GiESCO

IVES 9 Tag: GiESCO ( Page 7 )

Using RGB images and LiDAR data to characterise fruit-to-leaf ratios in grapevine collections

One of the main effects of global warming is an increase in the sugar concentration of grapes at harvest time, resulting in wines with a high alcohol content and an unbalanced structure. The fruit to leaf ratio is a key factor in determining the final sugar concentration, and training systems and management techniques can help to control this parameter.

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Applying artificial intelligence for improving grape yield estimation: A case study of wine and table grapes in South Africa

Accurate grape yield estimation is essential for effective vineyard management, crop planning, and resource allocation. Traditional methods often involve time-consuming and labour-intensive processes, which may introduce errors due to the large size and inherent spatial variability of the vineyard blocks.

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Genome editing applications on grapevine cv. Aglianico for the knockout of susceptibility genes related to fungal diseases

Context and purpose of the study. Italy hosts diverse grapevine varieties crucial for viticultural biodiversity. Preserving this biodiversity is essential for maintaining a diversified genetic pool and addressing future challenges such as climate change and emerging plant diseases.

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