Precision agriculture is facilitated by this groundbreaking study, which integrates ResNet deep learning technology with blockchain technology. A high-resolution image of a plant can be used to identify a plant's stress indicators using ResNet-101's sophisticated image processing capabilities. Furthermore, it utilizes blockchain's secure, transparent framework for data management, meeting the critical need for data integrity and transparency in real time. Feature extraction and normalization are performed using a centralized hub in the model. Data is then seamlessly integrated into a blockchain, ensuring a tamper-proof, decentralized system. In addition to improving efficiency and accuracy in agricultural data processing, this model also promises to revolutionize agricultural practices, offering significant benefits throughout the entire supply chain by combining ResNet-101 image analysis with blockchain security.

Ahmed, R. A., Hemdan, E. E. D., El-Shafai, W., Ahmed, Z. A., El-Rabaie, E. S. M., and Abd El-Samie, F. E. (2022). Climate-smart agriculture using intelligent techniques, blockchain and Internet of Things: Concepts, challenges, and opportunities. Transactions on Emerging Telecommunications Technologies, 33(11). https://doi.org/10.1002/ett.4607

Akella, G. K., Wibowo, S., Grandhi, S., and Mubarak, S. (2023). A Systematic Review of Blockchain Technology Adoption Barriers and Enablers for Smart and Sustainable Agriculture. Big Data and Cognitive Computing, 7(2), 86. https://doi.org/10.3390/bdcc7020086

Arshad, J., Siddique, M. A. B., Zulfiqar, Z., Khokhar, A., Salim, S., Younas, T., Rehman, A. U., and Asad, A. (2020). A Novel Remote User Authentication Scheme by using Private Blockchain-Based Secure Access Control for Agriculture Monitoring. 2020 International Conference on Engineering and Emerging Technologies, ICEET 2020, July. https://doi.org/10.1109/ICEET48479.2020.9048218

Bhat, S. A., Huang, N. F., Sofi, I. B., and Sultan, M. (2022). Agriculture-Food Supply Chain Management Based on Blockchain and IoT: A Narrative on Enterprise Blockchain Interoperability. Agriculture (Switzerland), 12(1). https://doi.org/10.3390/agriculture12010040

Demestichas, K., Peppes, N., Alexakis, T., and Adamopoulou, E. (2020). Blockchain in agriculture traceability systems: A review. Applied Sciences (Switzerland), 10(12), 1–22. https://doi.org/10.3390/APP10124113

Doktorgrades, E. (n.d.). Assessing Information Security Awareness in Organizations.

Furnell, S., Bada, M., and Kaberuka, J. (2023). Assessing Organizational Awareness and Acceptance of Digital Security By Design. Journal of Information Systems Security, 19(1), 3–18.

Kasan, K. T., Kasan, Y. T. H., and Fadare, S. A. (2023). Agriculture 4.0: Impact and Potential Challenges of Blockchain Technology in Agriculture and Its Management. Russian Law Journal, 11(8s). https://doi.org/10.52783/rlj.v11i8s.1356

Krithika, L.B., (2022). Survey on the Applications of Blockchain in Agriculture. Agriculture (Switzerland), 12(9). https://doi.org/10.3390/agriculture12091333

Lin, W., Huang, X., Fang, H., Wang, V., Hua, Y., Wang, J., Yin, H., Yi, D., and Yau, L. (2020). Blockchain Technology in Current Agricultural Systems: From Techniques to Applications. IEEE Access, 8, 143920–143937. https://doi.org/10.1109/ACCESS.2020.3014522

Mandela, S., Naga, R., Jagan, V., and Naik, M. C. (2023). Blockchain-based consensus for a secure smart agriculture supply chain. May.

Mitchell, O. and Osazuwa, C. (2024). Confidentiality, Integrity & Availability in Network Systems : Review of Related Literature. Jan. https://doi.org/10.5281/zenodo.10464076

Salam, S. and Kumar, K. P. (2021). Survey on Applications of Blockchain in E-Governance. Revista Gestão Inovação e Tecnologias, 11(4), 3807–3822. https://doi.org/10.47059/revistageintec.v11i4.2409

Saurabh, S. and Dey, K. (2021). Blockchain technology adoption, architecture, and sustainable agri-food supply chains. Journal of Cleaner Production, 284, 124731. https://doi.org/10.1016/j.jclepro.2020.124731

Shih, S-C and Chiu, B-H. (2023). Willingness of Farmers to Adopt Blockchain Technology in Smart Agriculture. Journal of Economics, Finance and Accounting Studies, 5(4), 24–34. https://doi.org/10.32996/jefas.2023.5.4.3

Sharma, A., Jhamb, D., and Mittal, A. (2020). Food Supply Chain Traceability by Using Blockchain Technology. Journal of Computational and Theoretical Nanoscience, 17(6), 2630–2636. https://doi.org/10.1166/jctn.2020.8958

Vyas, S., Shabaz, M., Pandit, P., Parvathy, L. R., and Ofori, I. (2022). Integration of Artificial Intelligence and Blockchain Technology in Healthcare and Agriculture. Journal of Food Quality, 2022. https://doi.org/10.1155/2022/4228448

Wu, C.-H. (2023). An Empirical Study on the Application of Blockchain Technology in E-Agriculture. Journal of Global Information Management, 31(3), 1–20. https://doi.org/10.4018/jgim.326128