Digital agriculture has rapidly developed in the last decade in many countries where the share of agricultural production is a significant part of the total volume of gross production. Digital agroecosystems are developed using a variety of IT solutions, software and hardware tools, wired and wireless data transmission technologies, open source code, Open API, etc. A special place in agroecosystems is occupied by electronic payment technologies and blockchain technologies, which allow farmers and other agricultural enterprises to conduct commodity and monetary transactions with suppliers, creditors, and buyers of products. Such ecosystems contribute to the sustainable development of agriculture, agricultural engineering, and management of production and financial operations in the agricultural industry and related industries, as well as in other sectors of the economy of a number of countries. The introduction of crypto solutions in the agricultural sector is designed to create integrated platforms aimed at helping farmers manage supply lines or gain access to financial services. At the same time, there are risks of illegal use of computing power for cryptocurrency mining—cryptojacking. This article offers a thorough risk assessment of cryptojacking attacks on endpoint systems, focusing on identifying critical vulnerabilities within IT infrastructures and outlining practical preventive measures. The analysis examines key attack vectors—including compromised websites, infected applications, and supply chain infiltration—and explores how unauthorized cryptocurrency mining degrades system performance and endangers data security. The research methodology combines an evaluation of current cybersecurity trends, a review of specialized literature, and a controlled experiment simulating cryptojacking attacks. The findings highlight the importance of multi-layered protection mechanisms and ongoing system monitoring to detect malicious activities at an early stage.

Due to the growing demand for agricultural products, there is a need to intensify the process of growing plants and reduce their diseases. Therefore, the technical implementation of methods for controlling the functional activity of plants using electromagnetic radiation at different stages of organogenesis and their automation is an urgent task. The research aims to increase the efficiency of plant cultivation by studying electrophysical methods of controlling their productivity and implementing a computer-integrated system. To achieve this goal, a mathematical corrective model of the interaction of laser radiation with solid biological tissue, algorithms for measuring and generating control effects, methods of automatic control theory, and visual programming in LabView were used. The data were processed in MS Excel. The connections in the biotechnical plant-environment system were analysed, material flows and information channels were identified, a set of state parameters, and direct and cross relationships between them were singled out, and sources of disturbances were argued. The basic principles of the interaction of laser radiation with biological tissue are determined and the biophysical mechanism is substantiated. A set of software and hardware control and management tools for conducting experimental studies of electrophysical effects on plant biological objects has been developed. To obtain feedback from plants, new tools for diagnosing the physiological state of plant organisms were developed and a computer-integrated system for controlling the process of plant irradiation was created. The control system is based on the Arduino microcontroller software and is connected to a PC. An operator panel was created to provide automated process control and a subsystem for recording measured data. In practice, the results of this study can be applied in greenhouses in Ukraine and other countries, including in the cultivation of vegetable crops