Ivan Laktionov

Orcid: 0000-0001-7857-6382

According to our database1, Ivan Laktionov authored at least 16 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
A Comprehensive Survey of Retrieval-Augmented Large Language Models for Decision Making in Agriculture: Unsolved Problems and Research Opportunities.
J. Artif. Intell. Soft Comput. Res., 2025

A Decision Support System for Wheat Powdery Mildew Risk Prediction Using Weather Monitoring, Machine Learning and Explainable Artificial Intelligence.
Comput. Electron. Agric., 2025

Predictive Mathematical and Computer Model for Determining Harmful Effects of Dust Pollution on the Environment and Workers.
Balt. J. Mod. Comput., 2025

2024
An optimized approach to hourly temperature and humidity setpoint generation for reducing tomato disease and saving power cost in greenhouses.
Comput. Electron. Agric., 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.
Comput. Electron. Agric., 2024

Mathematical and Computer Simulation of the Process of Movement of Respirable Dust Particles in the Working Area.
Balt. J. Mod. Comput., 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.
Balt. J. Mod. Comput., 2024

Feature knowledge distillation using group convolutions for efficient plant pest recognition.
Proceedings of the 12th International Conference Information Control Systems & Technologies (ICST 2024), 2024

Researching ML Algorithms for Predicting FHB in Corn: A Case Study in Dnipro Region of Ukraine.
Proceedings of the Artificial Intelligence and Soft Computing, 2024

A computerized method for predicting the risk of powdery mildew in wheat based on software analysis of soil and climatic monitoring data.
Proceedings of the 1st International Workshop on Advanced Applied Information Technologies with CEUR-WS, 2024

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.
Eng. Appl. Artif. Intell., November, 2023

An Explainable AI Approach to Agrotechnical Monitoring and Crop Diseases Prediction in Dnipro Region of Ukraine.
J. Artif. Intell. Soft Comput. Res., October, 2023

A New Approach to Image-Based Recommender Systems with the Application of Heatmaps Maps.
J. Artif. Intell. Soft Comput. Res., March, 2023

Information Technology for Comprehensive Monitoring and Control of the Microclimate in Industrial Greenhouses Based on Fuzzy Logic.
J. Artif. Intell. Soft Comput. Res., 2023

Computer-oriented Method of Adaptive Monitoring and Control of Temperature and Humidity Mode of Greenhouse Production.
Balt. J. Mod. Comput., 2023

Computer-Oriented Model for Network Aggregation of Measurement Data in IoT Monitoring of Soil and Climatic Parameters of Agricultural Crop Production Enterprises.
Balt. J. Mod. Comput., 2023


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