Intelligent Agricultural Structure for Direct Engagement between Farmers and Consumers Deepika S. Wankhed Volume 2, Issue 10, Pages 1-4, October 2025 The Family Farmer project is an intelligent, web-based agricultural framework that aims to link farmers directly with consumers, effectively removing intermediaries. The agricultural system in India suffers from inefficiencies, where farmers receive minimal profits while consumers incur high costs for non-organic produce. This research advocates for an integrated digital platform that promote... Read More Article DOI: doi.org/10.47001/CJESR/2025.210001
Protocols for Privacy-Preserving Computing that Safeguard the Inputs of All Participants M.D.Kulkarni Sumit Kadam Volume 2, Issue 10, Pages 5-12, October 2025 This paper examines the analysis of cryptographic protocols that enable two or more parties to compute functions based on their shared inputs without revealing those inputs in their original format. This aspect is a crucial component of Secure Multi-Party Computation (SMPC). The security provided by safeguarding data during computations allows participants to execute calculations while mainta... Read More Article DOI: doi.org/10.47001/CJESR/2025.210002
Employing Deep Learning Approaches for the Automated Diagnosis and Management of Wheat Plant Diseases Mwangi Kariuki Everlyne Nzisa Volume 2, Issue 10, Pages 13-18, October 2025 The necessity for automated diagnosis and management of diseases affecting wheat plants is increasingly acknowledged by professionals in agriculture. Accurate identification of foliar diseases in wheat is crucial for the development of effective crop management strategies. This study presents the Wheat Leaf Convolutional (WLC) model, which enhances the VGG16 architecture, with the objective o... Read More Article DOI: doi.org/10.47001/CJESR/2025.210003
Optimized Chest X-Ray Image Processing for Accurate Automated Disease Detection Olumide Adebayo Ibrahim Musa Volume 2, Issue 10, Pages 19-22, October 2025 The role of medical imaging is pivotal in the diagnosis of numerous diseases, particularly respiratory conditions. However, noise artifacts, including salt-and-pepper noise and Gaussian noise, can significantly impair the quality of chest X-ray (CXR) images, potentially resulting in misdiagnoses. This research aims to improve CXR images by employing noise removal techniques followed by histog... Read More Article DOI: doi.org/10.47001/CJESR/2025.210004
An End-to-End Machine Learning Framework for Automated Wine Quality Prediction Dewa Rudy Jatayu Volume 2, Issue 10, Pages 23-28, October 2025 Deploying machine learning (ML) models in real-world production environments presents significant challenges due to workflow complexity, integration demands, and scalability requirements. This study proposes a comprehensive solution by integrating Machine Learning Operations (MLOps) practices with the computational scalability and flexibility of AWS EC2 infrastructure. The developed system es... Read More Article DOI: doi.org/10.47001/CJESR/2025.210005
