Intelligent Decision Support System for insects Prediction Framework
Abstract: Global climate change refers to changes in the long-term weather patterns that characterize the world's regions. The impact of climate change on agriculture is one of the major factors influencing future food security. Changing in temperature leads to outbreaks of pests and diseases thereby reducing plant production. Predicting plant pests and diseases can protect plants from loss by avoiding and controlling the predicted insects and diseases. This research introduces an Intelligent Decision Support System for insects Prediction Framework (IDSSIPF). The proposed model predicts the period in which insects can affect the plant, in addition to alarming farmers about the needed actions to mitigate climate change. IDSSIPF was experimented with to predict the affected insect period in 2019 years. The result of the experiment shows that the prediction started from a real infection period. so decision-makers can use IDSSIPF to mitigate the insects and avoid crop loss and increase productivity. Comparing the prediction results of IDSSIPF with the real periods in 2019, the accuracy of IDSSIPF is 86%.
Publication year 2022
Pages 463-470
Organization Name
serial title International Journal of Intelligent Systems and Applications in Engineering
Author(s) from ARC
External authors (outside ARC)
    Sayed Abdel Gaber Helwan University
    Mona Nasr Helwan University
Publication Type Journal
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