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2. Towards Precise Pruning Points Detection using Semantic-Instance-Aware Plant Models for Grapevine Winter Pruning Automation

3. Grapevine Winter Pruning Automation: On Potential Pruning Points Detection through 2D Plant Modeling using Grapevine Segmentation

4. Whole-Body Control on Non-holonomic Mobile Manipulation for Grapevine Winter Pruning Automation

14. Effects of Apical, Late-Season Leaf Removal on Vine Performance and Wine Properties in Sangiovese Grapevines (Vitis vinifera L.).

16. Quantifying water stress in vineyards using a smartphone

19. Climate Change Affects Choice and Management of Training Systems in the Grapevine

20. A whole-canopy approach to assess varying effects of cover crop vs grapevine competition and recovery

21. Physiological efficiency of grapevine canopies having varying geometries: Seasonal and diurnal whole canopy gas exchange assessment under well-watered and water deficit conditions

25. Identifying the best parameters to determine genotype capability to retain adequate malic acid at harvest and in final wines

26. Summer pruning in Mediterranean vineyards: is climate change affecting its perception, modalities, and effects?

29. Autochthonous Red Varieties in the Oltrepò Pavese Wine District: An Effective Tool for Adaptation to Climate Change.

32. Grapevine quality: A multiple choice issue

34. Model-assisted analysis for tuning anthocyanin composition in grape berries

36. Double-Pruning: preventive technique against spring frost damage

44. Vine Performance and Phenology Postponement in Cane-Pruned Chardonnay Vines Grown in a Temperate Climate: The Effects of a Delayed Winter Pruning

45. Reintroducing Autochthonous Minor Grapevine Varieties to Improve Wine Quality and Viticulture Sustainability in a Climate Change Scenario

46. La potatura tardiva per la prevenzione dei danni da brinata e il controllo della maturazione

47. Incidence of spring frost under climate change: injury and recovery options in a Barbera vineyard

48. Danni da gelate tardive, preservare la qualità è possibile

49. Using deep learning for pruning region detection and plant organ segmentation in dormant spur-pruned grapevines

50. Un approccio tecnico all’uso del caolino per contrastare gli stress estivi in vigneto

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