Capturing Bugs and Measuring Nitrogen with Arduino and RaspberryPi

Professor James Hardin's (JCSET) research interests lie at the "intersection of sensors and engineering design." (Personal website) In pursuit of those interests, James is working on a couple projects integrating his research interests with biology and the natural environment.

One project (left) is a simple nitrogen sensor. Using an optical contact sensor and some Arduino hardware, James and an undergraduate student created a nitrogen sensor for measuring nitrogen within a leaf. Merely lay the leaf atop the sensor (the small, white cylinder), and the microcomputer will measure and report the nitrogen bound within the leaf.

The second project is far more complicated. A field biologist needs to conduct an insect inventory of a test site. Perhaps the field biologist is looking for a collection of diagnostic insects, or perhaps, is looking for a certain insect.

Today, a field biologist would have to spend days upon days in the field, setting traps, shaking bushes, etc., and hope to collect some good samples.

What if ... what if the biologist could set a number of automated traps? These traps would collect an insect, trap the insect long enough to snap a pic, and release the insect back into the wild. The insect snapshot would be processed digitally, a form of facial recognition image processing technique applied, and the insect species would be identified and the pic classified. The pic and info would be transmitted via MMS/SMS to the biologist comfortably sitting in a field office or lab.

Dr. Hardin is working on a prototype of this insect trap. As shown (left), the white PVC Y-joint serves as the basis for mounting trap components. A RaspberryPi controller operates the mechanism for trapping the insect long enough to capture an image. Attached to the trap is an Android phone (right), the brains of the device.

The phone captures the image, processes and classifies the image, and provides a means to geolocate the insect. Once processed, the data is sent via MMS/SMS to the biologist, wherever that person might be stationed.

Dr. Hardin research demonstrates the utility in drawing the disciplines of engineering, biology, and geography together in the analysis of the a biological problem. His device captures an insect, performs non-invasive testing and initial interpretation, the results of which are transmitted back to a researcher who can integrate the data into a geographic database for spatial analysis.

Dr. James Hardin can be reached at jhardin@murraystate.edu (MSU/JCSET).