Operational semi-physical spectral-spatial wheat yield model development

7 citations as recorded by crossref.

1. Cotton Yield Estimation Using Phenological Metrics Derived from Long-Term MODIS Data N. Prasad et al. https://doi.org/10.1007/s12524-021-01414-6
2. Towards Fine-Scale Yield Prediction of Three Major Crops of India Using Data from Multiple Satellite R. Tripathy et al. https://doi.org/10.1007/s12524-021-01361-2
3. Estimating Soybean Production at Multiple Scale Using Remote Sensing Based Crop Model and Data from Both Optical and Microwave Sensor R. Tripathy et al. https://doi.org/10.1007/s12524-026-02495-x
4. Optimizing Crop Yield Estimation through Geospatial Technology: A Comparative Analysis of a Semi-Physical Model, Crop Simulation, and Machine Learning Algorithms M. Gumma et al. https://doi.org/10.3390/agriengineering6010045
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6. Remote Sensing-Based Spatial Mapping of Wheat Yield Using a Semi-Physical Modeling Approach P. Sharma et al. https://doi.org/10.1007/s40010-026-01027-z
7. Semi physical and machine learning approach for yield estimation of pearl millet crop using SAR and optical data products A. Kshetrimayum et al. https://doi.org/10.1080/14498596.2023.2259857