Articles | Volume 11, issue 2
https://doi.org/10.5194/ms-11-299-2020
https://doi.org/10.5194/ms-11-299-2020
Research article
 | 
31 Jul 2020
Research article |  | 31 Jul 2020

Design and Robustness Analysis of Intelligent Controllers for Commercial Greenhouse

Mattara Chalill Subin, Abhilasha Singh, Venkatesan Kalaichelvi, Ramanujam Karthikeyan, and Chinnapalaniandi Periasamy

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Subject: Dynamics and Control | Techniques and Approaches: Mathematical Modeling and Analysis
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Cited articles

Adeyemi, O., Grove, I., Peets, S., Domun, Y., and Norton, T.: Dynamic neural network modelling of soil moisture content for predictive irrigation scheduling, Sensors, 18, 3408, https://doi.org/10.3390/s18103408, 2018. 
Akkuzu, E., Kaya, U., Çamoğlu, G., Mengü, G. P., and Aşik, S.: Determination of crop water stress index and irrigation timing on olive trees using a handheld infrared thermometer, J. Irrig. Drain E.-ASCE, 139, 728–737, https://doi.org/10.1061/(ASCE)IR.1943-4774.0000623, 2013. 
Alderfasi, A. A. and Nielsen, D. C.: Use of crop water stress index for monitoring water status and scheduling irrigation in wheat, Agr. Water Manage., 47, 69–75, https://doi.org/10.1016/S0378-3774(00)00096-2, 2001. 
Alireza, A. and dos Santos Coelho, L.: A novel framework for optimization of a grid independent hybrid renewable energy system, A case study of Iran, Solar Energy, 112, 383–396, https://doi.org/10.1016/j.solener.2014.12.013, 2015. 
Arruda, L. V. R., Swiech, M. C. S., Delgado, M. R. B., and Neves, F.: PID control of mimo process based on rank niching genetic algorithm, Appl. Intell., 29, 290–305, https://doi.org/10.1007/s10489-007-0095-6, 2008. 
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Short summary
Commercial greenhouses are the backbone of farming industry in the regions with arid climatic conditions. Design & implementation of the control systems are driving a major opportunity while doing the up-gradation of conventional type commercial greenhouses. The greenhouse control modules have strong interactions between its parameters, experimental results emphasized that good control system selection can provide a revolutionary increase in terms of crop yield with a minimal energy utilization.