발간년도 : [2024]
| 논문정보 |
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| 논문명(한글) |
[Vol.19, No.1] Analysis of Domestic and Overseas Smart Agriculture Status Focusing on Deep Learning Neural Network Technology |
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| 논문투고자 |
Kwon Oh-Sung |
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| 논문내용 |
The hollowing out and aging of Korea's rural areas due to population decline are greatly reducing agricultural productivity and are acting as a major burden on the national economy. Accordingly, Korean government is attempting to resolve the chronic manpower shortage in rural areas and transform it into high-value-added agriculture through technological innovation incorporating smart technology, but the expected results are not being achieved. There are various causes underlying this phenomenon, but one possible reason is the absence of a smart farm development plan suited to Korea's circumstances. In this paper, we believe that Korea's future agriculture is aimed at AI-based unmanned automation and examine the current status of domestic and overseas smart farm technology centered on deep learning technology. As a result, it was confirmed that deep learning analysis technology is being effectively applied for the purposes of disease detection, crop classification, and energy saving, and has significant implications for Korean agriculture. In addition, we analyzed the causes and problems that failed to create a satisfactory situation despite the Korean government's efforts to foster smart farms. In this paper, after analyzing the current situation, we will list the problems of Korea's smart farm promotion and propose smart farm development plans for Korea's future agriculture. |
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