An Introduction to Computational Sensor Psychrometrics for the Digitization of Convective Cobed Maize Drying

REFERENCES

• Erbay, Z.; Icier, F. A review of thin layer drying of foods: Theory, modeling, and experimental results. Critical Reviews in Food Science and Nutrition 2010, 50(5), 441–464.
   PubMed Web of Science ®Google Scholar
• Chen, G.; Maier, D.E.; Campanella, O.H.; Takhar, P.S. Modeling of moisture diffusivities for components of yellow-dent corn kernels. Journal of Cereal Science 2009, 50(1), 82–90.
   Web of Science ®Google Scholar
• Jayas, D.S.; Cenkowski, S.; Pabis, S.; Muir, W.E. Review of thin-layer drying and wetting equations. Drying Technology 1991, 9(3), 551–588.
   Web of Science ®Google Scholar
• Komen, J.; Mutoko, C.; Wanyama, J.; Rono, S.; Mose, L. Economics of post-harvest Maize grain losses in Trans Nzoia and Uasin Gishu districts of Northwest Kenya. In The 12th KARI Biennial Scientific Conference; Wasilwa, L.A.; Ouda, J.; Kariuki, I.W.; Mangale, N.S.; Lukuyu, M.N. Eds.; Kenya Agricultural Research Institute: Nairobi, Kenya, 2010; 1228–1233.
   Google Scholar
• Magan, N.; Medina, A.; Aldred, D. Possible climate-change effects on mycotoxin contamination of food crops pre- and postharvest. Plant Pathology 2011, 60(1), 150–163.
   Web of Science ®Google Scholar
• Wagacha, J.M.; Muthomi, J.W. Mycotoxin problem in Africa: Current status, implications to food safety and health and possible management strategies. International Journal of Food Microbiology 2008, 124(1), 1–12.
   PubMed Web of Science ®Google Scholar
• Dayal, A.; Rangare, N.; Kumar, A.; Kumari, M. Effect of physiological maturity on seed quality of maize (Zea mays L.). Forage Research 2014, 40(1), 1–6.
   Google Scholar
• Kaaya, A.N.; Warren, H.L.; Kyamanywa, S.; Kyamuhangire, W. The effect of delayed harvest on moisture content, insect damage, molds and aflatoxin contamination of maize in Mayuge district of Uganda. Journal of the Science of Food and Agriculture 2005, 85(15), 2595–2599.
   Web of Science ®Google Scholar
• Chuan-udom, S. Operating factors of Thai threshers affecting corn shelling losses. Songklanakarin Journal of Science and Technology 2013, 35(1), 63–67.
   Google Scholar
• Hossain, M.; Bala, B.K.; Satter, M.A. Simulation of natural air drying of maize in cribs. Simulation Modelling Practice and Theory 2003, 11(7–8), 571–583.
   Web of Science ®Google Scholar
• Borgemeister, C.; Adda, C.; Sétamou, M.; Hell, K.; Djomamou, B.; Markham, R.H.; Cardwell, K.F. Timing of harvest in maize: Effects on post harvest losses due to insects and fungi in central Benin, with particular reference to Prostephanus truncatus (Horn) (Coleoptera: Bostrichidae). Agriculture, Ecosystems and Environment 1998, 69(3), 233–242.
   Web of Science ®Google Scholar
• Bruns, H.A.; Abbas, H.K. Effects of harvest date on maize in the humid sub-tropical Mid-South USA. Maydica 2004, 49(1), 1–7.
   Web of Science ®Google Scholar
• Bryden, W.L. Mycotoxins: Natural food chain contaminants and human health. In Encyclopedia of Environmental Health; Nriagu, J.O., Ed.; Elsevier: Burlington, MA, 2011; 898–905.
   Google Scholar
• Marks, B.P.; Maier, D.E.; Bakker-Arkema, F.W. Optimization of a new in-bin counterflow corn drying system. Transactions of the ASABE 1993, 36(2), 529–534.
   Google Scholar
• Islam, M.T.; Marks, B.P.; Bakker-Arkema, F.W. Optimization of commercial ear-corn dryers. Agricultural Engineering International: CIGR Journal 2004, 6, 1–16.
   Google Scholar
• Gunasekaran, S. Optimal energy management in grain drying. Critical Reviews in Food Science and Nutrition 1986, 25(1), 1–48.
   PubMed Web of Science ®Google Scholar
• Mujumdar, A.S.; Zhonghua, W. Thermal drying technologies—Cost-effective innovation aided by mathematical modeling approach. Drying Technology 2007, 26(1), 145–153.
   Web of Science ®Google Scholar
• Stenström, S.; Weineisen, H. Modeling drying and energy performance of industrial through-dryers. Drying Technology 2008, 26(6), 776–785.
   Web of Science ®Google Scholar
• Guantai, S.M.; Seward, P. Kenya Maize Handbook—2010, 2nd ed.; Guantai, S.M.; Oggema, S.W. Eds.; ACDI/VOCA-Kenya, Kenya Maize Development Programme: Nairobi, Kenya, 2010; 5–8.
