DRONE-BASED CROP TYPE IDENTIFICATION WITH CONVOLUTIONAL NEURAL NETWORKS: AN EVALUATION OF THE PERFORMANCE OF RESNET ARCHITECTURES

6 citations as recorded by crossref.

1. Dynamic data collection optimization for UAV wireless sensor networks based on the MIFDDPG algorithm and parameter sharing mechanism X. Chen https://doi.org/10.1088/2631-8695/ae717a
2. Fault Diagnosis Method for Tractor Transmission System Based on Improved Convolutional Neural Network–Bidirectional Long Short-Term Memory L. Xu et al. https://doi.org/10.3390/machines12070492
3. Optimizing crop classification in precision agriculture using AlexNet and high resolution UAV imagery O. Ajayi et al. https://doi.org/10.48130/tia-0024-0009
4. Effect of Hyperparameter Tuning on the Performance of YOLOv8 for Multi Crop Classification on UAV Images O. Ajayi et al. https://doi.org/10.3390/app14135708
5. Large-Scale Crop Image Recognition Based on ConvLSTM Spatiotemporal Feature Extraction and LCMST-Net Model L. Feng & S. Zong https://doi.org/10.1109/ACCESS.2026.3653414
6. Classification of crop infestation with field bindweed using ResNet neural network architectures V. Riksen et al. https://doi.org/10.26898/0370-8799-2026-4-2