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1
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84962670222
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Review of machine learning approaches for biomass and soil moisture retrievals from remote sensing data
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Ali, I., Greifeneder, F., Stamenkovic, J., Neumann, M., and Notarnicol, C. (2015), Review of machine learning approaches for biomass and soil moisture retrievals from remote sensing data, Remote Sensing, Vol. 7, No. 12, pp. 16398-16421.
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Ali, I.1
Greifeneder, F.2
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2
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84894465684
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Random forests and decision trees
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Ali, J., Khan, R., Ahmad, N., and Maqsood, I. (2012), Random forests and decision trees, International Journal of Computer Science Issues, Vol. 9, No. 5, pp. 272-278.
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Ali, J.1
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3
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0035478854
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Random forests
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Machine Learning
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Breiman, L.1
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4
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34249753618
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Support-vector network
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77949522811
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Why does unsupervised pre-training help deep learning?
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Erhan, D., Bengio, Y., Courville, A., Manzagol, P.A., and Vincent, P. (2010), Why does unsupervised pre-training help deep learning?, Journal of Machine Learning Research, Vol. 11, pp. 625-660.
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21744462998
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On bias, variance, 0/1-loss, and the curse-of-dimensionality
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Extremely randomized trees
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Geurts, P.1
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84988936214
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A study on estimating rice yield in dprk using modis ndvi and rainfall data
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(in Korean with English abstract)
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Hong, S.Y., Na, S.I., Lee, K.D., Kim, Y.S., and Baek, S.C. (2015), A study on estimating rice yield in DPRK using MODIS NDVI and rainfall data, Korean Journal of Remote Sensing, Vol. 31, No. 5, pp. 441-448. (in Korean with English abstract)
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Korean Journal of Remote Sensing
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Hong, S.Y.1
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Baek, S.C.5
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9
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52949132203
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Rice yield prediction using a support vector regression method
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14-17 May, Krabi, Thailand
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Jaikla, R., Auephanwiriyakul, S., and Jintrawet, A. (2008), Rice yield prediction using a support vector regression method, Proceedings of Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology 2008, 14-17 May, Krabi, Thailand, pp. 908-913.
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Proceedings of Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology 2008
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Jaikla, R.1
Auephanwiriyakul, S.2
Jintrawet, A.3
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10
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1942504231
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An artificial neural network model for estimating crop yields using remotely sensed information
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Jiang, D., Yango, X., Clinton, N., and Wang, N. (2004), An artificial neural network model for estimating crop yields using remotely sensed information, International Journal of Remote Sensing, Vol. 25, No. 9, pp. 1723-1732.
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Jiang, D.1
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11
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33645695410
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Support vector machines in r
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Karatzoglou, A., Meyer, D., and Hornik, K. (2006), Support vector machines in R, Journal of Statistical Software, Vol. 15, No. 9. pp. 1-28.
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Karatzoglou, A.1
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Hornik, K.3
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12
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84988916527
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Estimation of corn and soybean yields of the us midwest using satellite imagery and climate dataset
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(in Korean with English abstract)
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Kim, N., Cho, J., Shibasaki, R., and Lee, Y.W. (2014), Estimation of corn and soybean yields of the US Midwest using satellite imagery and climate dataset, Journal of Climate Research, Vol. 9, No. 4, pp. 315-329. (in Korean with English abstract)
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Kim, N.1
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13
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84962520548
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Estimating crop yields with deep learning and remotely sensed data
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26-31 July, Milan, Italy
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Kuwata, K. and Shibasaki, R. (2015), Estimating crop yields with deep learning and remotely sensed data, Proceedings of 2015 IEEE International Geoscience and Remote Sensing Symposium, 26-31 July, Milan, Italy, pp. 858-861.
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Proceedings of 2015 IEEE International Geoscience and Remote Sensing Symposium
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Kuwata, K.1
Shibasaki, R.2
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14
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84988935832
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Estimation of corn and soybean yields based on modis data and casa model in Iowa and Illinois, USA
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(in Korean with English abstract)
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Na, S., Hong, S., Kim, Y., and Lee, K. (2014), Estimation of corn and soybean yields based on MODIS data and CASA model in Iowa and Illinois, USA, Korean Journal of Soil Science and Fertilizer, Vol. 47, No. 2, pp. 92-99. (in Korean with English abstract)
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Korean Journal of Soil Science and Fertilizer
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Na, S.1
Hong, S.2
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Lee, K.4
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15
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31044453033
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Crop yield estimation model for Iowa using remote sensing and surface parameters
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Prasad, A.K., Chai, L., Singh, R.P., and Kafatos, M. (2006), Crop yield estimation model for Iowa using remote sensing and surface parameters. International Journal of Applied Earth Observation and Geoinformation, Vol. 8, pp. 26-33.
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Prasad, A.K.1
Chai, L.2
Singh, R.P.3
Kafatos, M.4
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16
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54849411536
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Regional yield estimation for winter wheat with modisndvi data in shandong, China
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Ren, J.Q., Chen, Z.X., Zhou, Q.B., and Tang, H.J. (2008), Regional yield estimation for winter wheat with MODISNDVI data in Shandong, China. International Journal of Applied Earth Observation and Geoinformation, Vol. 10, pp. 403-413.
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Ren, J.Q.1
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Zhou, Q.B.3
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17
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84961292758
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