TRAINING OF A NEURAL NETWORK FOR IMAGE PROCESSING IN THE FIELD OF AGRICULTURE

This article discusses the main stages of training a neural network model for determining objects in real time based on the YOLOv8 architecture.

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Published
2025-04-14
DOI
https://doi.org/10.58168/cismp2024_199-202
Primary Topic
Fuzzy Logic and Control Systems
Type
article
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article

TRAINING OF A NEURAL NETWORK FOR IMAGE PROCESSING IN THE FIELD OF AGRICULTURE

Dmytro Taran
Fuzzy Logic and Control Systems
article

TRAINING OF A NEURAL NETWORK FOR IMAGE PROCESSING IN THE FIELD OF AGRICULTURE

Dmytro Taran
article en

Abstract

This article discusses the main stages of training a neural network model for determining objects in real time based on the YOLOv8 architecture.

Combat Medical (Spain) (ES)
Openalex Percentile: Top 97%
Fuzzy Logic and Control Systems
DOIOpen Access PDFOpenAlex
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TRAINING OF A NEURAL NETWORK FOR IMAGE PROCESSING IN THE FIELD OF AGRICULTURE — Dmytro Taran · (2025) | TGRS Research Map | TGRS