A Comparative Study Based on SVR for the Change of Strawberry Productions by the Variation of Nutrient Water Flow

A.B.M. Salman Rahman; Myeongbae Lee (이명배); Vasanth Ragu; Cho Yong Yun (조용윤); Park Jang Woo (박장우); Chang-Sun Shin (신창선)

doi:10.34163/jkits.2019.14.3.008

A Comparative Study Based on SVR for the Change of Strawberry Productions by the Variation of Nutrient Water Flow

Journal of Knowledge Information Technology and Systems
Abbr : JKITS
2019, 14(3), pp.291-303
DOI : 10.34163/jkits.2019.14.3.008
Publisher : Korea Knowledge Information Technology Society
Research Area : Interdisciplinary Studies > Interdisciplinary Research
Received : May 21, 2019
Accepted : June 7, 2019
Published : June 30, 2019

A.B.M. Salman Rahman ¹, Myeongbae Lee ¹, Vasanth Ragu ¹, Cho Yong Yun ¹, Park Jang Woo ¹, Chang-Sun Shin ¹

¹순천대학교

Accredited

ABSTRACT

Strawberry is one of the most well-liked fruits all over the world, and strawberry productions is rapidly rising as one of the most healthy economies all over the world. Due to the high demand for strawberries, greenhouse strawberry cultivation is increasing rapidly and farmers are using different types of methods for greenhouse cultivation to get high productions. The aims of this study are to find out the high production rate of the strawberry based on nutrient solutions with water flow rate. Farmers use a different amount of water nutrient solutions for strawberry production but mostly they don’t know how much nutrient solutions with water flow is good for getting high production because of giving the high amount or less amount of nutrient solutions with water flow are always not good or bad for productions. Farmers have to know about the amount of nutrient solutions with water flow for getting good productions and now this is the high time to support farmers for increasing their strawberry productions by giving technological support. Therefore, in this study, we analyze the production rate of strawberries based on the nutrient solutions with water flow rate of strawberries in every bed. Finally, through the results and discussion by using the support vector regression model we find out that how much nutrient solutions with water flow should be needed to obtain high yielding of strawberries.

KEYWORDS

Green house, Support vector regression, Nutrient water, Strawberry production, Cell growth, Photosynthesis.

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Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89

A Comparative Study Based on SVR for the Change of Strawberry Productions by the Variation of Nutrient Water Flow

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Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89

A Comparative Study Based on SVR for the Change of Strawberry Productions by the Variation of Nutrient Water Flow

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