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A Prediction System for Amounts of Fruits of a Citrus Tree based on Machine Learning

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2024, 20(2), pp.29-34
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : June 3, 2024
  • Accepted : June 20, 2024
  • Published : June 30, 2024

Lee Bong Kyu 1

1제주대학교

Accredited

ABSTRACT

Information and communication technology (ICT) is starting to be applied to agricultural technology. And Research is being actively conducted to control crop production by analyzing data measured using IoT devices with artificial intelligence technologies. Since information about the growth stages of Citrus can be converted into digital data, production control is possible by information and communication technology. In this paper, we propose an artificial intelligence method that predicts the actual amount of citrus. The proposed method presents a prediction model that can be effectively learn data corresponding to factors that can predict the amount of citrus. The model consists of a complex model in form of an ensemble for optimal prediction. The performance of the proposed model is verified using data obtained from actual citrus trees.

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