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Deep learning based automated disease detection and pest classification in Indian mung bean

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Abstract

Crop pests and diseases are major threats to food security globally. The mung bean (Vigna Radiata) is one of the leading crops in India. A large part of the population in India is completely dependent on mung bean. So, high production efficiency for the mung bean is required, which does not happen due to the excessive damage from pests and diseases. Recently, with the advancement of Deep Learning techniques, remarkable performance has been achieved in the field of image classification by employing Convolutional Neural Networks (CNNs). This brings a lot of promise in the field of pest and disease identification by effective image classification. In this paper, we have proposed a novel deep learning-based technique to identify the mung bean pest and disease. In order to handle the limitation arising due to less number of mung bean crop images for the purpose of training, we have adopted transfer learning, which is able to generate a very promising result for quick and easy pest and disease detection. The developed model has successfully recognized 6 different types of mung bean diseases and 4 types of pests out of healthy and affected leaves collected in different seasons. Based on the experiments conducted, the proposed smartphone-based deep learning model for the mung bean pest and disease detection has achieved an average accuracy of 93.65%.

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Acknowledgements

The Department of Science & Technology and Biotechnology, Govt. of West Bengal, (Project Sanction Number: (memo no: 345(sanc)/ST/P/S&T/1-G/2018)) has funded this research work.

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Authors and Affiliations

  1. AKCSIT, University of Calcutta, Kolkata, India

    MD Tausif Mallick, Shrijeet Biswas, Amit Kumar Das & Amlan Chakrabarti

  2. Department of Computer Science and Engineering, Institute of Engineering & Management, Kolkata, India

    Amit Kumar Das

  3. Department of Computer Science, SNEC, University of Calcutta, Kolkata, India

    Himadri Nath Saha

  4. Department of Agronomy, University of Calcutta, Kolkata, India

    Nilanjan Deb

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Correspondence to Amit Kumar Das.

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Mallick, M.T., Biswas, S., Das, A.K. et al. Deep learning based automated disease detection and pest classification in Indian mung bean. Multimed Tools Appl 82, 12017–12041 (2023). https://doi.org/10.1007/s11042-022-13673-7

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