Diseases on maize crops are highly caused by chronic and emerging pathogens that results in stagnant growth in the plant system. Several initiatives have been adopted to manage disease on crops which include new cultivation ...

The prevalence of cyber security threats, such as the Android Zero-day vulnerability, is becoming increasingly worrisome. With the widespread use of Android-powered mobile devices, attackers are leveraging zero-day ...

Internet of Things (IoT) refers to the overall network of linked devices as well as the technology that enables communication between connected devices and the cloud. This technology is flexible and the best technology to ...

Machine learning techniques have become an essential part of research into the detection and classification of malicious applications. There are several approaches or algorithms that learn from existing data and predict ...

Due to their physical and psychological effects on patients, skin diseases are a major and worrying problem in societies. Early detection of skin diseases plays an important role in treatment. The process of diagnosis and ...

Vehicle based logistics are hinged on their ability to timely deliver goods, services, and people. The classical expression of “time is money” comes alive in the logistics industry yielding potentially huge financial and ...

In most real-time scenarios such as emergency first response or a patient self-monitoring using a wearable device, likely, accessing a healthcare physician for assessing potential vital sign anomalies and providing a ...

Bird sound classification is an important task in the implementation of automatic farm monitoring systems, as many birds are harmful threats to crop farms, especially maize, sorghum, and rice farms. The ability to automatically ...

Over the Sahel region, air temperature is anticipated to rise by 2.0 to 4.3 ∘C by 2080. This increase is likely to affect human life. Thus, air temperature forecasting is an important research topic. This study compares ...

Conventional plant disease detection approaches are time consuming and require high skills. Above all, it cannot be scaled down to smallholder farmers in most developing countries. Using low cost IoT sensor technologies ...