Editor/Book Chapters
Panigrahi, S. 2018. Sustainable solution with Appropriate Technological Development and Innovation (SWADIN) workshop proceeding: Multidimensional Technological Innovations for Water-linked Health & Wellness. Purdue Press. In Press.
Panigrahi, S. and K. C. Ting. (Editors) 1998. Artificial Intelligence for Biology and Agriculture. Artificial Intelligence Review: An International Survey and Tutorial Journal. Vol.12. Nos. 1-3. February. 262 pages. Kluwer Academic Publisher. MA. ISSN NO. 0269-2821.
Panigrahi, S. and S. Gunasekaran. 2000. Optical Imaging and Sensing Techniques for Nondestructive Sensing of Food Products. In : Nondestructive Food Evaluation: Techniques to Analyze Properties and Quality. Marcel Dekker Inc. NY.
Gunasekaran, S . and S. Panigrahi. 2000. Fluorescence Techniques for quality evaluation of Food Products. In Nondestructive Food Evaluation: Techniques to Analyze Properties and Quality. Marcel Dekker Inc. NY.
Schmoldt, D. and S. Panigrahi. 2008. “Biological Sensorics”: A special issue of the peer-reviewed journal “Biological Engineering”. Vol. 1, No. 2. May. (This special issue contained selected peer-reviewed papers that were presented at the International Biological Sensorics Conference that was held in 2007 at Minneapolis. I conceived the idea and was the lead co-organizer of the conference.)
Patents
Panigrahi, S and Q. Zhang. 2005. Optical Analyzer for grain. US Patent 6,845,326 B1 January 2005 (Conceived the idea, directed the research. I get 90% of the inventorship).
Panigrahi, S and Hofman, V. 2003. On-the-go sugar sensor for determining sugar content of sugar beets during harvesting- Part- 1 (hardware) US Patent No. 6,624,888 B2 issued Sept. 2003. (Conceived the idea; directed research. Most of the work and systems development was my contribution)
Panigrahi, S and Hofman, V. 2005. On-the-go sugar sensor for determining sugar content of sugar beets during harvesting - Part- II (Software) US Patent 6,851,662 B1 February 2005. (Conceived the idea; directed research. All most all the work on the software and algorithm development were my contribution).
Refereed Publications - Selected
Borhan, M., S. Panigrahi, M. A. Sattar and H. Gu. 2017. Evaluation of computer imaging techniques for predicting SPAD reading in potato leaves. Information Processing in Agriculture. 4(4): 275-282.
Mohapatra, P., S. Panigrahi* and J. Amamcharla. 2015. Evaluation of a commercial electronic nose system coupled with universal gas sensing chamber for sensing indicator compounds associated with meat safety. J. Food Measurement and Characterization. 9(2): 121-129.
Mohapatra, P. and S. Panigrahi*. 2012. Evaluation of surface enhanced Raman spectroscopy for detection of Acetone in the context of food safety and quality application. Journal of Food Research. 1(1):3-12.
Sankaran, S, L. Khot and S. Panigrahi. 2012.Biology and applications of olfactory sensing systems. A review. Sensors and Actuators B, 171-172. 1- 17.
Panigrahi, S*., S. Sankaran, S. Mallik, B. Gaddam and A. Hanson. 2012. Olfactory receptor-based polypeptide sensor for acetic acid VOC detection. In: Materials Science and Engineering C. 32: 1307-1313.
Khot, L.,S. Panigrahi*, C. Doetkott, Y. Chang, J. Glower, J. Amamcharla, C. Logue and J. Sherwood. 2012. Evaluation of technique to overcome small dataset problems during neural-network based contamination classification of packaged beef using integrated olfactory sensor system. LWT – Food Science and Technology. Vol. 45. 233-240.
Balasubramanian, S, J. K. Amamcharla, S. Panigrahi, C. M. Logue. , M. Marchello, and J. Sherwood. 2012. Investigation of different gas-sensor-based artificial olfactory systems for screening Salmonella typhimurium contamination in beef. Food and Bioprocess Technology. 5(4): 1206-1219.
Sankaran, S and S. Panigrahi*. 2012. Investigation on ZnO-Fe2O3 based nanocomposite sensors for butanol detection related to food contamination. Journal of Nanoscience and Nanotechnology. 12: 2346-2352.
Sankaran, S, and S. Panigrahi*. 2011. Nanoparticulate zinc oxide chemoresistive sensor for volatile acetic acid detection. Journal of Nanosciene Nanotechnology Letters. 3, 755-762.
