Abstract:As new generations of technology appear, legacy knowledge management solutions and applications become increasingly out of date, necessitating a paradigm shift. Machine learning presents an opportunity by foregoing rule-based knowledge intensive systems inundating the marketplace. An extensive review was made on the literature pertaining to machine learning which common machine learning algorithms were identified. This study has analysed more than 200 papers extracted from Scopus and IEEE databases. Searches r… Show more
“…In this case, the system will have greater competence power than the others, resulting in better preference for the users. The limitation of the product will be the limited technology level and limited computation power possessed in the data processing unit [31][32][33][34][35][36][37][38][39]. To reduce the costs of the implementation, the components selected will need to achieve maximum computational power with limited expenses.…”
The integration of Internet of Things (IoT) technologies into agricultural operations, known as smart farming, presents a transformative opportunity to revolutionize traditional farming methodologies and bolster productivity, efficiency, and sustainability within the agricultural sector. This paper investigates the challenges inherent to conventional farming practices, such as inefficient resource utilization and inadequate access to real-time data to inform decision-making. By leveraging an array of IoT sensors and devices are utilized for the purpose of gathering up-to-date information on various aspects such as environment factors and animal natural behaviors, agricultural producers can gain actionable insights, facilitating data-driven decision-making to optimize resource usage and enhance crop yields. The primary objectives of this study encompass enabling automation and precision agriculture to mitigate waste and bolster productivity, while concurrently emphasizing remote monitoring and control capabilities through mobile technologies to augment overall operational efficiency and crop quality. The background underscores the critical importance of integrating IoT technologies into agricultural practices to streamline farm management processes, reduce labour requirements, and increase profitability across all scales of agricultural operations. Through the implementation of IoT-enabled smart farming solutions, this paper endeavors to bridge the divide between advanced technology and practical agricultural needs, offering a cost-effective and user-friendly approach to modernizing farming methodologies.
“…In this case, the system will have greater competence power than the others, resulting in better preference for the users. The limitation of the product will be the limited technology level and limited computation power possessed in the data processing unit [31][32][33][34][35][36][37][38][39]. To reduce the costs of the implementation, the components selected will need to achieve maximum computational power with limited expenses.…”
The integration of Internet of Things (IoT) technologies into agricultural operations, known as smart farming, presents a transformative opportunity to revolutionize traditional farming methodologies and bolster productivity, efficiency, and sustainability within the agricultural sector. This paper investigates the challenges inherent to conventional farming practices, such as inefficient resource utilization and inadequate access to real-time data to inform decision-making. By leveraging an array of IoT sensors and devices are utilized for the purpose of gathering up-to-date information on various aspects such as environment factors and animal natural behaviors, agricultural producers can gain actionable insights, facilitating data-driven decision-making to optimize resource usage and enhance crop yields. The primary objectives of this study encompass enabling automation and precision agriculture to mitigate waste and bolster productivity, while concurrently emphasizing remote monitoring and control capabilities through mobile technologies to augment overall operational efficiency and crop quality. The background underscores the critical importance of integrating IoT technologies into agricultural practices to streamline farm management processes, reduce labour requirements, and increase profitability across all scales of agricultural operations. Through the implementation of IoT-enabled smart farming solutions, this paper endeavors to bridge the divide between advanced technology and practical agricultural needs, offering a cost-effective and user-friendly approach to modernizing farming methodologies.
“…Before a mobile app is released, quality assurance (QA) methods are essential to its success [13]. One of these techniques is having skilled engineers analyse the code to look for errors, security flaws, and potential improvements [18][19][20][21][22][23][24][25]. Usability testing is the next step, in which users engage with the system to find usability problems and evaluate the user interface (UI).…”
Several studies found that Malaysian shopping malls have reported that traffic issues happen when entering malls. We have found out that the traditional car parking system is not fully utilised with advanced technologies. Here, we come out with a smart parking system called Smart Park. Smart Park is the evolution of the car parking system by integrating traditional parking systems, IoT devices and mobile applications together. Smart Park is important as it can overcome the traffic issue happening in car parks in Malaysian shopping malls. The goal of this study is to find a solution to save customers ‘time and enhance customers’ parking experience before entering the mall. We aim to solve public issues of wasting time in finding car parking in shopping malls and using advanced technologies to overcome the issues.
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