6月26日学术报告会-精准农业传感器系统
文章来源: 点击数: 更新日期:2017-06-23
报告题目:精准农业传感器系统
报 告 人:乔启全 教授  美国南达科塔州立大学
报告时间:2017年6月26日(周一)下午15:00
报告地点:工学院3教202会议室
主办单位:工学院、科技处 
报告人简介:
Dr. Qiquan Qiao is Harold C. Hohbach Professor and graduate coordinator in Electrical Engineering at South Dakota State University (SDSU). Current research focuses on polymer photovoltaics, dye-sensitized solar cells, Perovskite solar cells, lithium ion batteries, biosensors and agriculture sensors.  He has published more than 100 peer reviewed papers in leading journals including Energy and Environmental Science, Journal of the American Chemical Society, Advanced Materials, Advanced Energy Materials, Advanced Functional Materials, Nanoscale, and Nano Energy, etc. He has received more than $6.5 million research grants as PI or Co-PI. He has 2015 Distinguished Researcher Award from SDSU, received 2014 F O Butler Award for Excellence in Research at SDSU, 2010 US NSF CAREER, and 2009 Bergmann Memorial Award from the US-Israel Bi-national Science Foundation.
 
Talk title: Precision Agriculture Sensing Systems
Talk abstract: The objective of this work will create real-time precision agriculture sensor systems that can be used to detect changes in temperature, CO2, NO3-N, oxygen, phosphate, nitrate, moisture, and electrical conductivity (EC). This information can be used to calculate improvements in porosity, water flow, potential nutrient stresses, and yield potential.  Ground-based sensors linked to aerial remote sensing can be used to provide comprehensive information on the fate of the seed from planting to harvest.  To achieve this objective, novel sensors, sensor networks, and their integration into drones and/or swarms with real time mapping and monitoring capability will be developed. Non-contact sensing systems using high resolution camera, infrared, thermal, normalized difference vegetation index (NDVI) and multispectral sensors will be developed.  This allows direct visibility over the health of soil and crops by viewing parameters such as sunlight absorption rates, transpiration rates, crop health, CO2 content, temperature, moisture, soil variation and health status.
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