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毛伊:用于特种作物研究的UAS图像的模块化分析

Kathleen Kanaley¹, Maylin J Murdock², Tian Qiu²

¹Plant Pathology and Plant Microbe Biology Section, School of Integrative Plant Science, Cornell University, Cornell AgriTech, 15 Castle Creek Drive, Geneva, NY, 14456, USA.

|May 20, 2025

概括

MAUI是一个新的工作流程,用于分析特种作物的无人机图像. 它准确地对葡萄和大麻等作物进行细分,改善了用于研究的光谱数据提取. 该工具增强了对独特作物系统的农业洞察力.

科学领域:

农业科学农业科学
遥感遥感遥感遥感
计算机视觉计算机视觉

背景情况:

带有成像传感器的无人机系统 (UAS) 对农业监测至关重要.
现有的图像分析方法由于独特的种植实践而与特种作物作斗争.
对于特种作物,需要专门的图像处理工作流程.

研究的目的:

介绍MAUI,一个可定制的特种作物的图像处理工作流.
简化葡萄园和大麻试验的多光谱图像分析.
为了实现准确的作物细分和光谱数据提取用于研究.

主要方法:

开发了MAUI,用于UAS数据的模块化图像处理工作流.
测试了五种树冠细分方法,包括DeepLabv3和SAM.
应用MAUI用于病理学研究葡萄园和大麻育种试验.
生成多光谱的orthomosaic时间序列和提取的作物光谱.

主要成果:

在两个生长季节中,MAUI成功处理了UAS数据.
深度实验室v3和SAM实现了高细分精度 (mIoU 0.85和0.95).
细分精度在作物类型之间有所不同,强调工作流的灵活性.
MAUI改善了大麻和葡萄藤治疗组的光谱歧视.

结论:

MAUI提供了一个模块化框架,用于从特种作物UAS图像中提取光谱数据.
工作流显示了跨式和排列作物系统的多功能性.
MAUI增强了特种作物的光谱数据分析,促进了常规研究的整合.
由于MAUI的开源性质,促进了研究人员广泛采用.

关键词:

葡萄藤是葡萄树中的一种.麻是一种大麻.图像细分图像细分图像细分特殊作物特殊作物美国UASUAS 视觉基础模型的模型

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