High spatial resolution dataset of grapevine yield components at the within-field level

Area of Science:

• Viticulture and Precision Agriculture
• Agricultural Data Science
• Plant Science and Crop Physiology

Background:

• Accurate vine yield data at the plant scale are crucial for advancing viticulture practices and developing new estimation methods.
• Existing field-level yield data lack the spatial resolution needed to analyze intricate relationships between yield components and their distribution.
• High-resolution data on unproductive vines, bunch number, and bunch weight are essential but difficult and costly to obtain at the individual vine level.

Purpose of the Study:

• To present a comprehensive vine yield dataset collected at the plant scale for two Syrah vineyards in Southern France.
• To facilitate the development and testing of novel sampling protocols within the framework of precision viticulture.
• To provide a resource for investigating within-field grape yield organization and the impact of various factors on yield components.

Main Methods:

• Georeferencing of productive and unproductive vines (dead/missing) at the flowering stage.
• Manual counting of inflorescences on productive vines.
• Manual weighing of all bunches (Field 1) and estimation based on representative samples (Field 2) at harvest, alongside ancillary soil and remote sensing data.

Main Results:

• A dataset comprising 3644 vines (2151 productive), 33354 inflorescences, and 19635 weighed bunches was compiled.
• Detailed within-field mapping of grape yield components at the individual vine level was achieved.
• Ancillary data, including soil apparent resistivity and vegetation indices, were collected for correlation analysis.

Conclusions:

• The created dataset offers unprecedented detail on grape yield organization at the within-field scale.
• This resource is valuable for assessing the influence of unproductive vines on neighboring vine yields.
• The dataset enables the exploration of correlations between ancillary data and various yield components, advancing precision viticulture research.