   Google Scholar
• Rahman, S.M.A.; Islam, M.R.; Mujumdar, A.S. A study of coupled heat and mass transfer in composite food products during convective drying. Drying Technology 2007, 25(7–8), 1359–1368.
   Web of Science ®Google Scholar
• Shijun, W.; Xuejun, S. Study on effects of drying conditions on thin-layer drying of maize. In 2011 International Conference on New Technology of Agricultural Engineering (ICAE 2011); Zibo, China, May 27–29, 2011.
   Google Scholar
• Sun, Y.; Pantelides, C.C.; Chalabi, Z.S. Mathematical modelling and simulation of near-ambient grain drying. Computers and Electronics in Agriculture 1995, 13(3), 243–271.
   Web of Science ®Google Scholar
• Sun, D.-W.; Woods, J.L. Simulation of the heat and moisture transfer process during drying in deep grain beds. Drying Technology 1997, 15(10), 2479–2492.
   Web of Science ®Google Scholar
• Sitompul, J.P.; Istadi; Widiasa, I.N. Modeling and simulation of deep-bed grain dryers. Drying Technology 2001, 19(2), 269–280.
   Web of Science ®Google Scholar
• Sharaf-Eldeen, Y.I. Mathematical simulation of drying fully exposed ear and shelled corn. Electronic Thesis, Ohio State University, 1979.
   Google Scholar
• Muchilwa, I.E.; Hensel, O.; Matofari, J.W. Evaluating the water activity simulation consistency of empirical models for shelled and cobed maize drying. International Journal of AgriScience 2014, 4(3), 177–188.
   Google Scholar
• Samapundo, S.; Devlieghere, F.; De Meulenaer, B.; Atukwase, A.; Lamboni, Y.; Debevere, J.M. Sorption isotherms and isosteric heats of sorption of whole yellow dent corn. Journal of Food Engineering 2007, 79(1), 168–175.
   Web of Science ®Google Scholar
• Soleimani, M.; Tabil, L.; Shahedi, M.; Emami, S.; Alberta, E. Sorption isotherm of hybrid seed corn. In CSBE/SCGAB 2006 Annual Conference; Edmonton, Alberta, Canada, July 16–19, 2006.
   Google Scholar
• Sun, D.-W. Selection of EMC/ERH isotherm equations for shelled corn based on curve fitting available data. Drying Technology 1998, 16(3–5), 779–797.
   Web of Science ®Google Scholar
• Corrêa, P.C.; Botelho, F.M.; Oliveira, G.H.H.; Goneli, A.L.D.; Resende, O.; Campos, S.D.C. Mathematical modeling of the drying process of corn ears. Acta Scientiarum Agronomy 2011, 33(4), 575–581.
   Web of Science ®Google Scholar
• Friant, N.R.; Marks, B.P.; Bakker-Arkema, F.W. Drying rate of ear corn. Transactions of the ASAE 2004, 47(5), 1605–1610.
   Google Scholar
• Kumar, C.; Millar, G.J.; Karim, M.A. Effective diffusivity and evaporative cooling in convective drying of food material. Drying Technology 2015, 33(2), 227–237.
   Web of Science ®Google Scholar
• Courtois, F. Dynamic modelling of drying to improve corn wet-milling quality. Drying Technology 1993, 11(3), 671–673.
   Web of Science ®Google Scholar
• Cleveland, W.S. Robust locally weighted regression and smoothing scatterplots. Journal of the American Statistical Association 1979, 74(368), 829–836.
   Web of Science ®Google Scholar
• Roberts, G.P.; Barnes, H.A.; Mackie, C. Using the Microsoft Excel “Solver” tool to perform non-linear curve fitting, using a range of non-Newtonian flow curves. Applied Rheology 2001, 11(2), 271–276.
   Google Scholar
• Walsh, S.; Diamond, D. Non-linear curve fitting using Microsoft Excel solver. Talanta 1995, 42(4), 561–572.
   PubMed Web of Science ®Google Scholar
• Denton, P. Analysis of first-order kinetics using Microsoft Excel Solver. Journal of Chemical Education 2000, 77(11), 1524.
   Web of Science ®Google Scholar
• Density, Specific Gravity, and Mass–Moisture Relationships of Grain for Storage; ANSI/ASAE D241.4; American Society of Agricultural and Biological Engineers: St. Joseph, MI, 1999.
   Google Scholar
• Midilli, A.; Kucuk, H.; Yapar, Z. A new model for single-layer drying. Drying Technology 2002, 20(7), 1503–1513.
   Web of Science ®Google Scholar
• Sharaf-Eldeen, Y.I.; Hamdy, M.Y.; Blaisdell, J.L. Falling Rate Drying of Fully Exposed Biological Materials. A Review of Mathematical Models; American Society of Agricultural and Biological Engineers: St. Joseph, MI, 1979.
   Google Scholar