Browsing by Author "Onile, Abiodun Emmanuel"

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    Automatic Recognition and Classification of Medicinal Plants: A Review
    (Academic Press, 2019) Ogidan, Olugbenga Kayode; Onile, Abiodun Emmanuel
    Some existing methods for recognizing and classifying medicinal plants are manual, cumbersome, and time-consuming. In this chapter, a comprehensive review of recognition and classification of medicinal plants using Information Communication Technologies (ICT) – Automated Techniques are presented. The study focuses on the recognition and classification of medicinal plant’s leaves using image processing-based and spectroscopic identification techniques. The work reveals that the image processing-based recognition method is more predominant in literature than the spectroscopic method of recognizing medicinal plants. Analysis of previous studies reveals that image processing-based and spectroscopic recognition methods are less cumbersome, faster, and non-destructive when compared to the chemical method. The details of various implementation platforms that are required for effective recognition and classification of medicinal plants are also presented in this chapter. It is believed that with the techniques outlined in this study, more people, including non-experts using electronic devices, would be able to easily recognize and classify medicinal plants. This would offer better insights into their usefulness and conservation for the benefit of the future generation.
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    Smart Irrigation System: A Water Management Procedure
    (Agricultural Sciences, 2019-01) Ogidan, Olugbenga Kayode; Onile, Abiodun Emmanuel; Adegboro, Oluwabukola Grace
    This paper presents a smart irrigation system suitable for use in places where water scarcity is a challenge. In many parts of Africa, even when irrigation is practiced, it is manually operated. Smart irrigation system is thereby believed to be a major solution. The paper therefore presents a smart irrigation system that optimizes the available water in the water reservoir thus providing an ef-ficient and effective water usage solution for the irrigation system. The irriga-tion system is able to automatically start/stop water pumps on the irrigation site based on the soil moisture content acquired from the moisture content sensor as well as the ultrasonic sensor measuring the water level in the reser-voir. The measured sensor values are sent to the Arduino microcontroller for configuring the control algorithm. The system prioritizes irrigation operation by determining the number of pumps to be operated at any instance as well as their locations. In this way, different crops can be watered depending on their varying water requirements. In order to implement the design, a laboratory scale architectural model depicting a farm setting with reservoir, direct cur-rent (DC) pumps and the control unit was constructed. Experimental results revealed good performance which makes the developed system a suitable tool for studies on irrigation.