精准农业用于葡萄酒生产:一种机器学习方法,将天气条件与葡萄酒质量联系起来
Giovanna Maria Dimitri1, Alberto Trambusti1
1Dipartimento di Ingegneria dell'Informazione e Scienze Matematiche, Universitá di Siena, Via Roma 56, 53100 Siena, Italy.
Heliyon
|June 13, 2024
概括
这项研究分析了土壤和气候因素如何影响托斯卡纳吉安蒂古典地区葡萄酒的质量. 它使用机器学习和调查来揭示改善葡萄园管理和葡萄酒生产的关键关系.
科学领域:
- 农业科学 农业科学
- 葡萄种植和葡萄酒学
- 数据科学在农业中的应用
背景情况:
- 葡萄种植对环境,作物和操作变量都很敏感.
- 精准农业技术可以提高葡萄园的效率和利能力.
- 了解土壤气候影响对于葡萄酒质量管理至关重要.
研究的目的:
- 分析土壤气候因素对奇安蒂古典葡萄酒 (DOCG) 地区葡萄酒质量的影响.
- 研究影响葡萄酒生产的环境,葡萄种植和运营因素之间的相互关系.
- 为葡萄酒厂提供见解,以优化资源潜力和提高葡萄酒质量.
主要方法:
- 收集了一个新的地理和葡萄酒质量信息数据集.
- 利用无监督的机器学习来深入检查小气候和生产数据.
- 使用温度记录计算的葡萄种植指数 (温克勒,胡格林,弗雷戈尼,新鲜度).
- 设计并分发了一份调查,在奇安蒂古典地区的葡萄酒厂.
主要成果:
- 阐明了小气候参数,葡萄种植,田间作业和葡萄酒质量之间的关系.
- 通过相关性分析确定了影响葡萄酒生产和品质的关键因素.
- 建立了一个前所未有的分析,将环境数据与葡萄酒质量评估联系起来.
结论:
- 乡村气候因素对奇安蒂古典的葡萄酒生产和品质有很大的影响.
- 这项研究为未来关于气候在葡萄栽培中的作用的研究提供了基础.
- 获得的见解可以帮助葡萄酒厂优化做法,以提高葡萄酒质量和利能力.
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