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Biosystems Engineering
at Oklahoma State University
Graduate
Programs in Food Processing
M.S. and Ph.D. programs are
available in Food Processing within the School of Biosystems
and Agricultural Engineering. Students engage in a challenging
program of study in several areas including bioprocessing, food
engineering, physical properties of biological materials, machine
vision, sensor and control technology and energy conservation
in food processing.
The program
in Food Processing accommodates students from diverse
backgrounds; hence specific courses and sequence of course work
may be difficult to project. Generally students are required
to develop significant expertise in one field and to complement
that expertise with studies in other areas. Current research
and potential topics are given below.
AREAS OF RESEARCH
Machine Vision
Technological advances in
video and image processing have opened a broad range of machine
vision applications in agriculture. Powerful microcomputers and
specialized hardware have fostered moderately priced, high-performance
systems able to challenge the wide variability in size, shape,
color and texture characteristics of agricultural produce and
products. As a result, machine vision offers the critical potential
to improve the competitive position of agriculture by increasing
product quality while lowering production costs. Areas of research
emphasis include on-line grading of plant seedlings, quality
inspection of food and crop products, defect detection using
spectral reflectance characteristics, and neural networks applied
to pattern recognition and complex decision criteria. Potential
research topics for graduate students include:
- Identify and inventory plants
for nursery/ greenhouse automation.
Develop methods for tissue culture automation.
- Apply neural networks to
product quality inspection.
- Determine the potential for
in-field identification of plant population and weeds.
- Use machine vision microscopy
for biological cell identification applied to process control.
- Determine color and texture
features affecting raw product quality.
- Characterize uniformity of
grain kernels to improve milling.
Food Processing
The more sophisticated design
of modern agricultural process engineering indicates the need
for more basic information of the physical and mechanical properties
of biological materials. Properties data are needed to develop
new sensors and instrumentation for process controls and quality
assessment. Areas of research emphasis include development of
physical properties of food products relevant to food process
engineering and investigate innovative processes for better utilization
of agricultural materials and conversion to value-added food
products. Potential graduate student research topics include:
- Develop dynamic techniques
to measure textural properties related to texture of fruit and
vegetables.
- Develop models of fruit shape
for orientation during on-line sorting.
- Explore ways to insure the
safety of fresh fruit and vegetables during mechanical harvest,
handling and storage.
- Optimize the process for
supercritical fluid extraction of oil from pecans.
Develop techniques to restore texture to reduced-oil pecans.
- Test modified atmosphere
packaging of pecans and peanuts.
- Devise ways to dry and separate
petals from mechanically harvested marigold flowers.
- Investigate ways to store
and handle dried marigold petals to maintain xanthophyll content.
- Develop new processing methods
for value-added peanut products.
Investigate physical and electrical property changes in food
during direct resistance heating.
- Develop techniques for improved
efficiency of xanthan gum fermentation.
Investigate new process development and optimization.
- Develop innovative and improve
existing equipment for food processing.
- Develop insect resistant
or repellent packaging for warehouse storage.
Sensor and Control Technology
A resource-efficient sustainable
agriculture requires development of sensing and actuation systems
that allow the direct use of computer technology in control of
agricultural machines and processes. Computer capabilities are
growing without apparent bounds. Potential exists to leverage
this capability in improving efficiency and quality of agricultural
production and processing systems. The greatest barrier preventing
increased application of computer technology directly in agricultural
systems is the lack of effective methods of sensing. Potential
research topics include:
- Develop design processes
for networked control systems.
- Develop sonic and optical
systems for detection of plant material properties.
DEGREE REQUIREMENTS
All plans of study are tailored to individual students based on their interests and the guidance of the advisory committee. M.S. students must complete 24 credit hours of course work and 6 hours of research, including a thesis. A minimum of 36 credit hours of course work and 24 credit hours of research beyond the M.S. degree is required for each Ph.D. student.
The student's plan of study
will include courses in Biosystems Engineering as well as additional
courses in engineering, mathematics, computer science, statistics,
agriculture and related science. These advanced level courses
taught by Biosystems & Agricultural Engineering and other
faculty and supported by well-equipped laboratories, provide
students with a strong background for addressing problems in
food process engineering .
Students commonly start by
taking three classes per semester. M.S. students generally take
one and a half years to two years to complete their programs.
Ph.D. students with a food & Process engineering M.S.
degree, are expected to complete their programs within three
years with course work usually completed by the end of the second
year. Upon completion of the majority of the courses and preparation
of a research proposal, Ph.D. students take a written and oral
qualifying examination covering the entire area of the student's
graduate study. In addition, M.S. thesis and Ph.D. dissertations
must be successfully defended before the advisory committee at
the completion of the research program. A non-thesis degree option
is available for M.S. students which requires a creative component,
including a written and oral report.
The Food Processing
option in Biosystems Engineering covers a breadth of areas including
agricultural processing, food engineering, machine vision and
sensors and controls. All of these are based on principles of
heat and mass transfer, fluid flow and electrical science. These
principles are usually applied to biological materials, illustrating
the uniqueness of our profession.
FACULTY
The main Biosystems and Agricultural Engineering
Department laboratory is a 28,000 sq. ft. facility, equipped
with electronic, electric and machine shops. Laboratories for
machine vision, instrumentation and food processing are available
for graduate research. Equipment include: a computer-controlled
Instron testing machine, supercritical fluid extraction system,
fruit drop impact tester, vibration shaker, vacuum packager,
controlled temperature-humidity chambers, and various processing
mills. Machine vision support includes video cameras and processing
hardware for both matrix and line-scan formats; development environments
for VME-bus and PC-bus based systems; lighting hardware comprising
fiber optic, high frequency fluorescent, strobe, and laser sources;
color capability; computerized spectrography; and optical reflectance
standards. A computer network system provides information transfer
between the laboratories, offices and other university facilities
such as the library.
The Food and Agricultural
Products Center (FAPC) includes 80,000 sq. ft. of offices, laboratories
and pilot plant area. Completed in 1997, this facility was built
to allow process development from the bench-top to pilot scale.
It is designed for interaction with the food industry and is
the home of multidisciplinary teams oriented to solve food and
agriculture processing problems. Pilot plant facilities are available
for processing of meat, dairy, fruit, vegetable, and cereal products.
Research laboratories available for use are for; physical properties,
engineering & electronics, instrumental analysis, experimental
kitchen, and sensory analysis.
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