EARLY ESTIMATION OF VINEYARD YIELD: SITE SPECIFIC COUNTING OF BERRIES BY USING A SMARTPHONE

Mathieu Grossetete (1) , Yannick Berthoumieu (1) , Jean-Pierre da Costa (1) , Christian Germain (1) , Olivier Lavialle (1) , Gilbert Grenier (1)

1 IMS - Laboratoire de l'intégration, du matériau au système

Early yield estimation needs to be more accurate in order to improve site specific management of vineyards and increase their profitability. Common methods for yield estimation are based on a manual random sampling of the vineyard. The purpose of this paper is to propose a new approach based on the use of a Smartphone. This device allows for collecting data quickly and without operator bias. For each sampling point, a picture taken using the Smartphone is automatically processed from which the number of berries is calculated. All the results are georeferenced thanks to the GPS receiver of the Smartphone device and could be used to produce prediction yield maps.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]; Sciences et techniques de l'agriculture

Mathieu Grossetete, Yannick Berthoumieu, Jean-Pierre da Costa, Christian Germain, Olivier Lavialle, et al.. EARLY ESTIMATION OF VINEYARD YIELD: SITE SPECIFIC COUNTING OF BERRIES BY USING A SMARTPHONE. International Conference on Agiculture Engineering (AgEng), Jul 2012, Spain. pp.tabla137-C1915. ⟨hal-00950298⟩