A Study on Prediction of Tomato Production Using BI-LSTM for Smart Farm Utilization 


Vol. 48,  No. 4, pp. 457-468, Apr.  2023
10.7840/kics.2023.48.4.457


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  Abstract

The existing agricultural sector is facing labor shortages due to low birth rates and aging population along with recent rapid climate changes. Accordingly, the application of ICT, which is converging and expanding in various fields, has become increasingly required in the agricultural field as well. Among various agricultural technologies based on ICT, smart farms that are recently spreading have high initial cost of deployment and are simply monitoring the status of growth, so it is necessary to find and prepare a plan for practical use.

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[IEEE Style]

Se-YunLee, HyeonjeongYang, MinyoungKim, JunkyeongKim, A-YoungSon, SeonghunHong, "A Study on Prediction of Tomato Production Using BI-LSTM for Smart Farm Utilization," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 4, pp. 457-468, 2023. DOI: 10.7840/kics.2023.48.4.457.

[ACM Style]

Se-YunLee, HyeonjeongYang, MinyoungKim, JunkyeongKim, A-YoungSon, and SeonghunHong. 2023. A Study on Prediction of Tomato Production Using BI-LSTM for Smart Farm Utilization. The Journal of Korean Institute of Communications and Information Sciences, 48, 4, (2023), 457-468. DOI: 10.7840/kics.2023.48.4.457.

[KICS Style]

Se-YunLee, HyeonjeongYang, MinyoungKim, JunkyeongKim, A-YoungSon, SeonghunHong, "A Study on Prediction of Tomato Production Using BI-LSTM for Smart Farm Utilization," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 4, pp. 457-468, 4. 2023. (https://doi.org/10.7840/kics.2023.48.4.457)
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