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- W4385694554 abstract "Using biopesticides in crops is one of the most efficient pest control methods that can diminish the harm of chemicals for the customers and the environment, and also helps to reduce the agricultural production cost. Accordingly, the ongoing project aims at designing a combination Internet of Things and Machine Learning based insect trap system which can detect, monitor, and catch the insects manually or automatically. The IoT device is employed to attract and seize different kinds of insects that can be controlled remotely via the internet and an Android application. An object recognition Machine Learning model is likewise implemented to count the insect quantity in the trap sticky paper. This number will then be sent to the IoT cloud unquestionably for data analytic and storage. Based on this system, farmers can know whether the bio-chemicals used are effective or not and come up with the best solution for their farm." @default.
- W4385694554 created "2023-08-10" @default.
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- W4385694554 date "2023-07-02" @default.
- W4385694554 modified "2023-09-27" @default.
- W4385694554 title "Design an Internet of Things and Machine Learning Based System for Insect Monitoring in Bio-Pesticides Crops" @default.
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- W4385694554 doi "https://doi.org/10.1109/ssp53291.2023.10207962" @default.
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