Abstract: Grape juice composition during the different stages of berry growth was compared. The analytical data collected were used to investigate the relationships between some of the different components studied in these berries during the ripening period. Our goal is to study, with neural networks, the impact of water availability on Vitis vinifera L. cv. Tempranillo grape yields and juice composition over a three-year period.

Keywords: Clustering, Grapes, Neural networks, Organic acids, Sugars, Vitis vinifera.

ACM Classification Keywords: C.1. Processor Architectures , I.5.2 Design Methodology

Link:

APLICATIONS OF NEURAL NETWORKS TO FIND THE IMPACT OF WATER IN DIFFERENT BERRY COMPONENTS IN GRAPES

Angel Castellanos, Marita Esteban, Ana Martinez, Valentin Palencia

http://www.foibg.com/ijitk/ijitk-vol02/ijitk02-4-p08.pdf