DOAJ Open Access 2024

Computer vision methods and algorithms for automatic detection and classification of objects in decision support systems in agriculture

Yablokova Alena Kovalev Igor Kovalev Dmitry Podoplelova Valeria Kobilova Aziza

Lihat Sumber DOI

Abstrak

The paper examines aspects of developing and formalizing the task of applying computer vision methods and algorithms using OpenCV (implemented in Python version 3.13 notation) for automatic detection and classification of objects in decision support systems. A software implementation of a modular example is provided, enabling automatic detection and classification for the detection of plant diseases based on their external characteristics in decision support systems in agriculture. This approach will facilitate prompt response to plant diseases and the implementation of necessary measures for their treatment.

Topik & Kata Kunci

Environmental sciences

Penulis (5)

Yablokova Alena

Kovalev Igor

Kovalev Dmitry

Podoplelova Valeria

Kobilova Aziza

Format Sitasi

APA MLA BibTeX

Alena, Y., Igor, K., Dmitry, K., Valeria, P., Aziza, K. (2024). Computer vision methods and algorithms for automatic detection and classification of objects in decision support systems in agriculture. https://doi.org/10.1051/e3sconf/202454803023

Akses Cepat

Lihat di Sumber doi.org/10.1051/e3sconf/202454803023

Informasi Jurnal

Tahun Terbit: 2024
Sumber Database: DOAJ
DOI: 10.1051/e3sconf/202454803023
Akses: Open Access ✓