Isabela State University Linker: Journal of Engineering, Computing and Technology

Spring Onion Disease Detection and Treatment Recommendations

Nel Panaligan, Nikko R. Talaid — Tue, 31 Dec 2024 00:00:00 +0000

Spring onion is a delicate crop that demands much attention during its cultivation. Diseases such as purple blotch and leaf blight affect spring onion crops and, in any case, prevention of these diseases is rather complicated to detect. The study aimed to diagnose the diseases correctly and make suitable recommendations on the treatment needed. The researchers conducted a focused group discussion among spring onion farmers in Davao del Sur as a basis for the Android app that can identify spring onion disease and offer recommendations. In developing the app, the researcher used Google Colab for dataset training. The technique used in choosing the survey participants is simple purposive random sampling and a self-constructed checklist based on the ISO 9124 Likert scale was utilized to rate the app's functionality, reliability, and usability. The app is ideal for small and big farmlands, especially in regions without an internet connection, and during an experimental test, it gained an accuracy of 90% in the purple blotch and 93% in leaf blightcaptured crop diseases within a three-inch distance capture. The significant results of this study include the application's ability to detect two types of diseases, namely purple blotch and leaf blight, and its ability to provide personalized treatments, such as recommendations, chemical treatments, and care tips, based on the specific disease detected. The app's contribution to the farming community is its ability to detect crop diseases early, simplify disease detection techniques, increase harvests, decrease chemical use, and prevent minor spring onion problems that could result in major outbreaks and damage large farmlands.

HydroNutriGuard: A Mobile-Based Hydroponics Nutrient Tracker with Recommender System for Lettuce

Renalyn G. Tecson, Josephine Mary Mateo, Jessica Tamani, Erica Embat — Tue, 31 Dec 2024 00:00:00 +0000

This project focuses on developing and evaluating a mobile-based application to have an efficient and timely way of tracking remotely the nutritional content of the hydroponics solution for lettuce. The researchers designed an IoT-based sensor to detect the values of nitrogen (N), phosphorus (P), potassium(K), and water solution levels, which are among the hydroponic nutrients that are very vital to monitor to properly manage the hydroponic nutrient system. The NPK values acquired by the sensor were transmitted to the cloud server, which then displayed in the mobile application in a graphical format with color coding for the growers to easily interpret the result and recommend a solution if it detected a nutrient deficiency. Moreover, when the ultrasonic sensor detects that the hydroponics have reached the critical level of water for the plants to grow, it will automatically pump water solution from the reservoir. The mobile application was initially evaluated by 17 horticulture students and 2 agriculture faculty members who studied hydroponics with field exposure and manually checked the nutrients in the greenhouse through readily available devices in the market. It was also tested and evaluated using the mobile application acceptance model and obtained a grand mean of 3.93. This implies that the mobile application met the needs and expectations of the evaluators, hence, it is believed that using the mobile app ensures that the nutrient levels are well-guarded and maintained at optimal levels.

Evacuation Operation Management System Using Multi-Objective Artificial Bee Colony

Archieval Jain, Albert A. Vinluan, Renato A. Villegas — Tue, 31 Dec 2024 00:00:00 +0000

Disaster risk reduction and management organizations create evacuation plans to make sure that impacted persons are swiftly and effectively moved to safer locations, like evacuation centers or shelters. This plays a crucial role in reducing the amount of fatalities and damage brought on by disasters. Disaster situations are characterized by a high degree of unpredictability, which makes it difficult to improve disaster relief efforts. Specific issues that develop during and after catastrophes should be able to be managed by the organization in charge of disaster management activities. This study developed a web-based mobile application that can be used as a system for emergency evacuation management. The Multi-Objective Artificial Bee Colony (MOABC) algorithm is considered to find optimal solutions to emergency evacuation sheltering. Upon trials with 80 test data each, it shows that an accuracy of 88.75% to 93.75% was gained. It can be concluded that the use of MOABC in identifying evacuation centers is an effective method for optimizing the multi-objective problem with parameters of population size and evacuation capacity. Additionally, the study presented the process of navigating the system wherein the users can easily identify the available evacuation centers. The study recommends integrating the Pareto-based ABC approach to seek better optimal solutions for evacuation optimization problem applications. Future work could also focus on the improvement of encoding and representation of solutions for spatial optimization problems.

E'MELON: Android-Based Watermelon Leaf Disease Detection and Remedy Using TensorFlow and CNN

Nel Panaligan, Carl O. Mantoya — Tue, 31 Dec 2024 00:00:00 +0000

The early detection of watermelon leaf diseases is crucial for effective crop management, yet traditional methods are labor-intensive and require technical expertise. This study aimed to develop an Androidbased application using TensorFlow and Convolutional Neural Networks (CNN) to detect and remedy watermelon leaf diseases. The CNN-based software leverages image classification techniques to enhance accuracy and reduce the complexity of previous algorithms. The application was evaluated by 19 randomly selected participants using the ISO/IEC 9126 Software Quality Model, resulting in a weighted mean accuracy score of 4.42, which corresponds to good, which highlights that most respondents agree that the Android application effectively identifies watermelon diseases and provides appropriate treatment recommendations. This rating was determined based on specific criteria such as functionality and reliability. However, the classifier's performance needs improvement, particularly in distinguishing between similar disease symptoms. Feedback from watermelon experts and farmers indicated that while the application is promising, enhancements needed on the delivery of specific data for certain disease categories are needed for ease of understanding. The findings highlight the potential of mobile-based applications in agricultural disease management and the need for further refinement to achieve higher precision.

