과제정보
This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP-2023-2020-0-01489) supervised by the IITP (Institute for Information & communications Technology Planning & Evaluation).
참고문헌
- Saeed, K.; Lizhi, W.; "Crop yield prediction using deep neural networks," Frontiers in Plant Science, vol.10, Article 621, pp.1-10, May 2019 https://doi.org/10.3389/fpls.2019.00001
- N, B, Priya.; D, Tejasvi.; P, Vaishnavi.; "Crop yield prediction based on Indian agriculture using machine learning," International Journal of Modern Agriculture, vol.9, pp.1963-1973, Aug. 2020
- Doshi, Z., Nadkarni, S., Agrawal, R., Shah, N., "AgroConsultant: intelligent crop recommendation system using machine learning algorithms," 2018 Fourth International Conference on Computing Communication Control and Automation (ICCUBEA), 1-6, Aug. 2018.
- Rashid, M., Bari, B. S., Yusup, Y., Kamaruddin, M. A., Khan, N., "A comprehensive review of crop yield prediction using machine learning approaches with special emphasis on palm oil yield prediction," IEEE Access, vol. 9, 63406-63439, Apr. 2021. https://doi.org/10.1109/ACCESS.2021.3075159
- Saeed, K.; Lizhi, W.; Sotirios, V, A.; "A CNN-RNN framework for crop yield prediction," Frontiers in Plant Science, vol.10, Article 1750, pp.1-14, Jan. 2020 https://doi.org/10.3389/fpls.2019.01750
- Javad, A.; Lizhi, W.; Sotirios, V, A.; "An interaction regression model for crop yield prediction," Scientific Reports, Sep. 2021
- Luke, B.; James, V, Z.; "Efficient stabilization of crop yield prediction in the Canadian Prairies," Elsevier, pp. 223-232, Sep. 2011
- Bornn, L., Zidek, J. V., "Efficient stabilization of crop yield prediction in the Canadian Prairies," Agricultural and Forest Meteorology, vol. 152, 223-232, Jan. 2012. https://doi.org/10.1016/j.agrformet.2011.09.013
- K. Pravallika; G. Karuna; K. Anuradha; V. Srilakshmi; "Deep Neural Network model for proficient crop yield prediction," E3S Web of Conferences 309, pp.1-10, 2021
- Ashwini, I, P.; Ramesh, A, M.; Vinod, D.; "Crop yield prediction using machine learning techniques," International Journal of Scientific Research in Science, Engineering, and Technology, vol.7, no. 3, Mar. 2019
- Zeel, D.; Subhash N.; Rashi A.; Neepa S.; "Agri Consultant: Intelligent Crop Recommendation System Using Machine Learning Algorithms," IEEE, Aug. 2018
- HanByeol Oh; JongHyun Lim; SeungWeon Yang; YongYun Cho; ChangSun Shin; "A Study on the Prediction of Strawberry Production in Machine Learning Infrastructure," Smart Media Journal, Vol. 11, No. 5, pp. 9-16, Jun. 2022 https://doi.org/10.30693/SMJ.2022.11.5.9
- Jiuqing Dong; Alvaro Fuentes; Sook Yoon; Taehyun Kim; Dong Sun Park; "Towards Improved Performance on Plant Disease Recognition with Symptoms Specific Annotation," Smart Media Journal, Vol. 11, No. 4, pp. 38-45, May 2022 https://doi.org/10.30693/SMJ.2022.11.4.38
- Eunji Lee; Hyungwook Park; Eunju Kim; "A Study on LSTM-based water level prediction model and suitability evaluation," Smart Media Journal, Vol. 11, No. 5, pp. 56-62, Jun. 2022 https://doi.org/10.30693/SMJ.2022.11.5.56