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Advancing plant biomass measurements: Integrating smartphone‐based 3D scanning techniques for enhanced ecosystem monitoring

Methods in Ecology and Evolution · 18 Jun 2025 · 10.1111/2041-210x.70084

Abstract

Abstract New technological developments open novel possibilities for widely applicable methods of ecosystem analyses. We investigated a novel approach using smartphone‐based 3D scanning for non‐destructive, high‐resolution monitoring of above‐ground plant biomass. This method leverages Structure from Motion (SfM) techniques with widely accessible smartphone apps and subsequent computing to generate detailed ecological data. By implementing a streamlined pipeline for point cloud processing and voxel‐based analysis, we enable frequent, cost‐effective and accessible monitoring of vegetation structure and plant community biomass. Conducted in long‐term experimental grasslands, our study reveals a high correlation ( R 2 up to 0.9) between traditional biomass harvesting and 3D volume estimates derived from smartphone‐generated point clouds, validating the method's accuracy and reliability. Additionally, results indicate significant effects of plant species richness and fertilization on biomass production and volume estimates, underscoring the potential for high‐resolution temporal and spatial analyses of vegetation dynamics. This method's innovation extends beyond traditional practices with implications for future integration of AI to automate species segmentation, ecological trait extraction and predictive modelling. The simplicity and accessibility of the smartphone‐based approach facilitate broader engagement in ecosystem monitoring, encouraging citizen science participation and enhancing data collection efforts. Future research will make it possible to refine the accuracy of point cloud processing, expand applications across diverse vegetation types and explore new possibilities in ecological monitoring, modelling and its application in ecosystem analyses and biodiversity research.

Plant phenotyping relevance

スマートフォンの3Dスキャン、SfM、点群・ボクセル解析によって植物バイオマスを推定する手法を開発・検証しており、植物形質取得が研究の中心である。

abstractWe investigated a novel approach using smartphone‐based 3D scanning for non‐destructive, high‐resolution monitoring of above‐ground plant biomass.
abstractBy implementing a streamlined pipeline for point cloud processing and voxel‐based analysis, we enable frequent, cost‐effective and accessible monitoring of vegetation structure and plant community biomass.
abstractvalidating the method's accuracy and reliability

Code and data availability

植物フェノタイピング解析を再現する公開資産であることを、入力本文と直接リンクから確認できなかったため保留しました。

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