automatic measurement, control, and computer simulation, Beijing, China, vol 6358 II. The
International Society for Optical Engineering, Article number63585E
Ehret DL, Hill BD, Raworth DA, Estergaard B (2008) Artificial neural network modeling to
predict cuticle cracking in greenhouse peppers and tomatoes. Comput Electron Agric
61:108–116
Ehrlich H, Kühne M, Jäkel J (1996) Development of a fuzzy control system for greenhouses. Acta
Hortic 406:463–470
Eiben AE, Smith JE (2003) Introduction to evolutionary computing. Springer-Verlag, Berlin
299 pp
El Ghoumari MY, Tantau HJ, Serrano J (2005) Comput Electron Agric 49:345–356
Elfelly N, Dieulot J-Y, Benrejeb M, Borne P (2010) A new approach for multimodel
identification of complex systems based on both neural and fuzzy clustering algorithms. Eng
Appl Artif Intell 23:1064–1071
Errahmani A, Benyakhlef M, Boumhidi I (2009) Decentralized fuzzy control applied to a
greenhouse. ICGST-ACSE J 9(II):35–40
Ferreira PM, Faria EA, Ruano AE (2002) Neural network models in greenhouse air temperature
prediction. Neurocomputing 43:51–75
Fitz-Rodríguez E, Giacomelli GA (2009) Yield prediction and growth mode characterization of
greenhouse tomatoes with neural networks and fuzzy logic. Trans ASABE 52(6):2115–2128
Fitz-Rodríguez E, Kacira M, Villarreal-Guerrero F, Giacomelli G, Kubota C, Linker R, Arbel A
(2012) Neural network predictive control in a naturally ventilated and fog cooled greenhouse.
Acta Hortic (ISHS) 952:45–52
Fourati F, Chtourou M (2007) A greenhouse control with feed-forward and recurrent neural
networks. Simul Model Pract Theory 15:1016–1028
Frausto HU, Pieters JG (2004) Modeling greenhouse temperature using system identification by
means of neural networks. Neurocomputing 56:423–428
Gates RS, Chao K, Sigrimis N (2001) Identifying design parameters for fuzzy control of staged
ventilation control systems. Comput Electron Agric 31:61–74
Gieling ThH, Janssen HJJ, van Straten G, Suurmond M (2000) Identification and simulated
control of greenhouse closed water supply systems. Comput Electron Agric 26:361–374
Gupta MM, Jin L, Homma N (2003) Static and dynamic neural networks: from fundamentals to
advanced theory. Wiley-Interscience, Hoboken
Gurban EH, Andreescu GD (2012) Comparison study of PID controller tuning for greenhouse
climate with feedback-feedforward linearization and decoupling. In: 16th ICSTCC. Code
94836
Guzmán-Cruz R, Castañeda-Miranda R, García-Escalante JJ, López-Cruz IL, Lara-Herrera A, de
la Rosa JI (2009) Calibration of a greenhouse climate model using evolutionary algorithms.