Gautam, R. S. Panigrahi., D. Franzen, and A. Sims. 2011. Residual soil nitrate prediction from imagery and non-imagery information using neural network technique. Biosystems Engineering. 110. 210-226.
Khot, L., S. Panigrahi*. D. Lin. 2011. Development and evaluation of piezoelectric polymer thin film sensors for low concentration detection of volatile organic compounds related to food safety applications. Sensors and Actuator B: Chemical. 153:1-10.
Sankaran, S., S. Panigrahi, S. Mallik. 2011. Odor binding protein-based biomimetic sensor for detection of alcohols associated with Salmonella contamination in packaged beef. Biosensors and Bioelectronics. 26(2011)3103-3109.
Sankaran, S., S. Panigrahi, S. Mallik. 2011. Olfactory receptor-based piezo electric biosensors for detection of alcohols related to food safety applications. Sensors and Actuator B: Chemical. 155(1): 8-18.
Amamcharla, J., S. Panigrahi. 2010. Application of vapor-phase Fourier transform infrared spectroscopy (FT-IR) and statistical feature selection methods for indentifying S. Typhimurium contamination in beef. Biosystems Engineering. 107(1):1-9.
Amamcharla, J., S. Panigrahi, C. Logue, M. Marchello, and J. Sherwood. 2010. Fourier Transform Infrared Spectroscopy (FTIR) as a tool for discriminating Salmonella typhimurium contaminated beef. Sensing and Instrumentation for Food Quality and Safety. Vol. 4: 10-12. (Conceived the original idea, directed research work)
Bhattacharjee, P., S. Panigrahi, D. Lin, C. Logue, J. Sherwood, M. Marchello. 2010. A comparative qualitative study of the profile of volatile organic compounds associated with Salmonella contamination of packaged aged and fresh beef by HS-SPME/GC-MS. Journal of Food Science and Technology. 1(11):11-13.
Bhattacharjee, P., S. Panigrahi, D. Lin, C. M. Logue, J. S. Sherwood, C. Doetkott, and M. Marchello. 2010. Study of headspace gases associated with Salmonella contamination of sterile beef in vials using HS-SPME/GC-MS. Transaction of the ASABE. 53(1): 173-182.
Amamcharla, J. and S. Panigrahi. 2010. Simultaneous prediction of acetic acid/ethanol concentrations in their binary mixtures using metalloporphyrin based opto-electronic nose for meat safety applications. Sensing and Instrumentation for Food Quality and Safety. 4: 51-60.
Khot, L., S. Panigrahi, and P. Sengupta. 2010. Development and evaluation of chemoresistive polymer sensors for low concentration detection of volatile organic compounds related to food safety applications. Sensing and Instrumentation for Food Quality and Safety. Vol. 4 (1): 20 - 34.
Balasubramanian, S., S. Panigrahi, C. Logue, H. Gu, and M. Marchello.2009. Neural networks-integrated metal oxide-based artificial olfactory system for meat spoilage identification. Journal of Food Engineering. 91:91-98.
Khot, L., S. Panigrahi, and S. Woznica. 2008. Neural-network-based classification of meat: Evaluation of techniques to overcome small dataset. Biological Engineering. 1(2): 127-143.
Balasubramanian, S., and S. Panigrahi, C. Logue, C. Doetkott, and M. Marchello. 2008. Independent component analysis-processed electronic nose data for predicting Salmonella typhirium population in contaminated beef. Food Control. 19. 236-240.
Halley, S., G. Van Ee, V. Hofman, S. Panigrahi, and H. Gu. 2008. Fungicide deposition measurement by spray volume, drop size and sprayer system in cereal grains. Applied Engineering in Agriculture. 24(1): 15-21.
Gautam, R, and S. Panigrahi. 2007. Leaf nitrogen determination of corn plant using aerial images and artificial neural networks. 49. Canadian J. of Biosystems Engineering.
S. Balasubramanian, S. Panigrahi, B. Kottapalli, and C. Wolf-Hall. 2007. Evaluation of an artificial olfactory system for grain quality discrimination. LWT Food Science and Technology. 40. 1815-1825.
Gautam, R. S. Panigrahi, and D. Franzen. 2006. Neural network optimization of remotely sensed maize leaf nitrogen with a genetic algorithm and linear programming using five performance parameters. Biosystems Engineering, 95(3): 359-370.
S. Panigrahi, S. Balasubramanian, H. Gu, C. Logue, and M. Marchello. 2006. Design and Development of a metal oxide based electronic nose for spoilage classification of beef. Sensors and Actuators- B. 119. 2-14.
