automation

Congratulations Farhan!

Farhan Syed successfully defended his thesis entitled, "Development of an Automated System for Extraction and Quantification of Soybean Cyst Nematode (SCN) Eggs and Cysts" and will graduate with a Master of Science in Technical Systems Management from the Department of Agricultural and Biological Engineering. 

This project is closely related to the soybean cyst nematode extractor we are currently testing. The abstract for his thesis follows. 

The Soybean Cyst Nematode Extractor

After a couple years of tinkering, we finally have a working prototype of the Soybean Cyst Nematode Egg Extraction System, or our SCNExtractor for short. The following video shows the operation cycle of the SCNExtractor. We built this prototype as a two-channel system. The entire cycle consists of approximately four minutes, from sample loading to egg retrieval. Once the eggs are retreived from the sample collection funnels, they are stained and imaged. Computer vision then enables automatic egg counting.