RT Journal Article
T1 vitisBerry: An Android-smartphone application to early evaluate the number of grapevine berries by means of image analysis
A1 Aquino Martín, Arturo
A1 Barrio Fernández, Ignacio
A1 Diago, María-Paz
A1 Millán Prior, Borja
A1 Tardáguila, Javier
AB In agriculture, crop monitoring and plant phenotyping are mainly manually measured. However, this practice gathers phenotyping information at a lower rate than genotyping evolves, thus producing bottleneck. This paper presents vitisBerry, a smartphone application for assessing in the vineyard, using computer vision, the berry number in clusters at phenological stages between berry-set and cluster-closure. The implemented image analysis algorithm is an evolution of a previous development, providing 1.63% and 7.57% of Recall and Precision improvement, respectively. The application was evaluated using two devices, taking and analysing 144 images from 12 different grapevine varieties. The Recall and Precision results ranged between 0.8762 and 0.9082 and 0.9392–0.9508, depending on the device. The average computational time required to analyse the 144 images varied from 3.14 to 8.40 s. According to these results, vitisBerry constitutes a tool for viticulturists to acquire phenotyping information from their vineyards in an easy and practical way.
PB Elsevier
SN 0168-1699
SN 1872-7107 (electrónico)
YR 2018
FD 2018-03
LK https://hdl.handle.net/10272/23046
UL https://hdl.handle.net/10272/23046
LA eng
NO Aquino, A., Barrio, I., Diago, M.-P., Millan, B., & Tardaguila, J. (2018). vitisBerry: An Android-smartphone application to early evaluate the number of grapevine berries by means of image analysis. In Computers and Electronics in Agriculture (Vol. 148, pp. 19–28). Elsevier BV. https://doi.org/10.1016/j.compag.2018.02.021
NO This work received funding from the European Community’s Seventh Framework Program (FP7/2007–2013) under Grant Agreement FP7-311775, Project Innovine. Additional funding was given by the "Agencia de Desarrollo Económico de La Rioja" through project VINETICS (2012-I-IDD-00097). The authors would also like to thank Prof. Serge Delrot, Prof. Cornelius van Leewen and Agnès Destract from the "Institut des Sciences de la Vigne et du Vin" (Bordeaux, France) for allowing us to acquire images in the VitAdapt vineyard.
DS Repositorio Institucional de la Universidad de Huelva
RD 31 may 2026