Registration Number
0225U004822,
(0124U000289)
, R & D reports
Title
Development of software and hardware of intelligent technologies for sustainable cultivation of agricultural crops in war and post-war times.
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Теоретико-прикладні засади створення та використання прикладних інформаційних технологій агротехнічного моніторингу.
Head
Laktionov Ivan S., Доктор технічних наук
Registration Date
19-12-2025
Organization
Dnipro University of Technology
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The main aim of the project is to develop software and hardware for intelligent information technologies for online monitoring of the soil and climatic condition of agricultural production with decision-making support that can be used to substantiate scientific and applied provisions for the rational use of areas and resources, as well as sustainable cultivation of agricultural crops in war and post-war times.
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The research focuses on developing information-oriented approaches to creating and utilising software and hardware solutions for agromonitoring. Methods, models and components for the comprehensive collection, processing, transformation and interpretation of spatial and temporal data characterising the soil and climatic conditions for growing crops in real time have been substantiated and implemented. The main results include: the conceptual and technological foundations for the creation and use of intelligent agromonitoring systems combining sensor networks, portable devices, satellite data and machine learning algorithms have been substantiated; a decentralised architecture of the complex and predictive analytics models for early detection of diseases and pests have been proposed and verified; geospatial models based on deep processing of satellite images have been developed; digital filtering methods have been improved to increase monitoring accuracy; a prototype of an intelligent system with generative AI modules has been implemented, the effectiveness of which has been confirmed by experiments. The practical value lies in the digital transformation of the agricultural sector, which can be achieved without significant modernisation of the existing hardware infrastructure. Prospects for further research in the direction of implementing explanatory and generative artificial intelligence algorithms, as well as improving the interoperability of agromonitoring components, have been outlined. All this increases the efficiency of crop cultivation, the rational use of land and resources, and contributes to food security and Ukraine's export potential.
Product Description
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Viacheslav M. Horiev
Vita Y. Kashtan
Shedlovska Yana I.
Kostiantyn S. Khabarlak
Oleksandr S. Zhabko
Volodymyr V. Kremnov
Artem V. Vizniuk
Andrii M. Shamatrinch
Hryhorii H. Diachenko
Kateryna O. Shyshatska
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2025-12-19
