JICCE (한국정보통신학회)
Current Result Document : 9 / 9
| 한글제목(Korean Title) |
Predicting Crop Production for Agricultural Consultation Service |
| 영문제목(English Title) |
Predicting Crop Production for Agricultural Consultation Service |
| 저자(Author) |
Soong-Hee Lee
Jae-Yong Bae
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| 원문수록처(Citation) |
VOL 17 NO. 01 PP. 0008 ~ 0018 (2019. 03) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Smart Farming has been regarded as an important application in information and communications technology (ICT) fields. Selecting crops for cultivation at the pre-production stage is critical for agricultural producers’ final profits because overproduction and under-production may result in uncountable losses, and it is necessary to predict crop production to prevent these losses. The ITU-T Recommendation for Smart Farming (Y.4450/Y.2238) defines plan/production consultation service at the preproduction stage; this type of service must trace crop production in a predictive way. Several research papers present that machine learning technology can be applied to predict crop production after related data are learned, but these technologies have little to do with standardized ICT services. This paper clarifies the relationship between agricultural consultation services and predicting crop production. A prediction scheme is proposed, and the results confirm the usability and superiority of machine learning for predicting crop production.
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| 키워드(Keyword) |
Agricultural Consultation Service
Machine Learning
Prediction of Crop Production
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| 파일첨부 |
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