Author:
Akkas Ali Md.,Sharma Anupam Kumar,Dhanaraj Rajesh Kumar
Publisher
Springer Nature Singapore
Reference25 articles.
1. Kong, J.L., Wang, H.X., Yang, C.C., Jin, X.B., Zuo, M., Zhang, X.: Fine-grained pests & diseases recognition via Spatial Feature-enhanced attention architecture with high-order pooling representation for precision agriculture practice. Agriculture, 1592804 (2022)
2. Deng, F., Mao, W., Zeng, Z., Zeng, H., Wei, B.: Multiple diseases and pest detection based on federated learning and improved faster R-CNN. IEEE Trans. Instrum. Meas. 71, 1–11 (2022)
3. Chen, C.-J., Huang, Y.-Y., Li, Y.-S., Chen, Y.-C., Chang, C.-Y., Huang, Y.-M.: Identification of fruit tree pests with deep learning on embedded drone to achieve accurate pesticide spraying. IEEE Access 9, 21986–21997 (2021)
4. Hadi, M.K., Kassim, M.S.M., Wayayok, A.: Development of an automated multidirectional pest sampling detection system using motorized sticky traps. IEEE Access 9, 67391–67404 (2021)
5. Martin, J., Ansuategi, A., Maurtua, I., Gutierrez, A., Obregón, D., Casquero, O., Marcos, M.: Using a mobile manipulator, a generic ROS-based control architecture for pest inspection and treatment in greenhouses. IEEE Access 9, 94981–94995 (2021)