Equations were derived based on the principles of light reflection to optimize the height and angle parameters of the reflective board in real time and location. The optimized parameters were applied to enhance the light intensity inside the lean-to greenhouses in china. The calculated results were significantly correlated to the actual measurements. Therefore, the equations developed in this study can be used to optimize the design parameters for the reflective board in practice. Additionally, based on the derived calculation equations, the optimized ranges of height and angle parameters were calculated for setting reflective board from autumn to winter and spring at latitude 32-42° in China.
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Cai D. Experiment of application of reflective film to improving light intensity inside greenhouse. China Agricultural Meteorology, 1994, 15(1): 45-41 (in Chinese).
Jia T. Light supplement technique for protected cultivation. West-southern Horticulture, 2000, 28 (4): 50 (in Chinese).
Kong Y, Meng L. Effect of reflective screen on sunlight distribution and morphological characters of tomato inside solar greenhouse. Northern Horticulture, 2004, 5: 10-11 (in Chinese).
Li S, Kurata K, Takakura T. Solar radiation enhancement in a lean-to greenhouse by use of reflection. Journal of Agricultural Engineering Research, 1998, 71: 157-165
Pucar M Dj. Enhancement of ground radiation in greenhouse by reflection of direct sunlight, Renewable Energy, 2002, 26: 561-586
Zhou C J. Advanced Greenhouse Engineering. Chemistry Industry Press, 2003, Beijing (in Chinese).
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Kong, Y., Wang, S., Yao, Y., Ma, C. (2008). Optimization of Position of Reflective Boards for Increasing Light Intensity Inside Chinese Lean-to Greenhouses. In: Li, D. (eds) Computer And Computing Technologies In Agriculture, Volume II. CCTA 2007. The International Federation for Information Processing, vol 259. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77253-0_85
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DOI: https://doi.org/10.1007/978-0-387-77253-0_85
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-77252-3
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