Grape Quality Zoning and Selective Harvesting in Small Vineyards—To Adopt or Not to Adopt
Ivana Rendulić Jelušić,
Branka Šakić Bobić,
Zoran Grgić,
Saša Žiković,
Mirela Osrečak,
Ivana Puhelek,
Marina Anić and
Marko Karoglan
Additional contact information
Ivana Rendulić Jelušić: Zagreb County, Ulica Grada Vukovara 72, 10000 Zagreb, Croatia
Branka Šakić Bobić: Department of Management and Rural Entrepreneurship, Faculty of Agriculture, University of Zagreb, 10000 Zagreb, Croatia
Zoran Grgić: Department of Management and Rural Entrepreneurship, Faculty of Agriculture, University of Zagreb, 10000 Zagreb, Croatia
Mirela Osrečak: Department of Viticulture and Enology, Faculty of Agriculture, University of Zagreb, 10000 Zagreb, Croatia
Ivana Puhelek: Department of Viticulture and Enology, Faculty of Agriculture, University of Zagreb, 10000 Zagreb, Croatia
Marina Anić: Department of Viticulture and Enology, Faculty of Agriculture, University of Zagreb, 10000 Zagreb, Croatia
Marko Karoglan: Department of Viticulture and Enology, Faculty of Agriculture, University of Zagreb, 10000 Zagreb, Croatia
Agriculture, 2022, vol. 12, issue 6, 1-22
Abstract:
The practical application of grape quality zoning and selective harvesting in small vineyards (<1 ha) has not yet gained much importance worldwide. However, winegrowers with small vineyards are looking for ways to improve wine quality and maximise profit. Therefore, the aim of this study was to identify the most predictive vegetation index for grape quality zoning among three vegetation indices—NDVI, NDRE, and OSAVI—at three grapevine growth stages for the efficient use in small vineyards for the selective harvesting and production of different wine types from the same vineyard. Multispectral images were used to delineate two vigour zones at three different growth stages. The target vines were sampled, and the most predictive vegetation index was determined by overlapping the quality and vigour structures for each site and year. A differential economic analysis was performed, considering only the costs and revenues associated with grape quality zoning. The results show that OSAVI is the least predictive, while NDVI and NDRE are useful for grape quality zoning and selective harvesting. Multi-year monitoring is required to determine the ideal growth stage for image acquisition. The use of grape quality zoning and selective harvesting can be economically efficient for small wineries producing two different “super-premium” wines from the same vineyard.
Keywords: grape quality zoning; selective harvesting; vegetation indices; data-intensive technologies; PV adoption strategies; small vineyards; economic efficiency (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:12:y:2022:i:6:p:852-:d:837359
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