Education

Research Description

Dr. Xiang's research mainly focuses on developing smart cyber-physical systems that integrate cutting-edge robotics, machine vision, and machine learning technologies to automate labor-intensive tasks in agricultural systems. The research topics include but are not limited to: developing robotic platforms for weeding, transplanting, and selective harvesting; adopting AI and robotics tools for precision livestock management; and combining aerial and ground robots for in-situ and non-invasive crop sensing.

Grants

Precision Agriculture Technologies for Cotton Production in North Carolina

Cotton, Inc.(1/01/12 - 12/31/23)

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Precision Agriculture Technologies for Cotton Production in North Carolina

Sponsor: Cotton, Inc.

Start Date: 1/01/12

End Date: 12/31/23

Abstract

Precision agriculture technology is being adopted in many crop production enterprises to optimize crop yields, minimize their associated costs and reduce environmental impacts of excessive crop inputs. Precision agriculture technology enhances management through variable-rate application of lime, fertilizers, pesticides, seeds and tillage. The management protocol is based on determining soil variability by georeferenced soil sampling/mapping, determining yield potential by georeferenced yield monitoring, and using agronomic recommendations for variable-rate application of inputs. Technologies available include georeferenced soil sampling, on the go crop sensors, variable rate control systems, and yield monitors.

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