Mathematical Model and Method for Diagnosing the Operability of Information and Control Systems. - Olena Syrotkina; Ziad Kobti; Mykhailo Aleksieiev; Borys Moroz; Iryna Udovyk; Grygorii Diachenko (ACIT, 2022)

An Explainable AI Approach to Agrotechnical Monitoring and Crop Diseases Prediction in Dnipro Region of Ukraine. - Ivan Laktionov; Grygorii Diachenko; Danuta Rutkowska; Marek Kisiel-Dorohinicki (J. Artif. Intell. Soft Comput. Res., 2023)

A computerized method for predicting the risk of powdery mildew in wheat based on software analysis of soil and climatic monitoring data. - Grygorii Diachenko; Ivan Laktionov; Dmytro Moroz; Maryna Derzhevetska; Sergii Semenov (AdvAIT, 2024)

Researching ML Algorithms for Predicting FHB in Corn: A Case Study in Dnipro Region of Ukraine. - Ivan Laktionov; Artem Vizniuk; Grygorii Diachenko (ICAISC (1), 2024)

Feature knowledge distillation using group convolutions for efficient plant pest recognition. - Kostiantyn Khabarlak; Ivan Laktionov; Grygorii Diachenko (ICST, 2024)

A comprehensive review of recent approaches and Hardware-Software technologies for digitalisation and intellectualisation of Open-Field crop Production: Ukrainian case study in the global context. - Ivan Laktionov; Grygorii Diachenko; Vita Kashtan; Artem Vizniuk; Vyacheslav Gorev; Kostiantyn Khabarlak; Yana I. Shedlovska (Comput. Electron. Agric., 2024)

A Decision Support System for Wheat Powdery Mildew Risk Prediction Using Weather Monitoring, Machine Learning and Explainable Artificial Intelligence. - Grygorii Diachenko; Ivan Laktionov; Oleksandr Vinyukov; Hanna Likhushyna (Comput. Electron. Agric., 2025)

A Comprehensive Survey of Retrieval-Augmented Large Language Models for Decision Making in Agriculture: Unsolved Problems and Research Opportunities. - Artem Vizniuk; Grygorii Diachenko; Ivan Laktionov; Agnieszka Siwocha; Min Xiao 001; Jacek Smolag (J. Artif. Intell. Soft Comput. Res., 2025)