Tree Detection in OpenCV

The Robotics Vision team has recently been in collaboration with Matthew Sichenze, a computer science major at Northwest Nazarene University, Nampa, ID. Matthew is developing an algorithm for detecting and counting trees in images to be used in conjunction with our aerial crop monitoring system. The algorithm uses OpenCV, which is an open-source toolbox for computer vision. At […]

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15
Apr 2014
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Development of a Crop Monitoring and Assessment Platform

The art of farming has been all but lost in today’s world of mass-production. Instead of individual crops being given exact amounts of water, nutrients, and pesticides, entire fields are treated uniformly. Even distribution of water and nutrients means that some crops may receive too much while others may be malnourished. The broadcasting of fertilizers […]

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03
Apr 2014
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Tree Canopy Identification (2-D)

A MATLAB algorithm has been developed that  identifies and outlines the canopies of the primary trees in the two-dimensional, side-view images that we obtained from an orchard. The basic algorithm outline is shown below. Images of seven different trees were tested, each having the same side-view perspective. Below are each of the images overlaid with […]

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27
Apr 2013
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What is Robotics Vision at NNU?

The Robotics Vision research group at the Department of Physics and Engineering of Northwest Nazarene University, conducts research on machine vision technologies applicable to automation, robotics, and other areas like agriculture.

At present, the team is working on developing a remote sensing system that monitors agricultural field. The system is composed of an unmanned aerial vehicle (UAV) mounted with a multispectral camera that acquires an image of the field from a bird’s eye view.

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06
Mar 2013
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