Biosyst Eng 104:135–142
Gruber JK, Guzmán JL, Rodríguez F, Bordons C, Berenguel M, Sánchez JA (2011) Nonlinear
MPC based on Volterra series model for greenhouse temperature control using natural
ventilation. Control Eng Pract 19:354–366
Hahn F (2011) Fuzzy controller decreases tomato cracking in greenhouses. Comput Electron
Agric 77:21–27
Hameed IA, Sorensen CG (2010) A more efficient controller for the greenhouses climate control
systems. Appl Eng Agric 26(3):491–498
Hanan JJ (1998) Greenhouses, advanced technology for protected horticulture. CRC Press, Boca
Raton, p 684
He F, Ma C (2010) Modeling greenhouse air humidity by means of artificial neural network and
principal component analysis. Comput Electron Agric 71:S19–S23
Herrero JM, Blasco X, Martínez M, Ramos C, Sanchis J (2007) Nonlinear robust identification of
a greenhouse model using multi-objective evolutionary algorithms. Biosyst Eng 98:335–346
Herrero JM, Blasco X, Martínez M, Ramos C, Sanchis J (2008) Robust identification of a nonlinear greenhouse model using evolutionary algorihtms. Control Eng Pract 16:515–530
14 Control Strategies of Greenhouse Climate
417
International Society for Optical Engineering, Article number63585E
Ehret DL, Hill BD, Raworth DA, Estergaard B (2008) Artificial neural network modeling to
predict cuticle cracking in greenhouse peppers and tomatoes. Comput Electron Agric
61:108–116
Ehrlich H, Kühne M, Jäkel J (1996) Development of a fuzzy control system for greenhouses. Acta
Hortic 406:463–470
Eiben AE, Smith JE (2003) Introduction to evolutionary computing. Springer-Verlag, Berlin
299 pp
El Ghoumari MY, Tantau HJ, Serrano J (2005) Comput Electron Agric 49:345–356
Elfelly N, Dieulot J-Y, Benrejeb M, Borne P (2010) A new approach for multimodel
identification of complex systems based on both neural and fuzzy clustering algorithms. Eng
Appl Artif Intell 23:1064–1071
Errahmani A, Benyakhlef M, Boumhidi I (2009) Decentralized fuzzy control applied to a
greenhouse. ICGST-ACSE J 9(II):35–40
Ferreira PM, Faria EA, Ruano AE (2002) Neural network models in greenhouse air temperature
prediction. Neurocomputing 43:51–75
Fitz-Rodríguez E, Giacomelli GA (2009) Yield prediction and growth mode characterization of
greenhouse tomatoes with neural networks and fuzzy logic. Trans ASABE 52(6):2115–2128
Fitz-Rodríguez E, Kacira M, Villarreal-Guerrero F, Giacomelli G, Kubota C, Linker R, Arbel A
(2012) Neural network predictive control in a naturally ventilated and fog cooled greenhouse.
Acta Hortic (ISHS) 952:45–52
Fourati F, Chtourou M (2007) A greenhouse control with feed-forward and recurrent neural
networks. Simul Model Pract Theory 15:1016–1028
Frausto HU, Pieters JG (2004) Modeling greenhouse temperature using system identification by
means of neural networks. Neurocomputing 56:423–428
Gates RS, Chao K, Sigrimis N (2001) Identifying design parameters for fuzzy control of staged
ventilation control systems. Comput Electron Agric 31:61–74
Gieling ThH, Janssen HJJ, van Straten G, Suurmond M (2000) Identification and simulated
control of greenhouse closed water supply systems. Comput Electron Agric 26:361–374
Gupta MM, Jin L, Homma N (2003) Static and dynamic neural networks: from fundamentals to
advanced theory. Wiley-Interscience, Hoboken
Gurban EH, Andreescu GD (2012) Comparison study of PID controller tuning for greenhouse
climate with feedback-feedforward linearization and decoupling. In: 16th ICSTCC. Code
94836
Guzmán-Cruz R, Castañeda-Miranda R, García-Escalante JJ, López-Cruz IL, Lara-Herrera A, de
la Rosa JI (2009) Calibration of a greenhouse climate model using evolutionary algorithms.
Biosyst Eng 104:135–142
Gruber JK, Guzmán JL, Rodríguez F, Bordons C, Berenguel M, Sánchez JA (2011) Nonlinear
MPC based on Volterra series model for greenhouse temperature control using natural
ventilation. Control Eng Pract 19:354–366
Hahn F (2011) Fuzzy controller decreases tomato cracking in greenhouses. Comput Electron
Agric 77:21–27
Hameed IA, Sorensen CG (2010) A more efficient controller for the greenhouses climate control
systems. Appl Eng Agric 26(3):491–498
Hanan JJ (1998) Greenhouses, advanced technology for protected horticulture. CRC Press, Boca
Raton, p 684
He F, Ma C (2010) Modeling greenhouse air humidity by means of artificial neural network and
principal component analysis. Comput Electron Agric 71:S19–S23
Herrero JM, Blasco X, Martínez M, Ramos C, Sanchis J (2007) Nonlinear robust identification of
a greenhouse model using multi-objective evolutionary algorithms. Biosyst Eng 98:335–346
Herrero JM, Blasco X, Martínez M, Ramos C, Sanchis J (2008) Robust identification of a nonlinear greenhouse model using evolutionary algorihtms. Control Eng Pract 16:515–530
14 Control Strategies of Greenhouse Climate
417