Analysis of Formal Concepts for Verification of Pests and Diseases of Crops Using Machine Learning Methods

Analysis of Formal Concepts for Verification of Pests and Diseases of Crops Using Machine Learning Methods

This article is devoted to a set of important areas of research: the analysis of formal representations and verification of pests and pathogens affecting crops using spectral brightness coefficients (SBR) for the period from 2021 to 2023. The database contains about 10,000 records covering the growi...

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Bibliographic Details
Main Authors: Jamalbek Tussupov, Moldir Yessenova, Gulzira Abdikerimova, Aidyn Aimbetov, Kazbek Baktybekov, Gulden Murzabekova, Ulzada Aitimova
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Accuracy metrics
classification
clustering
data verification
machine learning
spectral brightness coefficient
Online Access:https://ieeexplore.ieee.org/document/10418240/

Internet

https://ieeexplore.ieee.org/document/10418240/

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