38 results for “sustainable learning”

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Research ArticleOpen accessEvery word in the titleA Hybrid Machine Learning Approach to Predictive Analytics in Precision Agriculture for Sustainable Crop OptimizationJignesh Kariya, Pankaj MudholkarDriven by data-enabled technologies, precision agriculture is evolving into an innovative way to increase agricultural productivity and sustainability. Conventional agricultural practices face several challenges, such as poor soil quality, inappropriate crop selection, improper resource utilization, and unpredictable climate conditions. To address these limitations, this paper proposes a hybrid machine learning framework for sustainable crop optimization and predictive analysis in precision … …Journal of Computer Science, Vol. 22, Issue 10 · 10 Oct 2026 · 865 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleA Conceptual Framework for Efficient and Sustainable Pruning Techniques in Deep Learning ModelsNyalalani Smarts, Rajalakshm Selvaraj, Venumadhav KuthadiThis research paper proposes a conceptual framework and optimization algorithm for pruning techniques in deep learning models, its focus is on key challenges such as model size, computational efficiency, inference speed and sustainable technology development. The aim of the framework is to transition from large neural networks to sparse, efficient models, indicating the benefits of pruning in improving model scalability … …Journal of Computer Science, Vol. 21, Issue 5 · 26 Apr 2025 · 5,268 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleDesign Strategies to Persuasive Learning for Promoting Sustainable Practices in Paddy FarmingZakirah Othman, Amran MuhammadProblem statement: Public awareness of sustainable agriculture is low, especially in organic paddy practices. As alternative, introducing Information and Communication Technology (ICT) application like electronic learning is an effective way to educate and promote the young generation to appreciate sustainable agriculture. Therefore, the main objective of this study is to discuss a design of a prototype of persuasive learning in … …American Journal of Economics and Business Administration, Vol. 3, Issue 1 · 31 Jan 2011 · 7,399 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleSmart Weather Data Management System for Sustainable Agriculture in Maharashtra Using Machine LearningAishwarya V. Kadu, Kuraparthi Tirumala V. ReddyAgriculture will benefit greatly from efficient weather data sustainable management. Data can be utilized to schedule the prediction yield, crop growth, and irrigation. This paper collects real-time meteorological station data via APIs, primarily focusing on the weather data sustainable management system and data related to Maharashtra Wardha, India, which is involved in a live series period. Agriculture can make potential … …Journal of Computer Science, Vol. 21, Issue 7 · 7 Jul 2025 · 3,507 accessesView PDF Cite

Research ArticleOpen accessEvery word in the titleGeneral Bearing of Students with Sustainable Satisfaction in Higher Institution of LearningIlker Etikan, Kabiru Bala, Ismail Taylan BAKIR, Meliz YuvalıThe research study was formulated based on promoting a healthy and conducive environment in other to assist student to get satisfied with the process of learning endeavor. The priority for any University is to create enabling healthy environment for conducive atmosphere for learning to take place in other to give and get the best from their student. This study covers … …Current Research in Biostatistics, Vol. 7, Issue 1 · 5 Oct 2017 · 8,173 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsDevelopment of a Machine Learning Based Mobile and Web Crop Recommendation System for Precision Farming in WardhaAishwarya Kadu, KTV ReddyAgricultural productivity is crucial for economic growth of a nation, especially for countries like India which is highly dependent on agriculture. This study addresses the need for cutting-edge technology to enhance crop productivity by proposing a Mobile/Web-based precision farming system. Leveraging Machine Learning (ML) algorithms, the proposed system recommends optimal crops based on several factors such as environmental parameters (Nitrogen … …Journal of Computer Science, Vol. 22, Issue 3 · 20 Mar 2026 · 1,660 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsA Context-Aware Temporal Convolutional Network for Water Replacement Prediction in Catfish Biofloc Ponds With Imbalanced Event HandlingYaddarabullah, Inanpi Hidayati Sumiasih, Mutiara Dewi PuspitawatiWater replacement is a biologically critical yet under-automated decision in biofloc-based aquaculture systems. Mistimed actions can destabilize microbial ecosystems, elevate fish mortality, and compromise sustainability through excessive water usage. Traditional rule-based heuristics often fail to account for the nonlinear and multiscale dynamics of pond environments. To address this, we propose a Context-Aware Temporal Convolutional Network (CA-TCN), a rare-event classification framework … …Journal of Computer Science, Vol. 22, Issue 3 · 5 Mar 2026 · 1,664 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsEducation to Face the Wicked Challenges of SustainabilityBland TomkinsonProblem statement: The nature of sustainable development requires new paradigms for education. Issues of sustainability are ‘wicked problems’ that do not lend themselves to conventional didactic approaches. The challenge for higher education is to examine interdisciplinary approaches to global societal responsibility and, within this, issues of education for sustainable development. Approach: A project, sponsored by the Royal Academy of Engineering, … …Journal of Social Sciences, Vol. 7, Issue 1 · 18 Dec 2010 · 8,708 accessesView PDF Cite

Research ArticleOpen accessIn the keywordsSustainability Education-A Challenge for South-East Asia and EuropeRenate Kärchner-Ober, Uwe DippelProblem statement: South-East Asia and Europe face rapid changes in social, economical and political terms. Though starting points are different, both regions experience similar problems. We see a strong slowdown of economic growth; changing proportions of the population through migration, natural disasters, economic reasons and aging populations. Problems and conflicts occur in the first decade of the new millennium, as … …Journal of Social Sciences, Vol. 7, Issue 1 · 18 Dec 2010 · 8,630 accessesView PDF Cite

Research ArticleOpen accessIn the abstractMulti-FOM: A Unified Multimodal Deep Learning Framework for Intelligent Pre-Harvest Papaya Classification and Crop ValorisationSovers Singh Bisht, Sanjeev Thakur, Sanjeev PanwarIntelligent pre-harvest crop assessment has become an essential component of precision agriculture, where accurate crop quality evaluation enables informed decision-making and sustainable crop management. However, existing multimodal frameworks often exhibit limited data diversity and insufficient cross-modal semantic interaction, reducing the reliability of intelligent crop valorisation. Address these limitations, this paper proposes a Multimodal Focal-Mamba Optimized Valorisation Model (Multi-FOM), a unified … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 670 accessesView PDF Cite