Abstract
In this paper, we present the performance evaluation of VegeCare tool for insect pest classification. We collect the main pests of rice and corn crops for different life cycles. The dataset belongs to 4 categories, which look very similar, but they are different species. Moreover, they have different appearances depending on their life cycle. In some stages of their life, they resemble each other. For this reason, the conventional recognition systems could not detect them precisely. To improve the performance of the insect pest classification, we classify each insect pest by considering every stage of the life cycle. Experimental results show that the proposed tool achieve a good accuracy. We found that the tool can detect corn borer and armyworm which are ambiguous insects. The accuracy is more than 70%.
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Ruedeeniraman, N., Ikeda, M., Barolli, L. (2020). Performance Evaluation of VegeCare Tool for Insect Pest Classification with Different Life Cycles. In: Barolli, L., Okada, Y., Amato, F. (eds) Advances in Internet, Data and Web Technologies. EIDWT 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 47. Springer, Cham. https://doi.org/10.1007/978-3-030-39746-3_18
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