UAV-Based Deep Learning with Tiny-YOLOv9 for Revolutionizing Paddy Rice Disease Detection. - Jayakrishnan Anandakrishnan; Arun Kumar Sangaiah; Nguyen Khanh Son; Shivani Kumari; Muhammad Luqman Arif; Mohd Amiruddin Abd Rahman (SmartIoT, 2024)

CERMF-Net: A SAR-Optical Feature Fusion for Cloud Elimination From Sentinel-2 Imagery Using Residual Multiscale Dilated Network. - Jayakrishnan Anandakrishnan; Venkatesan Meenakshi Sundaram; Prabhavathy Panneer (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

LCUT-Sv9: UAV-Assisted Powerline Inspection Framework with Secure Time-Sensitive Communication for Industry 5.0. - Arun Kumar Sangaiah; Jayakrishnan Anandakrishnan; Nguyen Khanh Son; Hendri Darmawan; Gui-Bin Bian; Mohammed J. F. Alenazi (IEEE Open J. Commun. Soc., 2025)

Precise Spatial Prediction of Rice Seedlings From Large-Scale Airborne Remote Sensing Data Using Optimized Li-YOLOv9. - Jayakrishnan Anandakrishnan; Arun Kumar Sangaiah; Hendri Darmawan; Nguyen Khanh Son; Yi-Bing Lin; Mohammed J. F. Alenazi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

STA-AgriNet: A Spatio-Temporal Attention Framework for Crop Type Mapping from Fused Multi-Sensor Multi-Temporal SITS. - Jayakrishnan Anandakrishnan; Venkatesan Meenkaski Sundaram; Prabhavathy Panneer (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Edge-IoT-UAV Adaptation Toward Precision Agriculture Using 3D-LiDAR Point Clouds. - Arun Kumar Sangaiah; Jayakrishnan Anandakrishnan; Meenakshisundaram Venkatesan; Mohd Amiruddin Abd Rahman; Padmapriya Arumugam; Mrinali Das (IEEE Internet Things Mag., 2025)

R-UAV-Net: Enhanced YOLOv4 With Graph-Semantic Compression for Transformative UAV Sensing in Paddy Agronomy. - Arun Kumar Sangaiah; Jayakrishnan Anandakrishnan; Aniruth Reddy Devarapelly; Muhammad Luqman Arif Bin Mohamad; Gui-Bin Bian; Mohammed J. F. Alenazi; Salman A. AlQahtani (IEEE Trans. Cogn. Commun. Netw., 2025)