Crop Monitoring Platform: A Case of Teaching Machine Vision through Undergraduate Research | Zendy

Duke M. Bula | Zendy; S. Parke | Zendy

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Crop Monitoring Platform: A Case of Teaching Machine Vision through Undergraduate Research

Author(s) -

Duke M. Bula,

S. Parke

Publication year - 2020

Publication title -

papers on engineering education repository (american society for engineering education)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.18260/1-2--19365

Subject(s) - treasure , machine vision , computer science , tree (set theory) , canopy , agricultural engineering , engineering management , artificial intelligence , engineering , geography , mathematics , archaeology , mathematical analysis

Northwest Nazarene University, which is located in the Treasure Valley of Idaho, is developing a crop monitoring platform (CMP). The CMP, which uses a machine vision system, estimates fruit tree parameters such as tree canopy volume and canopy reflectance characteristics. This research project, conducted by undergraduate engineering students, is integrated with the teaching of machine vision in a Control Systems course. This paper presents a case for teaching machine vision through undergraduate research.

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