Ensemble of Machine Learning Algorithms for Rice Grain Yield Prediction Using UAV-Based Remote Sensing
-
Published:2023-12-18
Issue:
Volume:
Page:
-
ISSN:1738-1266
-
Container-title:Journal of Biosystems Engineering
-
language:en
-
Short-container-title:J. Biosyst. Eng.
Author:
Sarkar Tapash KumarORCID, Roy Dilip KumarORCID, Kang Ye Seong, Jun Sae Rom, Park Jun Woo, Ryu Chan Seok
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Mechanical Engineering,Engineering (miscellaneous),Agricultural and Biological Sciences (miscellaneous)
Reference81 articles.
1. Abumhadi, N., Todorovska, E., Assenov, B., Tsonev, S., Vulcheva, D., Vulchev, L., Atanasova, S., Savova, S., & Keith, W. (2012). Agricultural research in 21st century: Challenges facing the food security under the impacts of climate change. Bulgarian Journal of Agricultural Science, 18(6), 801–818. 2. Ali, I., Cawkwell, F., Green, S., & Dwyer, N. (2014). Application of statistical and machine learning models for grassland yield estimation based on a hypertemporal satellite remote sensing time series. In 2014 IEEE geoscience and remote sensing symposium (pp. 5060–5063). IEEE. https://doi.org/10.1109/IGARSS.2014.6947634 3. Awad, M., & Khanna, R. (2015). Efficient learning machines: Theories, concepts, and applications for engineers and system designers (p. 268). Springer nature. 4. Bascon, M. V., Nakata, T., Shibata, S., Takata, I., Kobayashi, N., Kato, Y., Inoue, S., Doi, K., Murase, J., & Nishiuchi, S. (2022). Estimating yield-related traits using uav-derived multispectral images to improve rice grain yield prediction. Agriculture, 12(8), 1141. https://doi.org/10.3390/agriculture12081141 5. Bellis, E. S., Hashem, A. A., Causey, J. L., Runkle, B. R., Moreno-García, B., Burns, B. W., Green, S., Burcham, T. N., Reba, M. L., & Huang, X. (2022). Detecting intra-field variation in rice yield with unmanned aerial vehicle imagery and deep learning. Frontiers in Plant Science, 13, 716506. https://doi.org/10.3389/fpls.2022.716506
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
|
|