University of Tehran Press Iranian Journal of Biosystem Engineering 2008-4803 48 2 2017 07 23 Design and Development of an Intelligent Control System for Determination of Required Water needed by Plant in Greenhouse Using Machine Vision (Case Study: coleus) Design and Development of an Intelligent Control System for Determination of Required Water needed by Plant in Greenhouse Using Machine Vision (Case Study: coleus) 285 297 62470 10.22059/ijbse.2017.62470 FA Journal Article 2016 07 26 The majority of volume in a plant cell is water, therefore changes in water content drastically affect the growth and metabolism of plants. To handle plants growth in water limited and drought stress conditions numerous mechanisms are considered to be used. In this study it was shown that the automated irrigation system could measure and determine the morphological and color parameters of plant as well as the plant wilting condition. Moreover, the required water for plants has been detected through automated irrigation system, and finally it performs necessary actions in order to improve plant condition. To check the system, in this study, an ornamental shrub with the scientific name of Plectranthus scutellarioides was chosen. According to statistical analysis, there were significant differences between the measured parameters of the wilting and fresh plants (p<0.05). Intelligent control system recognized the required water for plants with precision, sensitivity, specificity and accuracy of 97%, 94%, 96% and 95%, respectively. This indicated that the ability of suggested system in order to measure and evaluate wilting plant conditions and control of required water for plant. The majority of volume in a plant cell is water, therefore changes in water content drastically affect the growth and metabolism of plants. To handle plants growth in water limited and drought stress conditions numerous mechanisms are considered to be used. In this study it was shown that the automated irrigation system could measure and determine the morphological and color parameters of plant as well as the plant wilting condition. Moreover, the required water for plants has been detected through automated irrigation system, and finally it performs necessary actions in order to improve plant condition. To check the system, in this study, an ornamental shrub with the scientific name of Plectranthus scutellarioides was chosen. According to statistical analysis, there were significant differences between the measured parameters of the wilting and fresh plants (p<0.05). Intelligent control system recognized the required water for plants with precision, sensitivity, specificity and accuracy of 97%, 94%, 96% and 95%, respectively. This indicated that the ability of suggested system in order to measure and evaluate wilting plant conditions and control of required water for plant. https://ijbse.ut.ac.ir/article_62470_3a413cab4a1b175a1b32871e890417ca.pdf