用百元级摄像头教学生做多光谱成像，融合编程与农业应用。
Raspberry Pi multispectral imaging camera system (PiMICS): a low-cost, skills-based physics educational tool
- 基于树莓派和3D打印，构建15-25通道多光谱相机。
- 学生完成设备后开展植物健康、果实成熟度等实测研究。
- 适合发展中国家教育与农业技术能力建设，跨学科实用性强。
我们在厄瓜多尔、南非和美国开展了低成本物理实验教育试点项目。项目源于对非洲教育者、研究人员及领导者的需求数据调研，确认对低成本、技能导向、主动学习工具的强烈需求。据此开发出可3D打印、基于树莓派的多光谱相机（15至25个光谱通道，覆盖可见光与近红外波段），成本低至100美元。该课程帮助学生掌握3D建模、3D打印、反馈控制、图像分析、Python编程、系统集成及人工智能，并深入学习光谱学。学生完成设备后，开展植物健康、植物胁迫、采后水果成熟度评估，以及纳米结构昆虫翅膀的偏振与光谱分析研究，其中后者获会议最佳应用研究奖，并在本文重点展示。这些相机可成为发展中国家农业、回收、医疗和制药基础设施的重要组成部分。因此，本实验有望在学生培养与国家能力建设的交汇点发挥关键作用。
原文摘要 · Abstract (English)
We report on an educational pilot program for low-cost physics experimentation run in Ecuador, South Africa, and the United States. The program was developed after having needs-based discussions with African educators, researchers, and leaders. It was determined that the need and desire for low-cost, skills-building, and active-learning tools is very high. From this, we developed a 3D-printable, Raspberry Pi-based multispectral camera (15 to 25 spectral channels in the visible and near-IR) for as little as $100. The program allows students to learn 3D modeling, 3D printing, feedback, control, image analysis, Python programming, systems integration and artificial intelligence as well as spectroscopy. After completing their cameras, the students in the program studied plant health, plant stress, post-harvest fruit ripeness, and polarization and spectral analysis of nanostructured insect wings, the latter of which won the ``best-applied research" award at a conference poster session and will be highlighted in this paper. Importantly, these cameras can be an integral part of any developing country's agricultural, recycling, medical, and pharmaceutical infrastructure. Thus, we believe this experiment can play an important role at the intersection of student training and developing countries' capacity building.
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