Abstract
AbstractAn opportunity index (OISV) is proposed for selective vine harvest management to ensure vineyard sustainability making use of precision farming technologies. Vigour maps derived from remote sensors are the basis of the method. In terms of validation, the index was applied in 36 vineyard fields of different varieties in Raimat (Lleida, northeast Spain). The OISV is based on three components: (i) the spatial variability in vine vigour (to ensure variability in the quality of grapes), (ii) the spatial structure or pattern of vigour (to facilitate harvesting operations), and (iii) the availability of a minimum productive quality area within the plot (to ensure that benefits derived from the differentiation of the final product will compensate for the expenses of differential management). The results suggest that only few plots were suitable for selective vintage, although an acceptable agreement was obtained when comparing the plots harvested selectively by the winery and those classified as favourabl...
Highlights
Previous research in the field of precision viticulture (PV) has shown that vineyard yield and vigour vary within a field with some correlation, and the pattern of variation of both these variables presents a significant spatial structure (Bramley & Hamilton, 2004, 2007)
The Opportunity index for selective vintage (OISV) may be regarded as being highly restrictive in terms of its simultaneous requirement for the three parameters to exceed the following threshold values: 14.5% for CVS, 50 m for Mean Correlation Distance (MCD), and 3 ha for surface area with high quality grapes (AL)
The OISV is an index that assesses the opportunity for selective harvesting at plot level
Summary
Previous research in the field of precision viticulture (PV) has shown that vineyard yield and vigour vary within a field with some correlation, and the pattern of variation of both these variables presents a significant spatial structure (Bramley & Hamilton, 2004, 2007). The OI is designed to be applied by a big winery in Raimat (Lleida, northeast Spain), to classify vineyard plots using GIS software and according to the opportunities for selective harvesting for two different qualities of grape (Figure 1).
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