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Akash Nakarmi
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PhD, Summer 2013

Home Dept: Ag and Biosystems Engineering

PhD Dissertation title: Automated inter-plant spacing sensing of corn plant seedlings and quantification of laying hen behaviors using 3D computer vision

PhD Advisor: Lie Tang and Xin Hongwei

Area of PhD research: An automated system is developed using a state-of-the-art 3D vision sensor that accurately measures within-row corn plant spacing. The system is capable of processing about 1200 images captured from a 61 m crop row containing approximately 280 corn plants in about three and half minutes. A novel method for automatic quantification of stocking density effect on some natural laying hen behaviors such as locomotion, perching, feeding, drinking and nesting is explored. Image processing techniques are employed on top view images captured with a state-of-the-art time-of-flight (TOF) of light based 3D vision camera for identification as well as tracking of individual hens housed in a 1.2 m 1.2 m pen. A Radio Frequency Identification (RFID) sensor grid consisting of 20 antennas installed underneath the pen floor is used as a recovery system in situations where the imaging system fails to maintain identities of the hens.

Employment upon graduating:

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