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Registration Number

0224U033440, (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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Сучасний стан та концептуальні засади створення та використання інтелектуальних інформаційних технологій агротехнічного призначення.

Head

Laktionov Ivan S., Доктор технічних наук

Registration Date

27-12-2024

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 scientific and applied problem to be solved by the research is the development of the theory of creation, improvement, and use of software and hardware solutions of intelligent information technologies for agricultural purposes through the substantiation and implementation of methods, computer models, and means of comprehensive aggregation, network exchange, transformation and interpretation of distributed measurement data on the influence of soil and climatic parameters on the efficiency of growing crops in real-time mode with automated decision-support. As a result of the research at this stage, the following scientific and applied results have been obtained: a systematic analysis of the technological foundations of digitalization and intellectualization of the agricultural sector in the global and national planes has been carried out; a computer-oriented model of software and hardware for processing soil and climatic data has been developed; a computer model for processing agroclimatic data based on ANFIS and ML algorithms has been created and validated; it has been found that the use of data smoothing algorithms at the stage of their preprocessing during networked agricultural monitoring based on the Kalman filter improves the accuracy of predicting the probability of corn fusarium occurrence; hardware and software provision for a prototype of the intelligent information technology for monitoring soil and climate parameters has been developed. 

Product Description

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Horiev Viacheslav M.
Diachenko Hryhorii H.
Vita Y. Kashtan
Kremnov Volodymyr V.
Khabarlak Kostiantyn S,
Shamatrin Andrii M.
Shedlovska Yana I.