Forecasting crop yield with deep learning based ensemble model
Author:
Publisher
Elsevier BV
Subject
General Medicine
Reference21 articles.
1. K.B. Douglas, A.F. Mark, Forecasting crop yield using remotely sensed vegetation indices and crop phenology metrics, Agric. Forest Meteorol. 173 (2013) 74–84.
2. J. You, L. Xiaocheng, L. Melvin, L. David, E. Stefano, Deep Gaussian process for crop yield prediction based on remote sensing data, in: Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, San Francisco, California, USA, 2017, pp. 4559–4565.
3. Wheat yield forecasting for the Tisza river catchment using Landsat 8 NDVI and SAVI time series and reported crop statistics;Nagy;Agronomy,2021
4. Winter wheat yield assessment from Landsat 8 and Sentinel-2 data: incorporating surface reflectance, through phenological fitting, into regression yield models;Skakun;Remote Sensing,2019
5. S. Heremans, Q. Dong, B. Zhang, L. Bydekerke, J. Van Orshoven, Potential of ensemble tree methods for early-season prediction of winter wheat yield from short time series of remotely sensed normalised difference vegetation index and meteorological data, J. Appl. Remote Sensing 9 (1) (2015) 1–33.
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