Automated early yield prediction in vineyards from on-the-go image acquisition

Author:

Aquino Arturo,Millan Borja,Diago Maria-Paz,Tardaguila Javier

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference33 articles.

1. Viticultural evaluation of French and California pinot noir clones grown for production of sparkling wine;Anderson;Am. J. Enol. Viticult.,2008

2. A new methodology for estimating the grapevine-berry number per cluster using image analysis;Aquino;Biosyst. Eng.,2017

3. Stades repères de l’abricotier;Baggiolini;Revue Romande d'Agriculture, de Viticulture et d'Arboriculture,1952

4. Understanding variability in winegrape production systems. 1 – Within vineyard variation in yield over several vintages;Bramley;Aust. J. Grape Wine R.,2004

5. Chamelat, R., Rosso, E., Choksuriwong, A., Rosenberger, C., Laurent, H., Bro, P., 2006. Grape detection by image processing. In: Proc. of the 32nd Annual Conference on IEEE Industrial Electronics, Paris, France, pp. 3697–3702.

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