Proceedings
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| Filter results3 paper(s) found. |
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1. Enhanced Deep Learning Framework Driven Grape Berry Temperature Estimation and 72-h Forecasting for Precision Heat Stress ManagementThe increasing frequency of extreme summer heat events poses a significant threat to grape production in the Pacific Northwest (PNW), U.S., and globally. Elevated temperatures can induce sunburn, accelerate organic acid degradation, and cause anthocyanin loss, ultimately reducing berry quality. Berry surface temperature (BST), which can exceed ambient air temperature by up to 15 °C, is a primary indicator of heat stress severity. However, BST dynamics are governed by complex, nonlinear thermodynamic... |
2. Spatial Variability of Foliar Nutrient Contents in a Vineyard of the Campanha Gaúcha RegionLeaf analysis is an essential tool for understanding nutrient availability, absorption, and redistribution processes in plants, providing technical support for decision-making in precision viticulture systems. The spatial variability of nutrient contents in leaf tissue is associated with soil heterogeneity, topographic conditions, and vineyard management practices. The objective of this study was to evaluate the spatial variability of macronutrients in grapevine leaf tissue, identifying distribution... R. Balsamo Brondani, B.T. Paese, J.M. Moura-bueno, A.A. Kokkonen, G. Brunetto |
3. IBRA MEGALAB - From Soil Maps to Precision Irrigation: Transforming Data into Decisions... R. Battist |