Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Predicting Net Income for Cultivation Plan Consultation

  • Lee, Soong-Hee (Department of Electronic, Telecommunications, Mechanical & Automotive Engineering, Inje University) ;
  • Yoe, Hyun (Department of Information and Communications Engineering, Sunchon University)
  • Received : 2020.04.19
  • Accepted : 2020.09.18
  • Published : 2020.09.30
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Abstract

The net income per unit area from crop production could be the most critical consideration for agricultural producers during cultivation planning. This paper proposes a scheme for predicting the net income per unit area based on machine learning and related calculations. This scheme predicts rice production and operation costs by applying climate and price index data. The rice price is also predicted by applying rice production and operation cost data. Finally, these predicted results are employed to calculate the predicted net income, which is compared with the actual net income. Consequently, the proposed scheme shows a meaningful degree of conformity, which indicates the potential of machine learning for predicting various aspects of agricultural production.

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References

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