TQVGModel: Tomato Quality Visual Grading and Instance Segmentation Deep Learning Model for Complex Scenarios

To address the challenges of poor instance segmentation accuracy, real-time performance trade-offs, high miss rates, and imprecise edge localization in tomato grading and harvesting robots operating in complex scenarios (e.g., dense growth, occluded fruits, and dynamic viewing conditions), an accura...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Peichao Cong, Kun Wang, Ji Liang, Yutao Xu, Tianheng Li, Bin Xue
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2025-05-01
Schriftenreihe:	Agronomy
Schlagworte:	tomato quality grading instance segmentation Mask R-CNN edge localization TQVGModel
Online-Zugang:	https://www.mdpi.com/2073-4395/15/6/1273
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