A critical review of innovative technologies for grape quality assessment in support of plant phenomics and precision viticulture

IF 4.6 2区农林科学 Q1 HORTICULTURE

Scientia Horticulturae Pub Date : 2026-10-01 Epub Date: 2026-10-07 DOI:10.1016/j.scienta.2026.115208

Vincenzo Cianciola, Gaetano Alessandro Vivaldi, Eve Laroche-Pinel, Luca Brillante

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引用次数: 0

Abstract

Viticulture has experienced significant advancements in technologies for assessing grape composition, pivotal for optimizing wine quality. This review critically explores the evolution from conventional destructive sampling and laboratory analyses to innovative, non-destructive, and real-time monitoring approaches in precision viticulture. Focus is placed on key grape quality indicators including sugar content, acidity, phenolic compounds, and aromatic profiles. Emerging technologies such as handheld near-infrared (NIR) spectrometers, hyperspectral and multispectral imaging systems, vehicle-mounted and drone-based remote sensing platforms, and Internet of Things (IoT)-enabled sensor networks are evaluated for their capability to deliver spatially-resolved compositional data. These tools enable detailed mapping of vineyard variability, supporting improved decision-making in harvest timing and selective harvesting practices. The synthesis provided highlights the integration of advanced sensing technologies with machine learning and geospatial analytics, presenting a pathway towards more precise, rapid, and cost-effective grape quality management. This comprehensive overview offers valuable insights for viticulturists and winemakers aiming to harness digital innovations to enhance productivity and preserve terroir expression while addressing practical challenges related to calibration, environmental variability, and operational scalability.

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支持植物表型学和精准葡萄栽培的葡萄品质评价创新技术综述

葡萄栽培在评估葡萄成分的技术方面取得了重大进展，这对优化葡萄酒质量至关重要。这篇综述批判性地探讨了从传统的破坏性采样和实验室分析到创新的、非破坏性的和实时监测方法在精确葡萄栽培中的演变。重点放在关键的葡萄品质指标，包括糖含量，酸度，酚类化合物和芳香谱。新兴技术，如手持式近红外（NIR）光谱仪、高光谱和多光谱成像系统、车载和无人机遥感平台以及支持物联网（IoT）的传感器网络，其提供空间分辨成分数据的能力得到了评估。这些工具可以详细绘制葡萄园的变化，支持改进采收时间和选择性采收实践的决策。该合成强调了将先进的传感技术与机器学习和地理空间分析相结合，为更精确、快速和具有成本效益的葡萄质量管理提供了一条途径。这一全面的概述为葡萄种植者和酿酒师提供了宝贵的见解，旨在利用数字创新来提高生产力和保护风土的表达，同时解决与校准、环境变化和操作可扩展性相关的实际挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Scientia Horticulturae 农林科学-园艺

CiteScore

8.60

自引率

4.70%

发文量

796

审稿时长

47 days

期刊介绍： Scientia Horticulturae is an international journal publishing research related to horticultural crops. Articles in the journal deal with open or protected production of vegetables, fruits, edible fungi and ornamentals under temperate, subtropical and tropical conditions. Papers in related areas (biochemistry, micropropagation, soil science, plant breeding, plant physiology, phytopathology, etc.) are considered, if they contain information of direct significance to horticulture. Papers on the technical aspects of horticulture (engineering, crop processing, storage, transport etc.) are accepted for publication only if they relate directly to the living product. In the case of plantation crops, those yielding a product that may be used fresh (e.g. tropical vegetables, citrus, bananas, and other fruits) will be considered, while those papers describing the processing of the product (e.g. rubber, tobacco, and quinine) will not. The scope of the journal includes all horticultural crops but does not include speciality crops such as, medicinal crops or forestry crops, such as bamboo. Basic molecular studies without any direct application in horticulture will not be considered for this journal.