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Smart Intelligence Perspective and Integrating AI with the Power System
The confluence of Artificial Intelligence (AI) and energy frameworks has become a focal point in contemporary research, driven by the imperative to innovate and advance our energy systems. The book chapter delves into the nuanced relationship between AI and these systems, highlighting its opportunities for improved performance, resilience, and environmental conservation. Central to this exploration is the elucidation of AIs transformative potential in energy dynamics, spanning areas such as machine learning, deep learning, neural architectures, and foresight modelling. The chapter portrays diverse AI-driven applications, emphasising their transformative capabilities in steering energy strategies. Insights into the multifaceted advantages of integrating AI into energy frameworks are presented, stressing augmented stability, amplified efficiency, fiscal savings, and forward-thinking outage resolutions. Based on real-world examples, the research highlights the value of integrating AI into energy strategies. It also identifies new paradigms in the evolving energy landscape that will shape our energy future. This underscores AIs crucial role in driving energy transformations and calls for collaboration among academia, decision-makers, and industry leaders to create a greener, more efficient energy path. The importance of data analytics in managing power system data, enabling insights into consumption trends, and assisting in making educated decisions is also covered in this chapter. In order to ensure a responsible and secure implementation, the ethical and privacy issues associated with AI deployment in the power sector are also addressed. Furthermore, the chapter elaborates on the prospective trajectory of AI within Power Systems, elucidating its involvement in quantum computing, edge computing, and the incorporation of IoT to facilitate Microgrid Management. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Empowering a Sustainable Future: Blockchains Role in Economy, Organizations, and Finance Towards Smart Circular Economy
In the present era, blockchain is considered as driving force reshaping the global economy. It is redefining the organizational structure and the business activities and revolutionizing the financial market. Blocking-based technologies also have immense potential to address climate change, concerns, and resource constraints. This chapter provides insights into the multifaceted role of blockchain in driving sustainable development goals by fostering transparency, improving accountability, and integrating sustainability across organizational and financial domains. It analyses the blockchain potential to strengthen financial sustainability through decentralized finance, an equitable financial system. Further, it also highlights the instrumental role of blockchain by improving the supply chain, transparency, corporate governance, and incorporation of environmental, social, and governance (ESG) principles into the business model. Moreover, this chapter discusses the alignment of blockchain with the United Nations sustainable development goals, highlighting its potential to address, pressing issues such as resource efficiency, climate, change, and inequality. It critically assesses the various challenges in the adoption of blockchain and underscores its importance in achieving long-term sustainability goals. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Biofortification and Sustainable Intensification of Soil: Perspectives on Rice Cultivation in India
Biofortified crops have inherently been known to acquire climate-smart traits and stress resilience. Climate-smart agriculture integrates climate change into the planning and implementation of sustainable agricultural strategies. Biofortification is a climate-smart concept that enhances crop nutrient quality and quantity through conventional breeding, agronomic practices, or genetic engineering. It will enrich food availability, stability, accessibility, and utilization and positively impact the health, livelihood, production, and distribution of food crops. The system of rice (Oryza sativa L.) intensification involves a set of agronomic principles to improve the structure and functioning of the soil system by fortifying it with organic matter and micronutrients. With the exceeding urbanization and population explosion, food security is a primary concern for policymakers all around the globe. Widespread zinc, iodine, iron, and selenium micronutrient malnutrition is a significant cause of numerous health problems in human populations where rice is part of the staple diet. Climate-smart biofortification is a durable and effective option to reach the vast numbers of malnourished populations scattered across the world sustainably. Approaches have been strategized worldwide under rice biofortification research projects for maintaining, increasing, and introducing new micronutrients in rice grain. Biofortification has been safely implemented as an environmentally friendly approach to produce higher yields at low costs without undesirable soil effects. Prospective advancements can be achieved by integrating mineral and organic fertilizers with superior germplasm, promoting improved nutrient uptake and localization in the consumed parts of the crop. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Revolutionizing Road Transportation: The Role of Artificial Intelligence in Smart and Efficient Systems
This chapter is about how AI is transforming road transportation by improving efficiency, safety, and comfort. By emphasising the importance of AI integration and moving on to main AI technologies such as machine learning (ML) for applications like traffic prediction and autonomous driving. Deep learning techniques, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), are essential for vehicle detection and traffic analysis. Also, natural language processing (NLP) enhances traffic planning and customer support by providing real-time information and virtual assistants. We can also know from the chapter that AI applications like self-driving cars that use AI for vision and control, intelligent traffic management systems that optimise signal timings, and predictive maintenance to avoid vehicle problems. It also discusses data privacy, technology, and ethics questions, as well as demonstrates effective real-world AI deployments and future trends. Overall, the chapter emphasises AIs disruptive impact on road transport and its potential for ongoing innovation and improvement in the pursuit of a smarter, more efficient transportation network. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Smart Traffic Systems: Revolutionizing Road Transport with AI and Image Processing
