There is a gap in the research on the metrological characteristics of computerized conductivity meters of industrial greenhouses. To make up for this gap, this paper explores these characteristics of modern computerized conductivity meters for irrigation solution, based on uncertainty theory, instrumental analysis of liquid media, theory of probability and mathematical statistics, etc. The author designed a conductivity meter for irrigation solution based on an analog conductivity sensor for Arduino, and measured output voltage and solution temperature. Based on the measured results, both the basic uncertainties (noise properties of electronic components) and additional uncertainties (solution temperature dynamics) of the computerized tool were evaluated. The results show that the designed conductivity meter has a basic relative uncertainty within ±0.61 %; the relative additional uncertainty could be improved from 10.5 to 3.21 % through piecewise linear approximation of the measured conductivity; the total relative critical uncertainty of conductivity measurement was not more than ±3.82 %. The research findings lay the basis for highquality online monitoring of irrigation solution when growing greenhouse flora.

Nowadays, applied computer-oriented and information digitalization technologies are developing very dynamically and are widely used in various industries. One of the highest priority sectors of the economy of Ukraine and other countries around the world, the needs of which require intensive implementation of high-performance information technologies, is agriculture. The purpose of the article is to synthesise scientific and practical provisions to improve the information technology of the comprehensive monitoring and control of microclimate in industrial greenhouses. The object of research is non-stationary processes of aggregation and transformation of measurement data on soil and climatic conditions of the greenhouse microclimate. The subject of research is methods and models of computer-oriented analysis of measurement data on the soil and climatic state of the greenhouse microclimate. The main scientific and practical effect of the article is the development of the theory of intelligent information technologies for monitoring and control of greenhouse microclimate through the development of methods and models of distributed aggregation and intellectualised transformation of measurement data based on fuzzy logic.

Currently, computer-integrated technologies are increasingly used, which leads to a continuous search for scientifically grounded ways of their development. Agriculture is one of such industries, whose needs require urgent modernization by introducing modern computer, sensor and infocommunication technologies. The purpose of the article is to develop scientific and applied foundations for improving computer-integrated systems for monitoring the state of the microclimate of agricultural greenhouses through the synthesis of an information model of the process of wireless exchange of observation results of physical and chemical parameters. Basic research methods: critical analysis and logical generalization; information and computer modelling; synthesis of structural and algorithmic organizations of computer-integrated technologies; probability theory; the concept of the Internet of Things; experimental testing of computer-integrated and infocommunication equipment. The scientific novelty of the results lies in the development of a method for network aggregation of measurement information, which, unlike the known ones, implements algorithms for detection and software elimination of typical errors in the operation of the system functional modules, which made it possible to reduce the likelihood of uncertainties in the measurement results from 0.6% to 0.01% during network transformation of information. The practical value of the results lies in the development and implementation of a software information model of local and remote aggregation, processing and visualization of the results of observations of the dynamics of the greenhouse microclimate parameters based on the concept of the Internet of Things.

The main purpose of the article is to improve the mathematical model of the process of computerized measuring monitoring and adaptive fuzzy control of temperature modes of growing crops in greenhouse conditions. The results of the research were obtained using methods of physical and mathematical modelling, theory of differential equations of mathematical physics, theory of thermal conductivity, methods of structuralalgorithmic synthesis of complex technical systems. The main purpose of the article was achieved by taking into account types and periods of vegetation of crops and factors of seasonality and engineering design of greenhouses, which allowed substantiating the functional diagram of the system of monitoring and control of temperature in the growing zone. The article establishes regularities of influence of natural sources and technical components of heat energy inputs and losses in greenhouses taking into account current requirements for technological modes of greenhouse operating, which allowed estimating the range of total specific heat energy sufficient for the production. Promising areas for further research of the developed model were proposed in order to increase the integral efficiency of greenhouse farms. The obtained research results can be used as a scientific and applied basis for substantiating ways to optimize energy consumption of industrial greenhouses.