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

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2. Developing a segment anything model-based framework for automated plot extraction H. Kim et al.
3. A Comparison Between Major Artificial Intelligence Models for Crop Yield Prediction: Case Study of the Midwestern United States, 2006–2015 N. Kim et al.
4. Predicting the impact of extreme weather on agricultural losses in the Delmarva peninsula using multi-step machine learning and financial crop loss data Z. Nourali & J. Shortridge
5. Forecasting Corn Yield With Machine Learning Ensembles M. Shahhosseini et al.
6. Using UAV-Based SOPC Derived LAI and SAFY Model for Biomass and Yield Estimation of Winter Wheat Y. Song et al.
7. Utilizing Collocated Crop Growth Model Simulations to Train Agronomic Satellite Retrieval Algorithms N. Levitan & B. Gross
8. Prediction of Maize Yield at the City Level in China Using Multi-Source Data X. Chen et al.
9. An Artificial Intelligence Approach to Prediction of Corn Yields under Extreme Weather Conditions Using Satellite and Meteorological Data N. Kim et al.
10. Estimating Soybean Yields Using Causal Inference and Deep Learning Approaches With Satellite Remote Sensing Data F. Wang et al.
11. Using Artificial Neural Networks and Remotely Sensed Data to Evaluate the Relative Importance of Variables for Prediction of Within-Field Corn and Soybean Yields A. Kross et al.
12. Support Vector Machine in Precision Agriculture: A review Z. Kok et al.
13. Maize and soybean yield prediction using machine learning methods: a systematic literature review R. Sharma et al.
14. Selection of Independent Variables for Crop Yield Prediction Using Artificial Neural Network Models with Remote Sensing Data P. Hara et al.
15. 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.
16. Paddy Yield Prediction in Tamilnadu Delta Region Using MLR-LSTM Model S. P & G. P
17. Out-of-year corn yield prediction at field-scale using Sentinel-2 satellite imagery and machine learning methods J. Desloires et al.
18. Bridging the gap between crop breeding and GeoAI: Soybean yield prediction from multispectral UAV images with transfer learning J. Skobalski et al.