A. Nagchaudhuri, C. Hartman, Travis Ford, J. Pandya
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引用次数: 0
摘要
在过去的几年里,马里兰大学东岸分校(University of Maryland Eastern Shore)一直在进行智能农业的体验式学习和研究。基于多光谱无人机图像的可变速率施肥现代技术的最新现场实施无线太阳能土壤湿度传感器网络在具有地下滴灌和施肥能力的农田上的部署本文将介绍一个可持续平台的开发,该平台集成了一个由太阳能和风能驱动的笛卡尔机器人设备,可以播种、除草、灌溉和捕捉延时摄影,同时为特殊作物和蔬菜的小型抬高床提供服务。还将着重介绍最初阶段执行工作的结果和今后的目标。
Recent Field Implementation of Contemporary and Smart Farming Technologies at the University of Maryland Eastern Shore
Smart farming experiential learning and research endeavors have been ongoing at the University of Maryland Eastern Shore (UMES) for the past several years. Recent field implementation of contemporary technologies for variable rate fertilizer application based on multispectral drone imagery; deployment of wireless solar powered soil moisture sensor network on a field with subsurface drip and fertigation capability; and development of a sustainable platform integrated with a Cartesian robotic device powered by solar and wind energy that can seed, weed, irrigate, and capture time-lapse photography while servicing a small raised bed for specialty crops and vegetables will be described in this paper. Results from the initial phase of implementation efforts and future goals will also be highlighted.