Agriculture is the most important economic sector. Providing countries with food security depends on the state and development of such an agricultural sub-sector as crop farming. Nowadays, scientists and practitioners are searching for various ways to improve efficiency of plant cultivation. Within the development of information technologies, it is crucial to use the latest approaches to achieve this goal. Artificial intelligence technologies play a significant role in modern agricultural technologies and solving key issues of agriculture. Machine learning is currently very popular. As part of the innovative project, the authors considered the system for predicting and monitoring plant health. The system can offer real time data on conditions of plants on the basis of weather conditions (temperature, humidity and sunlight), and also predict potential risks such as droughts or pest outbreaks, taking into account climate changes. One of the necessary conditions for the implementation of such projects is the provision of qualified personnel. Staff training for digital economy, including the agricultural sector, should meet modern market demands and the level of information technologies development.