ESTIMATING CORN YIELD IN THE UNITED STATES WITH MODIS EVI AND MACHINE LEARNING METHODS

15 citations as recorded by crossref.

1. Multimodal Deep Learning for Rice Yield Prediction Using UAV-Based Multispectral Imagery and Weather Data M. Mia et al. 10.3390/rs15102511
2. An enhanced spatiotemporal fusion method – Implications for DNN based time-series LAI estimation by using Sentinel-2 and MODIS Y. Li et al. 10.1016/j.fcr.2022.108452
3. Forecasting Corn Yield With Machine Learning Ensembles M. Shahhosseini et al. 10.3389/fpls.2020.01120
4. Winter Wheat Yield Prediction at County Level and Uncertainty Analysis in Main Wheat-Producing Regions of China with Deep Learning Approaches X. Wang et al. 10.3390/rs12111744
5. Estimating wheat yields in Australia using climate records, satellite image time series and machine learning methods E. Kamir et al. 10.1016/j.isprsjprs.2019.11.008
6. Using spatio-temporal fusion of Landsat-8 and MODIS data to derive phenology, biomass and yield estimates for corn and soybean C. Liao et al. 10.1016/j.scitotenv.2018.09.308
7. Support Vector Machine in Precision Agriculture: A review Z. Kok et al. 10.1016/j.compag.2021.106546
8. An LSTM neural network for improving wheat yield estimates by integrating remote sensing data and meteorological data in the Guanzhong Plain, PR China H. Tian et al. 10.1016/j.agrformet.2021.108629
9. Selection of Independent Variables for Crop Yield Prediction Using Artificial Neural Network Models with Remote Sensing Data P. Hara et al. 10.3390/land10060609
10. Geographically and temporally weighted neural network for winter wheat yield prediction L. Feng et al. 10.1016/j.rse.2021.112514
11. A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level H. Jiang et al. 10.1111/gcb.14885
12. Paddy Yield Prediction in Tamilnadu Delta Region Using MLR-LSTM Model S. P & G. P 10.1080/08839514.2023.2175113
13. Out-of-year corn yield prediction at field-scale using Sentinel-2 satellite imagery and machine learning methods J. Desloires et al. 10.1016/j.compag.2023.107807
14. Neural network for grain yield predicting based multispectral satellite imagery: comparative study Z. Khalil & S. Abdullaev 10.1016/j.procs.2021.04.146
15. Bridging the gap between crop breeding and GeoAI: Soybean yield prediction from multispectral UAV images with transfer learning J. Skobalski et al. 10.1016/j.isprsjprs.2024.03.015