Preliminary results of peach detection in images applying convolutional neuronal network

• Autor(a) principal: Assunção, Eduardo Timóteo
• Data de Publicação: 2019
• Outros Autores: Proença, H., Veiros, André, Mesquita, Ricardo, Gaspar, Pedro Dinis
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.6/10357
• topic: Peach; Image detection; Convolutional neuronal network

The fruit detection part is very important for a good performance in a yield estimation system. This paper presents the preliminary results using the object detection Faster R-CNN method in the peaches images. The aim is evaluate the method performance in the detection of peach RGB images. Images acquired in an orchard were used. Although this method of object detection has been applied in other studies to detect fruits, according to the literature, it has not been used to detect peaches. The results, although preliminary, show a great potential of using the method to detect peach.