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Deep Learning based framework for panicle counting in UAV captued paddy crop

The dataset will be made available soon.

Stay tuned!

@ARTICLE{11048564,
  author={Tejasri, N. and Li, Tang and Guo, Wei and Rajalaksmi, P. and Balram, M. and Desai, Uday B.},
  journal={IEEE Geoscience and Remote Sensing Letters}, 
  title={Improved Panicle Counting With Density-Aware Sampling and Enhanced Matching}, 
  year={2025},
  volume={22},
  number={},
  pages={1-5},
  keywords={Crops;Training;Mathematical models;Head;Prediction algorithms;Annotations;Costs;Autonomous aerial vehicles;Testing;Predictive models;Deep learning;paddy;panicle counting;point-to-point regression;Drone},
  doi={10.1109/LGRS.2025.3582085}}

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