FVSUag Directory


Archie L. Williams, PhD

Chair of the Department of Engineering Technology, Professor and Agricultural Researcher

(478) 825-6264

(478) 827-3062


Academic Program: Agricultural Engineering Technology

Research Area: Bioenergy and Climate Change

Research Interests:
  • Agricultural sensors
  • Artificial intelligence
  • Mentoring
  • Computer applications
  • Instrumentation
  • Neural networks
  • Renewable energy
  • Biofuels

Doctor of Philosophy: Agricultural and Biological Engineering - The Pennsylvania State University, University Park, PA (2006)

Master of Science: Agricultural and Biological Engineering - The Pennsylvania State University, University Park, PA (1999)

Bachelor of Science: Electronic Engineering Technology - Fort Valley State University (1992)

Recent Publications/Presentations:

Williams, A. L., C. Ogden and Erika Williams. 2019.  Assessment of Small Unmanned Aerial Vehicle Technologies (DJI Phantom 3 Professional) for Agricultural Applications at Fort Valley State University. Poster Presentation: APLU 2019 HBCU Engineering Workshop.

Mahapatra, A.K., D.E. Ekefre, N. Pattanaik, U. Jena, A.L. Williams and M. Latimore Jr.  2017.  Thermal properties of sweet sorghum bagasse as a function of moisture content.  Agricultural Engineering International: CIGR Journal, 19(4); 108-113.

Ekefre, D.E., A.K. Mahapatra, M. Latimore Jr., D.D. Bellmer, U. Jena, G.J. Whitehead, and A.L. Williams.  2017.  Evaluation of three cultivars of sweet sorghum as feedstocks for ethanol production in the Southeast United States.  Heliyon. 3.

Williams, A.L., P.H. Heinemann, C.J. Wysocki, D.M. Beyer, and R.E. Graves. 2010. Prediction of odor pleasantness using electronic nose technology and artificial neural networks. Applied Engineering in Agriculture. 26(2):343-350.

Williams, A. L.  2006.  Prediction of Odor Pleasantness Using Electronic Nose Technology and Artificial Neural Networks.  PhD. diss.  University Park, Penn.:  The Pennsylvania State University, Department of Agricultural and Biological Engineering.

Williams, A. L., P. H. Heinemann, R. E. Graves, E. F. Wheeler, D. M. Beyer, C. J. Wysocki, and W. B. Roush.  2003.  Classification of Mushroom Substrate Odors Using a Portable Electronic Nose and Neural Networks.  ASAE Meeting Paper No. 034104.  St. Joseph, Michigan.: ASAE.