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Optimized deep learning system for smart maize leaf disease detection in IoT platform via routing algorithm

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Abstract

Automatic recognition of leaf disease in plant is a difficult task in trending intelligent agriculture because of the variances of appearances and surroundings of crop diseases. In this paper, initially, the IoT nodes are simulated for gathering leaf information and the gathered information is transmitted through the optimal routes where the routes are selected using developed Competitive Shuffled Shepherd Optimization (CSSO) algorithm. The CSSO algorithm is designed by the integration of Competitive Swarm Optimizer (CSO) and Shuffled Shepherd Optimization algorithm (SSOA) for selecting the optimal path. The Leaf disease detection process is performed in the base station, where the detection process includes, pre-processing, feature extraction and disease detection. The pre-processing is carried out though ROI extraction, and the features, like Convolutional Neural Network (CNN) features, statistical features and energy texture features is employed to extract the relevant features. Finally, the maize leaf disease is detected from the extracted features using Deep Quantum Neural Network (Deep QNN), where the weight of Deep QNN is trained using developed CSSO algorithm. The experimental result demonstrates that the developed method outperforms than the existing methods based on the accuracy, sensitivity, specificity, F-Measure, energy, and delay of 95.037%, 96.404%, 93.35%, 95.12%, 99.9 J and 11.3 s, respectively.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Sri Vasavi Engineering College, Pedatadepalli, Tadepalligudem, India

    Loshma Gunisetti & Shirin Bhanu Koduri

  2. Senior Software Developer, Bharat Clouds Private Limited, Chennai, India

    Veeraraghavan Jagannathan

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  1. Loshma Gunisetti
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  2. Shirin Bhanu Koduri
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  3. Veeraraghavan Jagannathan
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Gunisetti, L., Koduri, S.B. & Jagannathan, V. Optimized deep learning system for smart maize leaf disease detection in IoT platform via routing algorithm. Multimed Tools Appl 82, 13533–13555 (2023). https://doi.org/10.1007/s11042-022-13775-2

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