Prediction and Control of the Water Content of the Turfgrass Plant by an Intelligent System Using Image Processing and Support Vector Regression Algorithm

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Nadafzadeh Maryam; ABDANAN MEHDIZADEH SAMAN; Salehi Salmi Mohammadreza

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Journal: MACHINE VISION AND IMAGE PROCESSING Year:2019 | Volume:7 | Issue:2 Page(s): 85-102

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Title

Prediction and Control of the Water Content of the Turfgrass Plant by an Intelligent System Using Image Processing and Support Vector Regression Algorithm

Author(s)

Nadafzadeh Maryam | ABDANAN MEHDIZADEH SAMAN | Salehi Salmi Mohammadreza | Issue Writer Certificate

Keywords

Digital images processing

Turfgrass

Intelligent irrigation control

Support vector regression

Abstract

Due to the environmental changes and increasing global temperature and drought conditions, irrigation of plants along with theirs protection of growth as well as high yield is very important. Therefore, water consumption can be reduced significantly in agriculture by monitoring and control of plant growth conditions and increase the irrigation efficiency through the conversion of surface irrigation methods to smart irrigation systems in the situation of water crisis. In this study, to detect plant water requirement, a set of turf grass plants images were taken and studied under drought stress conditions to extract the color, texture and number of features in the frequency domain. Thereafter, all the extracted parameters of images were investigated, then, according to the results of statistical analysis (p<0. 05), most appropriate features were selected to predict water content of plant by Support vector regression algorithm (SVR). Finally, it was shown that the linear kernel function of SVR algorithm has the highest correlation coefficient (0. 95) and the lowest values of MAPE (14. 08), RMSE (0. 10), SRE (0. 063) and RAV (0. 14) compared to other kernels. Thus, this indicated that the ability of suggested system to measure and evaluate wilting plant conditions and control of required water for plant.

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APA: Copy

Nadafzadeh, Maryam, ABDANAN MEHDIZADEH, SAMAN, & Salehi Salmi, Mohammadreza. (2019). Prediction and Control of the Water Content of the Turfgrass Plant by an Intelligent System Using Image Processing and Support Vector Regression Algorithm. MACHINE VISION AND IMAGE PROCESSING, 7(2 ), 85-102. SID. https://sid.ir/paper/360884/en

Vancouver: Copy

Nadafzadeh Maryam, ABDANAN MEHDIZADEH SAMAN, Salehi Salmi Mohammadreza. Prediction and Control of the Water Content of the Turfgrass Plant by an Intelligent System Using Image Processing and Support Vector Regression Algorithm. MACHINE VISION AND IMAGE PROCESSING[Internet]. 2019;7(2 ):85-102. Available from: https://sid.ir/paper/360884/en

IEEE: Copy

Maryam Nadafzadeh, SAMAN ABDANAN MEHDIZADEH, and Mohammadreza Salehi Salmi, “Prediction and Control of the Water Content of the Turfgrass Plant by an Intelligent System Using Image Processing and Support Vector Regression Algorithm,” MACHINE VISION AND IMAGE PROCESSING, vol. 7, no. 2 , pp. 85–102, 2019, [Online]. Available: https://sid.ir/paper/360884/en

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