INTELLIGENT TRITICUM DISEASE IDENTIFICATION USING DEEP LEARNING AND ENSEMBLE CNN

This paper presented the Intelligent Triticum Disease Identification (ITDI) system, a web-based  wheat disease detection. By combining ResNet-50 and EfficientNet in an ensemble architecture, the system achieves 95% classification accuracy on wheat leaf images The system moves wheat disease diagnosis from slow, expert-dependent field inspections to instant, browser-based analysis accessible from any smartphone or computer. Alongside disease classification, the platform estimates infection severity and delivers actionable treatment and prevention recommendations, empowering farmers with the information needed to act swiftly and effectively. The platform is cost-effective, requiring no additional hardware or technical expertise from end users. It demonstrates how modern deep learning can be practically integrated into agricultural workflows to disease intervention and improved crop productivity.

[1] He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep Residual Learning for Image Recognition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 770–778. https://arxiv.org/abs/1512.03385 [2] Tan, M., & Le, Q. V. (2019). EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks. ICML. https://arxiv.org/abs/1905.11946 [3] Mohanty, S. P., Hughes, D. P., & Salathe, M. (2016). Using Deep Learning for Image-Based Plant Disease Detection. Frontiers in Plant Science, 7, 1419. [4] Ferentinos, K. P. (2018). Deep learning models for plant disease detection and diagnosis. Computers and Electronics in Agriculture, 145, 311–318. [5] Lin, T.-Y., Goyal, P., Girshick, R., He, K., & Dollar, P. (2017). Focal Loss for Dense Object Detection. IEEE International Conference on Computer Vision (ICCV). [6] TensorFlow. (2024). TensorFlow Core Documentation. https://www.tensorflow.org/api_docs [7] Keras Team. (2024). Keras: The Python Deep Learning API. https://keras.io/ [8] Pallets Projects. (2024). Flask: The Python Microframework. https://flask.palletsprojects.com/ [9] SQLite. (2024). SQLite Database Engine Documentation. https://www.sqlite.org/docs.html [10] Bootstrap Team. (2024). Bootstrap 5 Documentation. https://getbootstrap.com/docs/5.0/ [11] Kaggle. (2020). Global Wheat Detection Dataset. https://www.kaggle.com/c/global-wheat-detection