ANALYSIS OF WHEAT CROP FORECASTS, IN INDIA, GENERATED USING REMOTE SENSING DATA, UNDER FASAL PROJECT

5 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. Applying Remote Sensing, Sensors, and Computational Techniques to Sustainable Agriculture: From Grain Production to Post-Harvest D. Rodrigues et al. https://doi.org/10.3390/agriculture14010161
3. Remote Sensing Based Yield Estimation of Rice (Oryza Sativa L.) Using Gradient Boosted Regression in India P. Arumugam et al. https://doi.org/10.3390/rs13122379
4. GENETIC VARIABILITY IN F5 AND F6 GENERATIONS OF BREAD WHEAT (Triticum Aestivum L.) UNDER TIMELY AND LATE SOWN CONDITIONS S. Yadav et al. https://doi.org/10.18006/2020.8(5).535.543
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