academy of Medical Sciences of Ukraine, Center for Innovative Medical Technologies of the National Academy of Sciences of the Ukraine. Keywords: wireless sensor network, precision agriculture, chlorophyll fluorescence induction, express-diagnostics of plant state, quality of life, SF-36.