Works matching AU Cogato, Alessia
Results: 16
Challenges and Tendencies of Automatic Milking Systems (AMS): A 20-Years Systematic Review of Literature and Patents.
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- Animals (2076-2615), 2021, v. 11, n. 2, p. 356, doi. 10.3390/ani11020356
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Extreme Weather Events in Agriculture: A Systematic Review.
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- Sustainability (2071-1050), 2019, v. 11, n. 9, p. 2547, doi. 10.3390/su11092547
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Utilizing GIS tools to analyze viticultural choices under climate change scenario in North-East of Italy.
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- Geophysical Research Abstracts, 2018, v. 20, p. 142
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The Role of Buildings in Rural Areas: Trends, Challenges, and Innovations for Sustainable Development.
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- Agronomy, 2023, v. 13, n. 8, p. 1961, doi. 10.3390/agronomy13081961
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Water Stress Impacts on Grapevines (Vitis vinifera L.) in Hot Environments: Physiological and Spectral Responses.
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- Agronomy, 2022, v. 12, n. 8, p. N.PAG, doi. 10.3390/agronomy12081819
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Automatic Bunch Detection in White Grape Varieties Using YOLOv3, YOLOv4, and YOLOv5 Deep Learning Algorithms.
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- Agronomy, 2022, v. 12, n. 2, p. 319, doi. 10.3390/agronomy12020319
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Economic Comparison of Satellite, Plane and UAV-Acquired NDVI Images for Site-Specific Nitrogen Application: Observations from Italy.
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- Agronomy, 2021, v. 11, n. 11, p. 2098, doi. 10.3390/agronomy11112098
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Evaluating the Spectral and Physiological Responses of Grapevines (Vitis vinifera L.) to Heat and Water Stresses under Different Vineyard Cooling and Irrigation Strategies.
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- Agronomy, 2021, v. 11, n. 10, p. 1940, doi. 10.3390/agronomy11101940
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Smart Horticulture: Latest Advances and Prospects.
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- Horticulturae, 2025, v. 11, n. 1, p. 27, doi. 10.3390/horticulturae11010027
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Can Multi-Temporal Vegetation Indices and Machine Learning Algorithms Be Used for Estimation of Groundnut Canopy State Variables?
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- Horticulturae, 2024, v. 10, n. 7, p. 748, doi. 10.3390/horticulturae10070748
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Satellite Monitoring of Italian Vineyards and Spatio-Temporal Variability Assessment.
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- AgriEngineering, 2024, v. 6, n. 4, p. 4107, doi. 10.3390/agriengineering6040232
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Anthocyanin and proanthocyanidin evolution during ripening of the Refošk grapevine is modulated by deficit irrigation.
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- Vitis, 2024, v. 63, p. 1, doi. 10.5073/vitis.2024.63.12
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Soil Footprint and Land-Use Change to Clean Energy Production: Implications for Solar and Wind Power Plants.
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- Land (2012), 2023, v. 12, n. 10, p. 1822, doi. 10.3390/land12101822
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Integrating Hyperspectral, Thermal, and Ground Data with Machine Learning Algorithms Enhances the Prediction of Grapevine Yield and Berry Composition.
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- Remote Sensing, 2024, v. 16, n. 23, p. 4539, doi. 10.3390/rs16234539
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Medium-Resolution Multispectral Data from Sentinel-2 to Assess the Damage and the Recovery Time of Late Frost on Vineyards.
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- Remote Sensing, 2020, v. 12, n. 11, p. 1896, doi. 10.3390/rs12111896
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Assessing the Feasibility of Using Sentinel-2 Imagery to Quantify the Impact of Heatwaves on Irrigated Vineyards.
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- Remote Sensing, 2019, v. 11, n. 23, p. 2869, doi. 10.3390/rs11232869
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