S. Panigrahi, S. Balasubramanian, H. Gu , C. Logue, and M. Marchello. 2006. Neural network integrated electronic nose system for spoilage identification of beef. Food Science and Technology/LWT. 39; 135-145.
D.C. Doehlert, M.S. McMullen, J.L. Jannink, S. Panigrahi, H. Gu, and N. R. Riveland. 2005. Bimodal Model for Oat Kernel Size Distributions. Canadian Journal of Plant Science. 85: 317-326.
Balasubramanian, S. S. Panigrahi, C. M. Logue, M. Marchello, and J.S. Sherwood. 2005. Identification of Salmonella inoculated beef using a portable electronic nose system. Journal of Rapid Methods and Automation in Microbiology. 13:71-95.
Balasubramanian, S., S.Panigrahi, C.Logue, M. Marchello, C. Doetkott, H. Gu, J. Sherwood, and L. Nolan. 2004. Spoilage identification of beef using an electronic system. Transactions of the ASAE. 47(5):1625-1633.
Borhan, M.S, S. Panigrahi, J. H. Lorenzen, and H. Gu. 2004. Multispectral and color imaging techniques for nitrate and chlorophyll determination of potato leaves in a controlled environment. Transactions of the ASAE. 47(2):599-608.
Hong, Y, and S. Panigrahi. 2004. Image Processing techniques for processing of French fries. Applied Engineering in Agriculture 20(6): 803-811.
Doehlert, D.C., McMullen, M.S., Jannink, J-L., Panigrahi, S., Gu, H., and Riveland, N. 2004.Evaluation of oat kernel size uniformity. Crop Science 44:1178-1186.
Doehlert, D.C., McMullen, M.S., Jannink, J-L., Panigrahi, S., Gu, H., and Riveland, N. 2004. Influence of oat kernel size and size distributions of test weight. Cereal Research Communications. Vol. 32 (1):135-142.
Gautam, R, and S. Panigrahi. 2003. Image processing techniques and neural network models for predicting plant nitrate using aerial images. Proceedings of the 2003 IEEE International Joint Conference on Neural Networks. Portland. Oregon. July 20-24. 2003.(Referred)
Chtioui, Y, S. Panigrahi, and L. Backer. 2003. Self-organizing map combined with a fuzzy clustering for color image segmentation of edible beans. Transactions of the ASAE. 46(3):831-838.
Borhan, M.S., S. Panigrahi, J. Lorenzen, and H. Gu. 2003. Evaluation of Multi-spectral Imaging Techniques to predict Chlorophyll and Nitrogen status of potato leaves in the field. Journal of South Pacific Agriculture. Vol.8(1): 31-36.
Zhang, Q, S. Panigrahi, S. Panda, and M. Borhan. 2002. Techniques for yield prediction for corn aerial images-A neural network approach. Journal of Agricultural and Biosystems Engineering. Vol. 3(1): 18-28.
Software/Computer Programs
Lund, S., S. Panigrahi, L. Schaper, D. Wiesenborn, and P. Orr. 1999. FrybleMax: A prototype expert system. A computer software.
Chtioui, Y, S. Panigrahi, and L. Francl. 1999. Neuro-regress. An interactive computer software for selected parametric and non-parametric (including neural networks) for chemometrics and prediction.
Chtioui, Y, and S. Panigrahi. 1999. Neuro-recognition. An interactive computer software for selected neural networks for classification and prediction.
Popular Press Release/News Articles Based on My Research
Sniffing out pathogens. Food Technology. March 2008. p.66-68. Interviewed by Neil H. Mermeistein.
Computer Imaging Gives New Look At Spray Pattern, 1998. Interview by Tom Jirik. Agricultural Communication for News For North Dakotans.
Photonics Spectra. 1995. French Fried Photonics Interview by Stephanie A. Weiss. Photonics Spectra News Editor. January 29. (Photonics Spectra is an International magazine covering advancements of optics, lasers, fiber optics, electro-optics, imaging and optical computing with more than 92,000 distributions all over the world).
AURI Ag Innovations. July, 1994. Mechanized Harvest Could Boost Minnesota Broccoli. AURI. Minnesota.
Computer Role Increasing In Many Farm Decisions. 1993. Interview by M. Wheeler. The Forum. February 4. Fargo. (The Forum is the local daily newspaper
Workshops/Training Conducted (Presenter/Co-presenter)
Panigrahi, S. 2018. A Systems-based approach for designing field scale environemntal monitoring system: specific focus on heavy metal contamination in water. A workshop presented at the Purdue UNSA Arequipa Nexus Institute Workshop. August 2018. Purdue Univeristy, West Lafayette, IN.
