THERMAL SCIENCE

International Scientific Journal

Emina P. Petrović

,

Ana J. Momčilović

,

Dragana Dimitrijević-Jovanović

,

Gordana M. Stefanović

,

Miloš B. Simonović

,

Maša Milošević

,

Vlastimir D. Nikolić

SEMANTIC SEGMENTATION FOR MAPPING AGRICULTURAL WASTE SOURCES: A VINEYARD CASE STUDY FOR ENERGY VALORIZATION VIA BIOGAS PRODUCTION

ABSTRACT
Given the growing trend of increasing waste and diminishing resources, considerable efforts are being directed toward developing innovative methods for utilizing various types of waste as potential energy and material resources. Agriculture generates large quantities of waste, and inadequate management of this waste can cause severe environmental challenges. Transforming agricultural waste into biogas presents an excellent opportunity for its effective use, however, commercializing this process requires a comprehensive understanding of potential agricultural waste sources, primarily the types and quantities of waste generated. Consequently, this paper proposes a deep learning-based image segmentation approach for identifying potential agricultural waste sources using remote sensing images. The research examines the effectiveness of the DeepLabV3+ with various backbone networks for semantic segmentation with an emphasis on detecting vineyards as potential contributors to agricultural waste for biogas generation.
KEYWORDS
agricultural residues, satellite imaging, vineyard mapping, semantic segmentation
PAPER SUBMITTED: 2024-12-17
PAPER REVISED: 2025-01-31
PAPER ACCEPTED: 2025-02-05
PUBLISHED ONLINE: 2025-04-05
DOI REFERENCE: https://doi.org/10.2298/TSCI241217045P
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2025, VOLUME 29, ISSUE Issue 5, PAGES [3319 - 3329]
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Semantic segmentation for mapping agricultural waste sources: A vineyard case study for energy valorization via biogas production

2025 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence