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Title:Automated soybean cyst nematode extraction unit
Author(s):Whitmore Stanley, Allante
Advisor(s):Bhalerao, Kaustubh
Department / Program:Engineering Administration
Discipline:Agricultural & Biological Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Soybean Cyst Nematode (SCN)
Abstract:The soybean cyst nematode (SCN) is a plant parasitic roundworm of soybeans responsible for an estimated $0.7-1.2 billion reduction in annual yield loss. In order to manage yield loss due to SCN, soybean producers employ a nematode management plan which utilize extensive soil sampling to assess SCN population density. Even though the nematode management practices exist, they require greater spatial and temporal resolution in SCN field counts. Currently, SCN extraction from soil samples is time consuming and highly laborious. This thesis produced a design and prototype of an automated extraction unit in order to simplify the soybean cyst and egg extraction process. The proposed automated extraction process will increase the recovery rate while consolidating nematode extraction steps eliminating much of the manual labor in the process. In order to improve extraction efficiency, the design maximized automation use, compacted unit size, used inexpensive materials, and offered the option to scale the unit. Prototyping established the technical feasibility of the unit. The automated unit will provide a more efficient SCN extraction method for monitoring the SCN population.
Issue Date:2014-09-16
Rights Information:Copyright 2014 Allante Whitmore Stanley
Date Available in IDEALS:2014-09-16
Date Deposited:2014-08

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