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Machine Vision System for Agricultural Applications

P. Salvador, M. Horton, D. M. Bulanon
Northwest Nazarene University
Nampa, ID, USA

Abstract:

A machine vision system is used for the analysis of images to extract data for controlling a process or activity. The overall goal of this research is the development of a system that acquires images of orchards and analyzes them. Two acquisition systems were used; the first was an RGB camera mounted on an unmanned aerial vehicle (UAV) and the second was an RGB camera mounted on a tripod. An image processing algorithm was developed to perform image mosaicking in order to create single images that display large areas. Another algorithm was also developed to measure the dimensions of trees and estimate their volumes. Future work will involve the development of a computer algorithm to identify nutrient deficiencies and diseases of fruit trees.

 

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This workshop is receiving technical co-sponsorship support from the IEEE Electron Devices Society.

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