农业自动化和智慧农业学生体验式学习项目

A. Nagchaudhuri, M. Mitra, J. Pandya, Caleb Nindo
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引用次数: 0

摘要

马里兰大学东岸分校(UMES)的“智能农业”工作已与NIFA (USDA)支持的能力建设基金支持的农业自动化工作和马里兰太空资助联盟(MDSGC)支持的AIRSPACES(自主仪器机器人感官平台,以提高创造力和吸引学生)项目相结合。该项目的总体目标与美国农业部的“环境友好型农业”和美国宇航局的“地球科学”任务目标一致。在本文中,将解决最近学生参与校园生产农业领域中用于种植谷物作物(如玉米,大豆和小麦)的遥感和精确农业技术,以及用于种植特种作物的室内和室外FarmBot1(自主农业机器人)装置。论文还将概述最近的学生项目,设计和开发自主船只和地面机器人,分别从农田获取地理定位的水质和农艺数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Student Experiential Learning Projects in Agricultural Automation and Smart Farming
“Smart Farming” efforts at the University of Maryland Eastern Shore (UMES) have been integrated with agricultural automation efforts supported by Capacity Building Grant supported by NIFA (USDA) and AIRSPACES (Autonomous Instrumented Robotic Sensory Platforms to Advance Creativity and Engage Students) project supported by Maryland Space Grant Consortium(MDSGC). The broad goals of the project are aligned with USDA's “environmentally friendly agriculture” and NASA's "earth science" mission objectives. In this paper, recent student engagement with remote sensing and precision agricultural technologies utilized in the campus production agricultural fields to grow cereal crops such as corn, soybean, and wheat, as well as, the indoor and outdoor FarmBot1 (autonomous farming robot) set-ups for growing specialty crops will be addressed. The paper will also outline recent student projects to design and develop autonomous boats and ground robots to acquire geo-located water quality and agronomic data from agricultural fields, respectively.
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