Smart Agriculture: Machine Learning for Disease Detection and Soil Monitoring in Cucumis Sativus Shekhar Kumar Austin Dhomane Tejaswini M Thonge Volume 4, Issue 6, Pages 1-7, June 2025 Cucumber (Cucumis sativus) is an economically important crop worldwide, but its main challenges are various diseases affecting its leaves and fruits. This paper presents a comprehensive review of cucumber leaf diseases, cucumber fruit diseases, impact on marketing strategies and Land recommendation using soil fertility and weather prediction, common diseases like downy mildew, powdery mildew,... Read More Article DOI: doi.org/10.47001/ICJES/2025.406001
Real-Time Workplace Safety Monitoring and Emergency Notification System for Industrial Environments Catherine Mary John Okello Okuto Volume 4, Issue 6, Pages 8-12, June 2025 The research paper has been explored to enhance safety protocols within industrials. This system leverages cutting-edge technologies, including sensors, real-time data analytics, and communication networks, to monitor various safety parameters such as gas concentrations, fire hazards, and structural integrity. The sensors are designed to continuously gather and assess data, enabling the syste... Read More Article DOI: doi.org/10.47001/ICJES/2025.406002
Benchmarking Automated Testing Tools Using a Dynamic Test Case Generation Methodology Benjamin, Olajide W Simon, I.O Volume 4, Issue 6, Pages 13-17, June 2025 Software testing is a critical phase in software development that ensures the quality of the final product. Two primary approaches to testing are human and automated testing, each with its strengths and drawbacks. However, there is no clear consensus on which approach is superior. To address this issue, we propose a hybrid testing framework that combines the strengths of both approaches. Our ... Read More Article DOI: doi.org/10.47001/ICJES/2025.406003
A Comprehensive Review of Brain Tumor Detection and Classification Techniques in Medical Imaging Margaret Eunice Goreti Odwa Thuo Odera Omolo Volume 4, Issue 6, Pages 18-25, June 2025 Aberrant tumors that develop in the brain are called tumors, and malignant tumors are called "cancer." CT scans, MRIs, or positron emission tomography (PET) scans are commonly used to identify malignant brain tissue. This study will focus on the different types of brain tumors, how they are detected, and how to help sufferers detect the cancer early. MRI and PET scans are used to diagnose br... Read More Article DOI: doi.org/10.47001/ICJES406004
Accurate User Identity Verification Using Gyroscope Signatures and Machine Learning Models Latrisha S. Cardinas Lea Jane M. Malificiado Volume 4, Issue 6, Pages 26-30, June 2025 The paper introduces a machine learning-driven approach for biometric signature classification, aimed at identifying and categorizing users based on unique patterns extracted from accelerometer and gyroscope sensor data. This methodology involves capturing user-specific signature data through prescribed movements using sensor-equipped devices. Subsequent feature extraction and machine learnin... Read More Article DOI: doi.org/10.47001/ICJES/2025.406005
