Evaluation of Vine’s Annual Carbon Stocks by Means of LiDAR-Based 3D Reconstruction

Q3 Engineering

IFAC-PapersOnLine Pub Date : 2025-01-01 Epub Date: 2025-12-05 DOI:10.1016/j.ifacol.2025.11.816

Marco Bignardi , Nikos Tsoulias , Andreas Heiß , Dimitrios S. Paraforos

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引用次数: 0

Abstract

Climate change significantly impacts viticulture by harming plant and fruit growth, resulting in lower quality and storage issues. Therefore, there is growing scientific interest in the carbon fluxes of vineyard management activities, including efforts to measure carbon capture and storage in annual biomass. Precision Viticulture and Machine Vision techniques can help assess variations in vines’ biomass, which relate to the vines’ carbon balance. The present study examined the feasibility of a light detection and ranging (LiDAR) for vines’ (Vitis vinifera L. cv. Riesling) annual biomass reconstruction and its role in the annual carbon cycle. The leaves dry weight showed a high correlation coefficient of R² = 0.87 with the LiDAR-based leaf area estimation. Thus, making the proposed sensing system reliable for biomass elemental carbon assessment. Nevertheless, no significant correlation was found for the monitoring of leaf area/fruit ratio. The proposed study showcases the potential and the limits of LiDAR-based vine biomass assessment.

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基于激光雷达三维重建的葡萄树年碳储量评价

气候变化严重影响葡萄种植，损害植物和果实生长，导致质量下降和储存问题。因此，人们对葡萄园管理活动的碳通量越来越感兴趣，包括测量年生物量中碳捕获和储存的努力。精密葡萄栽培和机器视觉技术可以帮助评估葡萄生物量的变化，这与葡萄的碳平衡有关。本研究探讨了葡萄（Vitis vinifera L. cv）的光探测和测距（LiDAR）的可行性。雷司令)年生物量重建及其在年碳循环中的作用。叶片干重与基于激光雷达的叶面积估算具有较高的相关系数R²= 0.87。因此，使所提出的传感系统可靠的生物质元素碳评估。然而，叶面积/果比的监测没有发现显著的相关性。该研究展示了基于激光雷达的藤本植物生物量评估的潜力和局限性。

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

IFAC-PapersOnLine Engineering-Control and Systems Engineering

CiteScore

1.70

自引率

0.00%

发文量

1122

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