IVES 9 IVES Conference Series 9 GiESCO 9 GiESCO 2025 9 Category: Poster communication - Digitization, mechanization and robotics

Poster communication – Digitization, mechanization and robotics

Poster communication - Digitization, mechanization and robotics

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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Poster communication - Digitization, mechanization and robotics

Morphological image analysis for determining bunch grape characteristics: A case study on bunch weight in Cabernet-Sauvignon

Morphological image analysis is a powerful technique used in various fields, including agriculture, to quantitatively assess the physical characteristics of objects. In viticulture, the accurate assessment of grapevine characteristics is essential for optimizing crop management and improving the quality of wine production.

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Poster communication - Digitization, mechanization and robotics

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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