1. Agnihotri S, Gupta J, Garg N, Khatri P (2023) Comparative analysis of tomato leaf disease detection using machine learning. In: Proceedings of the 2023 6th international conference on information systems and computer networks (ISCON). IEEE, pp 1–5
2. Ananya HP, Magadum SK, Swathi S, Prasad AS (2023) Real-time tomato plant leaf disease detection using convolutional neural networks. In: Proceedings of the information systems and computer networks (ISCON) 2023 6th international conference on 2023 international conference on recent trends in electronics and communication (ICRTEC). IEEE, pp 1–6
3. Babu PR, Atluri SK (2023) Deep learning-assisted SVMs for efficacious diagnosis of tomato leaf diseases: a comparative study of GoogLeNet, AlexNet, and ResNet-50. Ingenierie des Systemesd’Information 28(3):639
4. Jerome NJ, Jothiraj S, Kandasamy S, Ramachandran D, Selvaraj S, Ilango P (2023) An effective approach for plant disease detection using assessment-based convolutional neural networks (A-CNN). J Adv Res Appl Sci Eng Technol 31(3):155–172
5. Jung M, Song JS, Shin A-Y, Choi B, Go S, Kwon S-Y et al (2023) Construction of deep learning-based disease detection models in plants. Sci Rep 13(1):7331