Drip Irrigation Schedule of Greenhouse Green Pepper Based on Genetic Algorithm

Abstract:

By drip irrigation experiment of Barrel-planted peppers in a greenhouse during autumn and winter adopting Jensen Model, the water sensitivity index and water production function of green pepper at different stages is obtained through multiple linear regression method based on test datum, and the obtained model is verified by using the measured data. Further, compiling optimization program by C#.net language, drip irrigation schedule of green pepper is optimized by the genetic algorithm with the goal of maximizing the relative production. Results show that drip irrigation water of green pepper dring its whole growth period in a greenhouse in both autumn and winter is 285 mm with the highest water production efficiency. The accuracy of the results was verified by experimental data, too.

• Periodical: Advanced Materials Research (Volumes 1010-1012)
• Pages: 670-680
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1010-1012.670
• Online since: August 2014
• Authors: Jian Sun, Tie Liang Wang, Bo Li, Xiao Ting Song
• Keywords: Genetic Algorithm (GA), Multiple Linear Regression Method, Optimization of Irrigation Schedule, Water Production Function

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