1. Amara, J., Bouaziz, B., Algergawy, A.: A deep learning-based approach for banana leaf diseases classification. BTW 2017, Datenbanksysteme für Business, Technologie und Web, Stuttgart, Deutschland, pp. 79–88 (2017)
2. Cheng, X., Youhua, Z., Yiqiong, C., Yunzhi, W., Yi, Y.: Pest identification via deep residual learning in complex background. Comput Electron Agric. 141, 351–356 (2017)
3. Chiwamba, S.H., Phiri, J., Nkunika, P.O., Nyirenda, M., Kabemba, M.M.: An application of machine learning algorithms in automated Identification and capturing of fall armyworm (FAW) moths in the field. ICICT2018, In: 2nd IEEE International Conference in Information and Communication Technologies, Lusaka, Zambai (2018).
4. Chulu, F., Phiri, J., Nyirenda, M., Kabemba, M.M., Nkunika, P., Chiwamba, S.: Developing an automatic identification and early warning and monitoring web based system of fall army worm based on machine learning in developing countries. Zambia ICT J. 3, 13–20 (2019)
5. Dutta, A., Zisserman, A.: The VIA annotation software for images, audio and video. In: Proceedings of the 27th ACM International Conference on Multimedia. pp. 2276–2279 (2019)