QSUM-eASys: A Face Recognition Attendance and Web-Based Attendance Monitoring System for Quirino State University Maddela Campus

Winston Domingo, Zarianne Joy M. Ladia — Tue, 31 Dec 2024 00:00:00 +0000

Attendance monitoring is a vital task in any organization. Attendance data helps keep track of the absenteeism of any employee. The QSUMeASys: A Face Recognition Attendance and Web-Based Attendance Monitoring System is a web-based application that manages the attendance records of the Quirino State University – Maddela employees. At present, a face recognition with biometrics was the device used to get the attendance of the employees through a face recognition program. However, the device only generates an attendance summary of the employee, date, time, and other details which were not suitable for the filing and reporting of the employee attendance. Hence, this research developed a web-based system that will integrate the data produced by the biometrics to generate a report that will be uniform and understandable by the end users. The agile Iterative Model of the Software Development Life Cycle was adapted from the business understanding and requirements elicitation phase to testing the developed face recognition attendance and web-based attendance monitoring system. Based on the findings, the researchers concluded that the developed computerized system helps the processing officer in checking and monitoring attendance, especially during the time-in and the time-out of QSU staff. This can serve as basis for the preparation of the payroll registry for a certain cutoff. The security of the employee attendance system is important to ensure that employees do not commit fraud in recording attendance and monitoring activities during working hours.

Cloud Computing Services: A Comparative Study of Its Features

Jyvann Jacinto Pascual, Edward B. Panganiban — Tue, 31 Dec 2024 00:00:00 +0000

Cloud computing has become a continuously growing platform and revolutionized how users can use and access technology. Due to its emergence, cloud computing has instigated the continuing technological development occurring within society, particularly in providing ease of service in daily routines. Cloud computing consists of various platform services, commonly seen nowadays, such as IAAS, PAAS, and SAAS. As the brink of technological advancement emerges within society, the more cloud computing continues to play an integral role. This paper explored how cloud computing services have revolutionized access to technology, with offerings ranging from basic storage and processing power to artificial intelligence. Cloud computing has revolutionized access to and utilization of technology, significantly influencing societal and organizational operations. This paper provided a comparative analysis of three primary cloud computing service models—Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). These models vary in scalability, cost-efficiency, and user control, making them suitable for diverse applications. By enabling on-demand access, reducing infrastructure costs, and improving operational flexibility, cloud computing models have transformed various industries such as e-commerce, healthcare, and education. This study offers a clearer understanding of their characteristics and broader implications for businesses and technology users, emphasizing the strategic advantages of adopting cloud solutions.

CERS Algorithm: An Enhanced Security System Using Hybrid Cryptosystem

Tue, 31 Dec 2024 00:00:00 +0000

Communication and information exchange through the internet have a significant risk of information leakage owing to security issues. In this paper, a new hybrid cryptosystem design is proposed in order to accomplish high-security communication. The Schnorr authentication algorithm is used in this research to ensure a high degree of data security and authentication by integrating RSA, El Gamal, and Chaos-based cryptosystems. The process begins with El Gamal's key generation scheme. El Gamal is well-known for its ability to compute complex discrete logarithms, and when paired with RSA, its abilities are dependent on the difficult process of factorization of large prime integers. Multiple key schemes were generated using the chaotic system. Finally, the Schnorr was utilized to verify the original sender of the message.

Benefits and Challenges of Adopting Serverless Architectures and Function-as-aService (FaaS) for Developing and Deploying Web Services

Jessa Revilla-Dave, Edward B. Panganiban — Tue, 31 Dec 2024 00:00:00 +0000

Web services are everywhere in today’s technology acting as the backbone for many applications across diverse industries. It affects how applications are planned, presented, created, and implemented. Serverless architecture promotes flexibility in software development, allowing developers to design and develop components independently and scale them horizontally on demand. This approach has given rise to Function-as-a-Service (FaaS) in the world of cloud computing. FaaS and serverless architecture both support agility, can quickly cycle in the process of software or application development, and seamlessly integrate services and functions into existing workflows, thus having minimal effort or without overhauling the entire technology stack from top to bottom. It empowers organizations to innovate their technology stack to meet today’s demands and/or business needs. On the other hand, implementing innovative systems with cutting-edge technology has its difficulties such as but not limited to complexity in administration, volatility in performance, and vendor lock-in. Highlighting the key tradeoffs between system performance and agility to emphasize balancing the organization’s decisions in adapting a serverless architecture, this paper review aimed to examine the benefits and challenges of serverless architectures and FaaS paradigms in the context of web service development and deployment. Strategies for mitigating vendor lock-in and approaches to optimizing performance without sacrificing scalability are critical for organizations striving to enhance their systems. These strategies provide organizations with valuable insights and practical guidance, serving as a roadmap for navigating serverless computing while addressing common pitfalls to maximize its potential.