Evaluation of the Effectiveness of the UNet Model with Different Backbones in the Semantic Segmentation of Tomato Leaves and Fruits

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Detalles Bibliográficos
Publicado en:	Horticulturae vol. 11, no. 5 (2025), p. 514
Autor principal:	Guerra Ibarra Juan Pablo
Otros Autores:	Cuevas de la Rosa Francisco Javier, Hernandez Vidales Julieta Raquel
Publicado:	MDPI AG
Materias:	Digital imaging Software Tomography Comparative analysis Fruits Optimization techniques Tomatoes Artificial neural networks Separation Hydroponics Task complexity Leaves Greedy algorithms Crops Image processing Crop diseases Semantic segmentation Machine learning Deep learning Transfer learning Plants Agriculture Pixels Artificial intelligence Fourier transforms Image segmentation Computer vision Precision agriculture Neural networks Algorithms Image acquisition Decision making Semantics Economic
Acceso en línea:	Citation/Abstract Full Text + Graphics Full Text - PDF
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