RICE YIELD ESTIMATION THROUGH ASSIMILATING SATELLITE DATA INTO A CROP SIMUMLATION MODEL

7 citations as recorded by crossref.

1. Spatial Rice Yield Estimation Using Multiple Linear Regression Analysis, Semi-Physical Approach and Assimilating SAR Satellite Derived Products with DSSAT Crop Simulation Model S. Pazhanivelan et al. https://doi.org/10.3390/agronomy12092008
2. Remote Sensing Data Assimilation in Dynamic Crop Models Using Particle Swarm Optimization M. Wagner et al. https://doi.org/10.3390/ijgi9020105
3. A Global Systematic Review of Improving Crop Model Estimations by Assimilating Remote Sensing Data: Implications for Small-Scale Agricultural Systems L. Dlamini et al. https://doi.org/10.3390/rs15164066
4. Crop Yield Assessment Using Field-Based Data and Crop Models at the Village Level: A Case Study on a Homogeneous Rice Area in Telangana, India R. Mandapati et al. https://doi.org/10.3390/agriengineering5040117
5. Integrating S1A microwave remote sensing and DSSAT CROPGRO simulation model for groundnut area and yield estimation S. Thirumeninathan et al. https://doi.org/10.1016/j.eja.2024.127348
6. Near Real-Time Biophysical Rice (Oryza sativa L.) Yield Estimation to Support Crop Insurance Implementation in India P. Arumugam et al. https://doi.org/10.3390/agronomy10111674
7. Research on Assimilation of Unmanned Aerial Vehicle Remote Sensing Data and AquaCrop Model W. Li et al. https://doi.org/10.3390/s24103255