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An Explainable AI Approach to Agrotechnical Monitoring and Crop Diseases Prediction in Dnipro Region of Ukraine Cover

An Explainable AI Approach to Agrotechnical Monitoring and Crop Diseases Prediction in Dnipro Region of Ukraine

Journal of Artificial Intelligence and Soft Computing Research
Volume 13 (2023): Issue 4 (October 2023)
By: Ivan Laktionov,  Grygorii Diachenko,  Danuta Rutkowska and  Marek Kisiel-Dorohinicki  
Open Access
|Oct 2023

Authors

Ivan Laktionov

Laktionov.I.S@nmu.one

Dnipro University of Technology, Ukraine

Grygorii Diachenko

Dnipro University of Technology, Ukraine

Danuta Rutkowska

University of Social Sciences, Łódź, Poland

Marek Kisiel-Dorohinicki

AGH University in Kraków, Krakow, Poland
DOI: https://doi.org/10.2478/jaiscr-2023-0018
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Language: English
Page range: 247 - 272
Submitted on: May 31, 2023
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Accepted on: Sep 11, 2023
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Published on: Oct 30, 2023
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
IoT,
ANFIS,
explainable AI,
agrotechnical monitoring,
disease prediction,
crop.
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2023 Ivan Laktionov, Grygorii Diachenko, Danuta Rutkowska, Marek Kisiel-Dorohinicki, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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