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All issues Volume 360 (2026) EPJ Web Conf., 360 (2026) 01005 References
Open Access
Issue
EPJ Web Conf.
Volume 360, 2026
1st International Conference on “Quantum Innovations for Computing and Knowledge Systems” (QUICK’26)
Article Number 01005
Number of page(s) 12
DOI https://doi.org/10.1051/epjconf/202636001005
Published online 23 March 2026
  1. Nivethitha, T., and C. Venkataramanan. “A Quantum-Enhanced Deep Learning Framework for Precise Leaf Disease Detection in Tomato and Cotton Crops.” Iranian Journal of Science and Technology, Transactions of Electrical Engineering (2025): 1-32. [Google Scholar]
  2. Khanna, Munish, Law Kumar Singh, Shankar Thawkar, and Mayur Goyal. “PlaNet: a robust deep convolutional neural network model for plant leaves disease recognition.” Multimedia Tools and Applications 83, no. 2 (2024): 4465-4517. [Google Scholar]
  3. Attri, Ishana, Lalit Kumar Awasthi, and Teek Parval Sharma. “EQID: Entangled quantum image descriptor an approach for early plant disease detection.” Crop Protection 188 (2025): 107005. [Google Scholar]
  4. Sam Joshua, A., N. Ramesh Babu, and P. Balasubramaniam. “Crop leaf disease classification using fractional integral image enhancement and quantum convolutional neural networks approaches.” [Google Scholar]
  5. Yao, Jianping, Son N. Tran, Saurabh Garg, and Samantha Sawyer. “Deep learning for plant identification and disease classification from leaf images: multi-prediction approaches.” ACM Computing Surveys 56, no. 6 (2024): 1-37. [CrossRef] [Google Scholar]
  6. Anand, Khushi, Bhawna Jain, Himanshu Mittal, and Vijay Kumar Yadav. “QEFS: A novel plant disease prediction approach using quantum-inspired evolutionary feature selection.” Applied Intelligence 55, no. 2 (2025): 101. [Google Scholar]
  7. Verma, Daya Shankar, Jitendra K. Mishra, Ankit Kumar, Abdul Khader Jilani Saudagar, and Shambhu Mahato. “VQ‐ Rice: Integrating Variational Quantum Models for Intelligent Rice Disease Classification.” International Journal of Intelligent Systems 2025, no. 1 (2025): 9911441. [Google Scholar]
  8. Al Muntazhar, Ahmad Zaki, Dwi Ratna Sulistyaningrum, Budi Setiyono, and Ridho Nur Rohman Wijaya. “Hybrid Quantum Neural Network for Rice Leaf Disease Classification.” In 2024 International Conference on Electrical, Communication and Computer Engineering (ICECCE), pp. 1-6. IEEE, 2024. [Google Scholar]
  9. Arquam, M. D., Vinay Pathak, Vishwas Tripathi, Rishikesh Panday, and Shashi Kant Singh. “Hybrid Quantum-Classical Algorithms for Neural Network-Based Binary Disease Classification.” In Asian Conference on Intelligent Information and Database Systems, pp. 337-348. Singapore: Springer Nature Singapore, 2025. [Google Scholar]
  10. Das, Shiplu, Debdutta Pal, Debojyoti Bhuinya, Gargi Chakraborty, Panchami Das, and Ayan Chatterjee. “Quantum Convolutional Neural Networks for Enhanced Crop Disease Detection and Management: A Step Towards Intelligent Farming Systems.” In International Conference on Data Management, Analytics & Innovation, pp. 65-79. Singapore: Springer Nature Singapore, 2025. [Google Scholar]
  11. Gunisetti, Loshma, Shirin Bhanu Koduri, Veeraraghavan Jagannathan, and Raja Ramesh Chundru. “Hybrid optimized deep quantum neural network in Internet of Things platform using routing algorithm for detecting smart maize leaf disease.” International Journal of Adaptive Control and Signal Processing 38, no. 8 (2024): 2873-2892. [Google Scholar]
  12. Xu, Zuyu, Yuanming Hu, Tao Yang, Pengnian Cai, Kang Shen, Bin Lv, Shixian Chen et al. “Parallel structure of hybrid quantum–classical neural networks for image classification.” Quantum Information Processing 24, no. 7 (2025): 191. [Google Scholar]
  13. Rahmani, Nasrin, Hossein Ebrahimnezhad, and Erfan Ahmadi. “Enhancing Agricultural Diagnostics: Tomato Leaf Disease Detection Using Quantum Vision Transformer.” AUT Journal of Electrical Engineering 57, no. 2 (Special Issue) (2025): 343-354. [Google Scholar]
  14. Genemo, Musa. “Quantum convolutional neural network for agricultural mechanization and plant disease detection.” In International Conference on Image Processing and Capsule Networks, pp. 225-237. Singapore: Springer Nature Singapore, 2023. [Google Scholar]
  15. Kumar, Krishan, Shiva Mehta, Alka Singh, Tejinder Pal Singh Brar, Harpal Singh, and Vinay Kukreja. “QTransLeafNet: A Quantum-Enhanced and Explainable Deep Learning Framework for Segmentation and Classification of Apple Leaf Diseases.” Applied Fruit Science 67, no. 5 (2025): 336. [Google Scholar]

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