用模拟温室远程控制机器人，加速农业研究数据收集。
agriFrame: Agricultural framework to remotely control a rover inside a greenhouse environment
- 构建可远程控制的虚拟温室环境，支持算法测试与真实部署。
- 在普通笔记本上即可运行，适配低算力设备。
- 适合农业自动化、智能温室研究者使用。
全球粮食安全需求推动农业创新，尤其在发展中国家更为迫切。然而，作物生长周期长达一年，导致数据采集与分析周期过长。为突破这一瓶颈，研究者正探索农业数字孪生技术。本文提出 agriFrame 农业框架，构建一个可模拟温室环境，用于测试和远程控制机器人，并实现算法在真实温室中的部署。该工作强调了网络架构、可远程操控的机器人与消息协议之间的协同重要性。agriFrame 经优化后可在最低配置的笔记本或台式机上运行，兼具高效性与易用性。
原文摘要 · Abstract (English)
The growing demand for innovation in agriculture is essential for food security worldwide and more implicit in developing countries. With growing demand comes a reduction in rapid development time. Data collection and analysis are essential in agriculture. However, considering a given crop, its cycle comes once a year, and researchers must wait a few months before collecting more data for the given crop. To overcome this hurdle, researchers are venturing into digital twins for agriculture. Toward this effort, we present an agricultural framework(agriFrame). Here, we introduce a simulated greenhouse environment for testing and controlling a robot and remotely controlling/implementing the algorithms in the real-world greenhouse setup. This work showcases the importance/interdependence of network setup, remotely controllable rover, and messaging protocol. The sophisticated yet simple-to-use agriFrame has been optimized for the simulator on minimal laptop/desktop specifications.
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