FMDB Transactions on Sustainable Environmental Sciences
2025 Vol.2 No.1

ISSN: 2998-8446


Editor: S. Silvia Priscila

Pages Title and author(s)
1-14 A Predictive Crop Management System for Precision Agriculture Leveraging Machine Learning Ballela Avinash Reddy, M. S. Bennet Praba, Rachaputi Yeswanth Vardhan, Charan Deepesh Kristam Keywords: Crop Recommendation System; Fertilizer Recommendation System; Yield Prediction System; Crop Prediction System; Ensemble Learning; Authentic Data; Crop Possibility Prediction. DOI: 10.69888/FTSESS.2025.000370
15-26 Model-Based Safety Analysis of Power Electronic Control Using AUTOSAR Safe State Management Siddhesh Pimpale Keywords: Functional Safety; Power Electronics; Systems Engineering; Hazard Propagation; Simulation Scenarios; Safe State Management; Safety Integrity; Electronic Control Units. DOI: 10.69888/FTSESS.2025.000371
27-37 Evaluating the Impact of Quality Indicators on Environmental and Operational Sustainability in Limestone Crushing Processes Harvinder Singh, Swarn Singh, Dinka Lale, M. Shagar Banu, Gümüş Funda Gökçe Keywords: Quality Indicators; Production Activities; Manufacturing Cycle; Operational Sustainability; Good Indicator; Sustainable Production; Sustainable Manufacturing; Environmental Impact. DOI: 10.69888/FTSESS.2025.000372
38-49 Implementation of Sustainable Agriculture in South Papua Food Estate: An Analysis of Economic and Social Impacts on Communities Samel Watina Ririhena, Inez Cara Alexander Phoek, Paul Adryani Moento, Elmira Siska, Alexander Phuk Tjilen Keywords: Economic Impact; Food Estate; Local Communities; Social Impact; Sustainable Agriculture; Regional Food Security; Offer Policy Recommendations; Effectiveness and Sustainability; Economic Development. DOI: 10.69888/FTSESS.2025.000373
50-59 Real-time Air Quality Prediction and Role in Environmental Protection using Machine Learning S. Kannan, Sujai Paneerselvam, M. N. Saroja, Mohammad Ayaz Ahmad Keywords: Air Quality Index; Logistic Regression; Random Forest; Naïve Bayes; Ensemble Learning; Algorithms of Machine Learning; Air Pollution; Levels of Pollutants; Learning Techniques. DOI: 10.69888/FTSESS.2025.000374