Indian-Crop-Classification-using-UAV-Images

Crop classification using aerial images by analyzing an ensemble of DCNNs under multi-filter & multi-scale framework

Publication: Kalita, I., Singh, G. P., & Roy, M. (2022). Crop classification using aerial images by analyzing an ensemble of DCNNs under multi-filter & multi-scale framework. Multimedia Tools and Applications, 1-25.

Instruction:

1. MFMS.py: Run the script to generate the Individual score using MFMS architecture.
2. InceptionV3.py: Run the script to generate the Individual score using pre-trained architecture.
3. Ensemble_Sum.py: Run the script to produce the ensemble result.

Dataset: Assam Agricultural Region Crop (AARC) and Kolkata Agricultural Region Crop (KARC). The datasets are available using the link: https://drive.google.com/file/d/1SMhHz_T_FjBcSKOg43IyMjQK4fwejjAM/view?usp=sharing

Note: Please cite the work if you are using the code in your work. Thank you