Real time iot enabled automated leaf disease identification using deep learning models – a review
Author:
Anju U. V.,Swaraj K. P.
Reference15 articles.
1. N. Kitpo, Y. Kugai, M. Inoue, T. Yokemura, and S. Satomura, Internet of things for greenhouse monitoring system using deep learning and bot notification services (IEEE International Conference on Consumer Electronics (ICCE), pp. 1–4, 2019).
2. N. Materne and M. Inoue, “Iot monitoring system for early detection of agricultural pests and diseases,” IEEE (12th South East Asian Technical University Consortium (SEATUC), 2018) pp. 1–5.
3. M. H. Jumat, M. S. Nazmudeen, and A. T. Wan, “Smart farm prototype for plant disease detection, diagnosis & treatment using iot device ina greenhouse,” (2018).
4. N. Kitpo and M. Inoue, “Early rice disease detection and position mapping system using drone and iot architecture,” in 2018 12th South East Asian Technical University Consortium (SEATUC), Vol. 1 (IEEE, 2018) pp. 1–5.
5. M. I. Pavel, S. M. Kamruzzaman, S. S. Hasan, and S. R. Sabuj, “An iot based plant health monitoring system implementing image processing,” in 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS) (IEEE, 2019) pp. 299–303.