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Drone Based Technologies for Assessing Modern Farming Practices in Undergraduate Research

机译:基于无人机的技术在本科生研究中评估现代农业实践

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The modern farm is a technological marvel, from smart tractors to genetically modified organisms (GMOs), along withchemical pesticides and fertilizer. Farms today have continuously increased production by utilizing these varioustechniques. Many farms on the east coast of North America are growing dent or field corn while also rotating cropsbetween soybeans of various types and winter wheat. These crops have become symbiotic in nature due to the need forspecific soil nutrients of the crops and the practice of no till farming. More recently, schools with farm programs havestarted researching the use of drone technologies and multispectral analysis as a means to reduce chemical usage therebysaving farmers annual chemical costs. This paper investigates the use of drones in capstone projects for undergraduateengineering and computer science programs. Undergraduate capstone projects usually require a design and build elementto satisfy ABET accreditation requirements. Therefore, the students needed to design and build an airframe capable ofsurveying farms with a multispectral camera. In the course of the aircraft design process it was discovered that the studentsneeded to have a broader understanding of federal regulations, experimentation, and a robust understanding of how thedrones and data would be used to benefit a typical farm. In addition, we look at the results obtained and discuss theproblems associated with making the data and analysis accessible to the farmers who participated in our study. In theprocess we also discovered other potential uses for the images we created.
机译:从智能拖拉机到转基因生物(GMO),现代农场是一个技术奇迹 化学农药和化肥。今天的农场通过利用这些各种各样的产品不断提高产量 技术。北美东海岸的许多农场都在种植凹痕或田间玉米,同时还轮作农作物 在各种类型的大豆和冬小麦之间。由于对作物的需求,这些作物已成为自然界中的共生植物。 作物的特定土壤养分和免耕耕作的实践。最近,有农场计划的学校有 开始研究使用无人机技术和多光谱分析作为减少化学药品使用的方法 节省了农民每年的化学费用。本文研究了无人机在大学生的顶峰项目中的使用 工程和计算机科学程序。本科生的顶峰项目通常需要设计和构建元素 满足ABET认证要求。因此,学生需要设计和建造能够 用多光谱相机对农场进行调查。在飞机设计过程中,发现学生 需要对联邦法规,实验有更广泛的了解,并对 无人机和数据将用于使典型农场受益。此外,我们将查看获得的结果并讨论 与参与我们研究的农民共享数据和分析有关的问题。在里面 在处理过程中,我们还发现了所创建图像的其他潜在用途。

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