Panigrahi, S., and P. Das. 2002. Fundamentals of database and data mining techniques for agricultural applications. 1 One-day continuing Professional Development Session #9. International ASAE Annual conference at Chicago, July 28, 2002.
Marsh, R., and S. Panigrahi. 1997. Overview of parallel virtual machine (PVM) and its use for efficient image processing of beans. NDSU. Fargo. Presented at the Continuing Professional Development Series Parallel Processing and its Application for Image Processing-CPD#4". International ASAE Annual Conference. August 10, Minneapolis, MN.
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Proceedings - Selected
Panigrahi, S. 2016. A systems-based approach and analysis for water-linked health and wellness in low resource setting. In: SWADIN workshop proceeding: Multidimensional Technological Innovations for Water-linked Health & Wellness workshop held in India, March 2013. Purdue Press.
Panigrahi, S. 2012. Analysis and overview of techniques to incorporate innovation in undergraduate curriculum in electrical engineering technology. Proceeding of the ASEE IL-IN section conference, Valparaiso University. March 2012.
Panigrahi, S and K. Burbank. 2012. A strategic analysis of graduate programs in Engineering Technology. ASEE Annual conference proceedings. San Anatonio. TX. June 2012.
Panigrahi,S., Y. Chang, L. Khot, J. Glower, and C. Logue.2008. Integarted electronic nose system for detection of Salmonella contamination in meat. SAS 2008. IEEE Sensors Applications Symposium. Atlanta. Feb. 12-14, 2008. (refered).
Panigrahi, S. 2006. Teaching and Student Learning in Graduate Education: A Compartive Analysis. Proceedings of the ASEE, North Midwest Sectional Conference. October 6-7. University of Wisconsin-Stout. WI..
Panigrahi, S., X. Yan, R. Gautam, and D. Franzen. 2003. Automated Color Assessment and Classification of Remotely Sensed Images of Crops. Proceedings of the 30th International Symposium on Remote Sensing of Environment: Information for Risk management and sustainable Development. November 10-14. Honolulu. Hawaii.
Gautam.,R., S. Panigrahi, and D. Franzen. 2003. Comparative Analysis of Different Techniques for Predicting Soil Nitrate Using Remote Sensing Images. Proceedings of the 30th International Symposium on Remote Sensing of Environment: Information for Risk management and sustainable Development. November 10-14. Honolulu, Hawaii.
Invited Presentations
Panigrahi, S. 2015. Challenges and opportunities: sensors and intelligent systems for food supply chain. Sustainable Food Supply Chain Workshop, Princeton University, March 16.-17.
Panigrahi, S. 2013. Nanotechnology in food and agriculture. Iowa Farm Bureau Economic Summit. Ames, IA, July 22-23.
Panigrahi, S. 2008. Potential and applications of advanced imaging and sensing techniques for cereal grain process. International American Cereal Chemists Annual Meeting. Honolulu. HI. September 21-24.
Panigrahi, S. 2006. Opportunities for engineers. EMBS (Engineering in Medicine and Biology Society) of IEEE Student Branch club. NDSU. Fargo. November.
Panigrahi, S. 2005. Emerging technologies for agri-bio applications. Invited departmental seminar talk at the department of Animal and Range Sciences, NDSU. February.
Panigrahi. S. 2002. Emerging technologies for bioscience research and development at universities. Invited talk at the department of Physics, University of North Dakota, Grand Forks, ND. December 13. 2002.
Panigrahi, S. 1998. Experiences on using portable spectrometers for real-time measurements of agricultural products. Invited technical oral presentation during the 37th Annual Eastern Analytical Symposium and Exposition. Garden State Convention Center. Somerset. NJ. November 15-20.
Panigrahi, S. 1997. Computer vision research: Potential and accomplishment. Industrial Engineering Graduate Seminar. NDSU. Fall, 1997.
Panigrahi, S. 1997. Non-destructive sensing techniques for fatty acid profiles of confection sunflower. Sunflower research group meeting of NDSU/USDA/local sunflower processors. USDA building. Fall, 1997.
Panigrahi, S (Panel member). 1993. 12th Annual Winter conference on Sustainable Agriculture Sponsored by Northern Plains Sustainable Agriculture Society. January 31, 1993. Jamestown, ND.
