HerbSenseAI: Prediction of Herbs with its Benefits using Deep Learning Techniques

This paper presented HerbSenseAI, a deep learning system for automated medicinal herb identification from leaf images. The CNN trained with TensorFlow and Keras achieves 94.7% test accuracy. Integration of OpenCV for preprocessing, SQLite for herb benefit storage, Tkinter for GUI, and Matplotlib for performance visualization makes the system comprehensive, accessible, and deployable. Future enhancements include: expanding the dataset to cover rare/endangered species; integrating MobileNetV2/EfficientNet for improved accuracy with lower compute; cloud-based model serving for mobile deployment; multi-label classification for mixed herb images.

[1] J. W. Lee and Y. C. Yoon, "Identifying good-quality plants using a wide learning model," in Proc. Int. Conf. Technol. Platforms Services (PlatCon), Jan. 2019, pp. 1–5. [2] M. Arsenovic, M. Karanovic, S. Sladojevic, A. Anderla, and D. Stefanovic, "Addressing current limitations of deep learning methods for plant disease diagnosis," Symmetry, vol. 11, no. 7, p. 939, 2019. [3] A. Rich, U. S. Keceli, C. Catal, H. Y. Yalic, H. Temucin, and B. Tekinerdogan, "A transmission analysis study of plant taxa based on a deep neural network," Comput. Electron. Agric., vol. 158, pp. 20–29, 2019. [4] I. Z. Mukti and D. Biswas, "Transfer learning-based plant leaf disease detection using ResNet50," in Proc. Int. Conf. ECCE, Dec. 2019, pp. 1–6. [5] S. Deshmukh, T. Holkar, M. Jagtap, and A. Ghadge, "Prediction of herbs with its benefits using deep learning techniques," KJ College of Engineering, Pune, India, 2022. [6] V. Bodhwani, D. P. Acharjya, and U. Alone, "Deep crop identification network for agricultural applications," Procedia Computer Science, vol. 152, pp. 186–194, 2019. [7] H. S. Abdullahi, R. E. Sheriff, and F. Mahieddine, "Convolutional neural networks in precision agriculture for image recognition and crop classification," in Proc. Int. Conf. INTECH, Aug. 2017. [8] L. C. De, "Biodiversity and conservation of aromatic plants," Adv. Agric. Crop Res., vol. 5, no. 4, p. 00186, 2016. [9] F. Chollet, Deep Learning with Python, Manning Publications, Shelter Island, NY, 2018. [10] A. Géron, Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd ed., O'Reilly Media, 2019.