The development of Canopeo as a close-range remote sensor for measuring ground cover fraction (GCF) offered farmers and scientists an accurate, simple, low-cost tool for monitoring health and development throughout the plant lifecycle. However, a significant obstacle to image-based monitoring of plant performance is the difficulty of object distinction between plant and background sharing similar colors. The overall goal of this research was to test Canopeo's sensitivity for detecting GCF when plants were imaged on different colored backgrounds in a greenhouse environment. We therefore tested Canopeo's ability to detect plant versus non-plant pixels in each image (resolution 72 × 72) using ten complex flat backgrounds. Multicolored backgrounds resembling flooring which may be found in a greenhouse setting (concrete, brick painted white, natural wood plank, and wood painted white with scuffs) resulted in least amount of deviation (<0.46) when analyzed with the control (flat black) background. Canopeo overestimated GCF of Viburnum sp. and E. pinnatum cv. on a green background which resulted in the greatest amount of deviation (>20). Canopeo demonstrated greatest underestimation GCF for Viburnum sp. and E. pinnatum cv. on a red background. When GCF of the green background was omitted, the r² value of 0.75, or goodness of fit, suggest approximately 75% of the sampling variation can be described by the background color and not experimental error. Canopeo is an easily accessible tool for researchers and farmers to monitor plant growth and development on a diversity of backgrounds beyond soil and field settings.

Canopeo 的开发是一种用于测量地被覆盖率 (GCF) 的近距离远程传感器，为农民和科学家提供了一种准确、简单、低成本的工具，用于监测整个植物生命周期的健康和发育。然而，基于图像的植物性能监测的一个重大障碍是难以区分具有相似颜色的植物和背景之间的对象。这项研究的总体目标是测试 Canopeo 在温室环境中不同颜色背景下对植物进行成像时检测 GCF 的灵敏度。因此，我们使用十个复杂的平坦背景测试了 Canopeo 在每张图像（分辨率 72 × 72）中检测植物与非植物像素的能力。类似于温室环境中的地板的多彩背景（混凝土、涂成白色的砖、当使用对照（纯黑色）背景进行分析时，天然木板和涂成白色且有磨损的木材）产生的偏差最小（<0.46）。卡诺皮奥高估了 GCF荚莲属植物。和E. pinnatum cv. 绿色背景导致最大偏差 (>20)。Canopeo 表现出最大程度地低估了荚莲属植物的 GCF。和E. pinnatum cv. 在红色背景上。当绿色背景的 GCF 被省略时，r ²值为 0.75，或拟合优度，表明大约 75% 的采样变化可以通过背景颜色而不是实验误差来描述。Canopeo 是一种易于使用的工具，可供研究人员和农民在土壤和田间环境之外的多种背景下监测植物生长和发育。