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Real-time automatic detection and classification of groundnut leaf disease using hybrid machine learning techniques

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Abstract

Generally, an early and accurate detection of plant diseases is important for sustainable growth of agricultural productivity. Anthropologists rely on plant defects caused by diseases, pests, poor nutrition or severe weather. It is expensive, time consuming and in some cases impractical. However, since recent classifiers are not parametric, more data is needed to solve the problem. Calculating the optimal solution is very costly for large databases, which reduces system performance. To counter these problems, in this paper, we propose IoT based real-time automatic detection and classification technique of groundnut leaf disease using hybrid machine learning techniques (GLD-HML).First, we segment the disease area from leaf using improved crow search (ICS) algorithm which is an important aspect for disease classification. Second, we introduce a multi-objective sunflower optimization (MSO) algorithm for optimal feature selection from multiple extracted features in feature extraction stage. Then, we illustrates moth optimization based deep neural network (MO-DNN) for diseases classification in Groundnut leaf with multi-classes. IoT concept used to transfer classification results to the corresponding former through mobile for crop growth, which limits the unwanted human delay. Finally, the performance of proposed GLD-HML method can analyze with different standard datasets and the results should sows the effectiveness of proposed method over existing methods in terms of accuracy, precision, F-measure and precision.

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Data availability statement

The already existing algorithms data used to support the findings of this study have not been made available.

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  1. Department of Computer and Information Science, Annamalai University, Chidambaram, Tamil Nadu, India

    Suresh & K. Seetharaman

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  1. Suresh
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  2. K. Seetharaman
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Suresh, Seetharaman, K. Real-time automatic detection and classification of groundnut leaf disease using hybrid machine learning techniques. Multimed Tools Appl 82, 1935–1963 (2023). https://doi.org/10.1007/s11042-022-12893-1

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