FROM PIXEL TO YIELD: FORECASTING POTATO PRODUCTIVITY IN LEBANON AND IDAHO

9 citations as recorded by crossref.

1. Effects of Satellite Revisit Rate and Time-Series Smoothing Method on Throughout-Season Maize Yield Correlation Accuracy E. Myers et al. https://doi.org/10.1109/JSTARS.2021.3129148
2. On the issue of forecasting crop yields for the purposes of adaptive landscape agriculture D. Ivanov et al. https://doi.org/10.31857/S2500262724040015
3. Prediction of Grass Mixture Crop Yield for the Purposes of Adaptive Landscape Agriculture D. Ivanov et al. https://doi.org/10.3103/S1068367424700472
4. Using hyperspectral remote sensing to develop new insights into precision nitrogen management for potato production A. Alkhaled et al. https://doi.org/10.1016/j.atech.2025.101372
5. A review of remote sensing for potato traits characterization in precision agriculture C. Sun et al. https://doi.org/10.3389/fpls.2022.871859
6. In-season nitrogen status and pre-harvest potato yield assessment using air-spaceborne imagery with AI techniques B. Javed et al. https://doi.org/10.1016/j.fcr.2025.109794
7. Yield prediction of root crops in field using remote sensing: A comprehensive review H. Jiang et al. https://doi.org/10.1016/j.compag.2024.109600
8. Developing a robust yield prediction model for potatoes (Solanum tuberosum L.) using multi-faceted and multi-year data A. Alkhaled & Y. Wang https://doi.org/10.1016/j.atech.2024.100734
9. High‐resolution satellite imagery and machine learning for predicting yield and nitrogen uptake in potatoes R. Singh et al. https://doi.org/10.1002/agj2.70463