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Fuzzy Evaluation of Different Irrigation and Fertilization on Growth of Greenhouse Tomato

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Fuzzy Information and Engineering

Part of the book series: Advances in Soft Computing ((AINSC,volume 40))

Abstract

Based on experiment of plastic mulching and drip irrigation in greenhouse, nine treatments of different irrigation and fertilization were evaluated with multi-factor fuzzy synthesis evaluation method. Linear function was selected as membership function in fuzzy synthesis evaluation model. The weighting of factors set which included the yield, fruit qualities, water use efficiency and fertilizer utilization efficiency was confirmed by principal component analysis method. The evaluation result showed that the optimum treatment of integral indicators that fertilizer amount was pure N 337.5 kg·ha − 1 and pure K 2 O 337.5 kg·ha − 1, lower and high limit of irrigation were respective 40 kPa and 6 kPa.

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Bing-Yuan Cao

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© 2007 Springer-Verlag Berlin Heidelberg

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Yu, N. et al. (2007). Fuzzy Evaluation of Different Irrigation and Fertilization on Growth of Greenhouse Tomato. In: Cao, BY. (eds) Fuzzy Information and Engineering. Advances in Soft Computing, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71441-5_106

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  • DOI: https://doi.org/10.1007/978-3-540-71441-5_106

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71440-8

  • Online ISBN: 978-3-540-71441-5

  • eBook Packages: EngineeringEngineering (R0)

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