Computer-Oriented Model for Network Aggregation of Measurement Data in IoT Monitoring of Soil and Climatic Parameters of Agricultural Crop Production Enterprises. - Ivan Laktionov; Grigorii Diachenko; Valerii Koval; Mykhailo Yevstratiev (Balt. J. Mod. Comput., 2023)

Computer-oriented Method of Adaptive Monitoring and Control of Temperature and Humidity Mode of Greenhouse Production. - Ivan Laktionov; Oleksandr Vovna; Maryna Kabanets (Balt. J. Mod. Comput., 2023)

Information Technology for Comprehensive Monitoring and Control of the Microclimate in Industrial Greenhouses Based on Fuzzy Logic. - Ivan Laktionov; Oleksandr Vovna; Maryna Kabanets (J. Artif. Intell. Soft Comput. Res., 2023)

A New Approach to Image-Based Recommender Systems with the Application of Heatmaps Maps. - Piotr Woldan; Piotr Duda; Andrzej Cader; Ivan Laktionov (J. Artif. Intell. Soft Comput. Res., 2023)

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 novel approach to intelligent monitoring of gas composition and light mode of greenhouse crop growing zone on the basis of fuzzy modelling and human-in-the-loop techniques. - Ivan Laktionov; Leszek Rutkowski; Oleksandr Vovna; Aleksander Byrski; Maryna Kabanets (Eng. Appl. Artif. Intell., 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)

An Improved Approach to Prediction of Maize Disease Occurrence Based on Weather Monitoring and Machine Learning: Case of the Forest-Steppe and Northern Steppe of Ukraine. - Grigorii Diachenko; Ivan Laktionov; Artem Vizniuk; Vyacheslav Gorev; Vita Kashtan; Kostiantyn Khabarlak; Yana I. Shedlovska (Balt. J. Mod. Comput., 2024)

Mathematical and Computer Simulation of the Process of Movement of Respirable Dust Particles in the Working Area. - Yevhenii Lashko; Olha Chencheva; Ivan Laktionov; Dmytro Rieznik; Nadia Halchenko (Balt. J. Mod. Comput., 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)

An optimized approach to hourly temperature and humidity setpoint generation for reducing tomato disease and saving power cost in greenhouses. - Hui Wang; Ivan Laktionov; Francisco Rodríguez Díaz; Jorge Antonio Sánchez-Molina; Ming Li (Comput. Electron. Agric., 2024)

Predictive Mathematical and Computer Model for Determining Harmful Effects of Dust Pollution on the Environment and Workers. - Yevhenii Lashko; Serhii Sukach; Ivan Laktionov; Olha Chencheva (Balt. J. Mod. Comput., 2025)

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)