January 2025

Tomato Leaf Disease Detection with YOLOV8 Leaf Extraction, Resnet-50 Classification, and Gpt-3.5 for Treatment Recommendations

Author(s): Nilesh B Korade*, Mahendra B Salunke, Amol A Bhosle, Gayatri G Asalkar, Dhanashri M Joshi, Aparna S Patil, Sunil M Sangve
Volume: 6 Issue: 1 Pages: 879-891
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02864


Abstract India produces 20 million metric tons of tomatoes annually, with 150,000 metric tons being exported to international markets. India ranks as the leading producer and exporter of tomatoes globally, and tomato farming has a significant contribution to India’s agricultural economy, with millions of farmers relying on tomato farming for their livelihood. Tomatoes are in […]

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Effective CT Lung Image Denoising using Deep-Dense Inception Generative Adversarial Network

Author(s): Narendra Lalchand Lokhande*, Tushar Hrishikesh Jaware
Volume: 6 Issue: 1 Pages: 867-878
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02856


Abstract Computed tomography (CT) is used to visualize body structures and diagnose anomalies, making it an important tool in medical diagnosis and therapy planning. However, imaging techniques such as CT, MRI, ultrasound (US), and PET are frequently hampered by numerous types of noise, including Gaussian, speckle, Poisson variability, and salt-andpepper disturbances. These noises are created

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Newton- Raphson Based Iterative Method for Simulating Nonlinear Equations

Author(s): Inderjeet, Rashmi Bhardwaj*
Volume: 6 Issue: 1 Pages: 857-866
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02852


Abstract This paper presents a comparative analysis of the modified Newton-Raphson technique with other iterative technique, incorporating a damping factor for the numerical simulation of nonlinear equations. The study evaluates the convergence rate, computational efficiency, convergence rate, and accuracy of the modified Newton-Raphson technique in comparison to the existing Newton-Raphson method, the secant method, and

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Role of Anti-Inflammatory Natural Products against Colon Cancer

Author(s): Kalidoss Rajendran*, Sahana RK, Mariraj Murugan, Muthukrishnan P, Haania Ishaq
Volume: 6 Issue: 1 Pages: 841-856
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02755


Abstract It is predicted that colorectal cancer (CRC) will be a major global health concern in 2040, with an estimated 3.2 million new cases. The illness is the result of complex interactions between genetic and epigenetic alterations, such as chromosomal instability and mutations. Colorectal cancer is developed in several stages, with adenomatous precursors taking decades

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Splenic Notches and Morphometrics of Spleen as Tools for Sexual Dimorphism: an Analysis in Pune Region of Maharashtra

Author(s): Shinde Amol A, Agrawal Sakshi, Patel Dinesh K*
Volume: 6 Issue: 1 Pages: 833-840
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02752


Abstract Variations in shapes and morphometry of spleen is seen. Number and location of splenic notches show regional variation. This study is done to determine tools for sexual dimorphism of spleen. 72 spleen of known sex were used from cadavers used for 1st MBBS dissection. Shape, number and location of splenic notches were noted. Length,

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Integrated IoT System for Real-Time Air Quality Assessment in Diverse Environments

Author(s): Sahil S Salvi*, Harish U Tiwari, Sudarshan S Bobade
Volume: 6 Issue: 1 Pages: 1362-1372
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02831


Abstract In response to escalating concerns over air pollution and its adverse health impacts, we present a comprehensive realtime Air Quality Monitoring System utilizing the Internet of Things (IoT). By deploying a network of cost-effective sensors, this system can measure various pollutants such as CO2, CO, smoke, and LPG, transmitting data for analysis to aid

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Comparative Study on Evaporative Cooling, Air Conditioning, and Environment-Friendly Refrigerants

Author(s): Jyoti Soni*, Alok Choube, PK Jhinge
Volume: 6 Issue: 1 Pages: 1341-1361
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02826


Abstract In this research article, a complete analysis of the thermodynamic performance of various refrigerants in air conditioning units is presented, along with a system of evaporative air conditioning that has been suggested for use in a variety of climate situations, including moderately dry, hot, and arid, and humid climates. Most air conditioning systems use

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Structural Analysis and Value Chain Mapping of Sheep Farming in the Sahel

Author(s): Abdou-Fatao Yaya, Atsu Frank Yayra Ihou*
Volume: 6 Issue: 1 Pages: 1328-1340
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02805


Abstract This study investigates the Sahel sheep value chain in the Binah prefecture of Togo, focusing on its organization, structural constraints, and potential for improvement. Utilizing the Value Links methodology, the data were collected through focus groups discussion and individual interviews through the open questions with key actors including breeders, fatteners, livestock traders, feed sellers,

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Self-Attention Augmented Wasserstein Generative Adversarial Network-based Detection of Brain Alzheimer Disease Using MRI

Author(s): SM Zakariya*, Mohammad Sarosh Umar
Volume: 6 Issue: 1 Pages: 1317-1327
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02645


Abstract Alzheimer’s disease (AD) is a progressive neurological condition that leads to dementia. This study presents the SelfAttention Augmented Wasserstein Generative Adversarial Network (SAA-WGAN) for classifying AD stages, utilizing images from the Alzheimer’s disease Neuroimaging Initiative (ADNI). Input images were pre-processed with Fast Guided Median Filter (FGMF) to enhance quality and reduce noise. Data augmentation

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Impact of Microorganisms on Food Spoilage and Human Health: A Comprehensive Review of Advances in Identification using Image Processing and Artificial Intelligence Techniques

Author(s): Mahalakshmi Priya R*, Sumathi M
Volume: 6 Issue: 1 Pages: 1299-1316
DOI: https://doi.org/10.47857/irjms.2025.v06i01.02032


Abstract Food spoilage and human health are greatly affected by microorganisms, such as bacteria, algae, fungi, and protozoa. While traditional identification methods are reliable, they are often laborious and time-consuming. In recent years, artificial intelligence (AI) and image processing have made significant progress in identifying and classifying microorganisms quickly and accurately. In this review, we

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