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    IoT and Machine Learning Based Stem Borer Pest Prediction

    Rana Muhammad Nadeem1, Arfan Jaffar2, Rana Muhammad Saleem3,*

    Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1377-1392, 2022, DOI:10.32604/iasc.2022.020680

    Abstract Global climatic changes have severe impacts on agricultural productivity. Enhanced pest attacks on crops are one of the major impacts on sustainable developments in agriculture to come up with the needs of the ever-increasing human population. Early warning of a pest attack is important for Integrated Pest Management (IPM) activities to be effective. Early warning of pest attacks is also important for judicious use of pesticides for efficient use of resources for minimal impacts on the environment. Sugarcane is the major cash crop and is also severely affected by different types of pests. This study proposed stem borer attack prediction… More >

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