Laboratory and field comparison of onboard and remote sensors for canopy characterisation in vineyards

IF 8.9 1区农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY

Computers and Electronics in Agriculture Pub Date : 2025-03-09 DOI:10.1016/j.compag.2025.110240

Jordi Biscamps, Francisco Garcia-Ruiz, Ramón Salcedo, Bernat Salas, Emilio Gil

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Abstract

Accurate canopy characterisation is crucial for the targeted application of plant protection products following the variable rate application (VRA) concept. In this study, two different canopy measurement systems were compared: ultrasonic (US) sensors and UAV-based photogrammetry. A specific device was developed to host a series of US sensors that could conduct a fully automatic canopy characterisation of two vine rows in a single pass. The results of canopy characterisation (canopy width, canopy height, leaf wall area, and tree row volume) were compared with those obtained after complete data processing of the images obtained using a multispectral camera embedded on a UAV. Results indicated that no significant differences have been obtained in the definition of main canopy parameters. Field tests indicated that US sensors offered stable canopy height readings but exhibited variability in width measurements due to factors like ground conditions and sensor placement. Compared to with UAV photogrammetry, US sensors provided comparable results for canopy height and width at a lower cost and with less precision. Therefore, the choice between US sensors and UAVs should consider the resolution requirements, cost, and field conditions. Field data were collected from two commercial vineyards in the Penedès region close to Barcelona (Spain). Before this, laboratory tests were performed using an artificial target to achieve an accurate evaluation of the US sensors. Overall, this study highlighted the potential of ground-based sensing systems for precise and repeatable canopy measurements, contributing to improved vineyard management practices and advanced technological integration for agricultural monitoring.

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用于葡萄园树冠特征的机载和远程传感器的实验室和现场比较

准确的冠层特征对于遵循可变速率应用（VRA）概念的植物保护产品的定向应用至关重要。在这项研究中，比较了两种不同的冠层测量系统：超声波（US）传感器和基于无人机的摄影测量。开发了一种特定的设备来承载一系列美国传感器，这些传感器可以在一次通过中对两行葡萄藤进行全自动树冠表征。将冠层表征结果（冠层宽度、冠层高度、叶壁面积和树排体积）与无人机上嵌入的多光谱相机对图像进行完整数据处理后得到的结果进行比较。结果表明，在主要冠层参数的定义上没有显著差异。现场测试表明，美国传感器提供稳定的冠层高度读数，但由于地面条件和传感器位置等因素，在宽度测量中表现出可变性。与UAV摄影测量相比，美国传感器以较低成本和较低精度提供可比较的冠层高度和宽度结果。因此，在美国传感器和无人机之间的选择应该考虑分辨率要求、成本和战场条件。实地数据收集自西班牙巴塞罗那附近pened地区的两个商业葡萄园。在此之前，使用人造目标进行了实验室测试，以实现对美国传感器的准确评估。总的来说，这项研究强调了地面传感系统在精确和可重复的冠层测量方面的潜力，有助于改善葡萄园管理实践和先进的农业监测技术集成。

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来源期刊

Computers and Electronics in Agriculture 工程技术-计算机：跨学科应用

CiteScore

15.30

自引率

14.50%

发文量

800

审稿时长

62 days

期刊介绍： Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.