In the past few years, Big data, machine learning, and artificial intelligence (AI) inclusion have changed the dynamics in various industries, including road transport. This research explores machine learning and artificial intelligence in road transportation, accentuating the advanced image processing methods. We apply these technologies to enhance how traffic is managed, how safe vehicles are operated, and how the most efficient routes are planned. This study also expands to various techniques and methods for analysis, such as image processing, object recognition, and recognition systems, and is effective in implementation. Through extensive experiments and several case studies, we have shown substantial improvements in accuracy and efficiency achieved when image processing in road transport, including machine learning and artificial intelligence. This study points out the tremendous prospects posed by these technologies in shaping the future of transport and suggests further developments and applications. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Pathways for Sustainable Food Security: Status, Challenges, and Opportunities in Developing World
Food security is a significant concern in developing countries because of the dense population of disadvantaged individuals, insufficient food resources, and restricted availability of retail options. Food availability, quantity, and consumption are significantly influenced by social conditions. This study aims to analyze the present circumstances, challenges, and potential prospects in order to suggest pathways towards achieving sustainable food security in developing countries. The study utilizes a comprehensive approach to identify the vital societal elements that impact food security, through the analysis of pertinent literature and case studies from multiple nations. The variables encompass affluence, gender, education, social capital, and culture. This study investigates the causal relationship between these variables and the occurrence of food insecurity. It proposes strategies that foster sustainable agriculture, social protection, community empowerment, and gender equality as potential remedies. The report asserts that addressing the socioeconomic determinants impacting food security is crucial for emerging nations to attain sustainable food security. Attaining sustainable food security necessitates a comprehensive approach that acknowledges the significance of social factors and focuses on the holistic well-being of individuals. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Factors Influencing Purchase Intention of Organic Coffee
This study looks at the variables affecting Indian customers propensity to buy organic coffee. Drawing on the Theory of Planned Behavior (TPB) and considering the unique cultural context of India, the study integrates a multi-dimensional framework, incorporating personality, attitude, lifestyle, subjective norm, collectivism, perceived behavioral control, perceived consumer effectiveness, and environmental concerns, to analyze the dynamics of organic coffee purchase intention. Data was gathered from a representative sample size of 420 Indian coffee customers making use of a formal questionnaire and analyzed using statistical tools such as SPSS and Amos. Our findings show a favorable relationship between purchase intention with attitude, collectivism, and environmental concern. This study has implications for both research and practice. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
The Future of Banking: Leveraging AI for Business Transformation
Artificial intelligence (AI) has moved the banking sector into a new era, offering unmatched channels to improve efficiency, risk management, and customer experiences. The research delved into the role of AI in banking, particularly the applications, challenges, and implications. Descriptive research design is used to describe the acceptance rate of banking customers toward leveraging AI in Banking transactions through theTechnology Acceptance Model (TAM) to prove the hypothesis thatAttitude Towards Using AI mediates the individual effects of Perceived Usefulness, Perceived Ease of Use, and Perceived Risk with Behavioural Intention. The primary data was collected from 385 banking customers using the purposive sampling technique by circulating astructured questionnaire. This research shows that AI brings about more benefits than challenges, but it is crucial to handle the latter carefully to enable sustainable sectoral growth. The empirical results support theexistence of a promising environment for AI adoption in thebanking industry as there the customers show a positive behavioural intention. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
An Integrated Model for Team Dynamics for Enhanced Collaboration and Performance
The CTF model introduces a new approach to team organization, inspired by the atomic structure of carbon. This interdisciplinary model combines organizational psychology, team dynamics research, and chemistry principles. The paper evaluates current team models, such as Belbins team roles, Hackmans model of team effectiveness, and the GRPI model, emphasizing their strengths and weaknesses. CTF expands on these frameworks while addressing their limitations. It consists of a productivity core (similar to protons and neutrons) and critique networks (similar to electrons), connected by Team Cohesion Factors. Unlike previous models that focus on specific aspects, CTF provides a comprehensive structure that integrates leadership, execution, and feedback mechanisms. It balances a hierarchical structure with collaborative input, including internal and external feedback systems. Inspired by the adaptability of carbon, the model is suitable for dynamic environments. Although it shows promise in addressing the limitations of previous models, CTF needs empirical validation. This paper lays out the theoretical basis of CTF, compares it with existing frameworks, explores its potential benefits and limitations, and outlines future research directions. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Powering the Future: The Role of Solar Energy in Indian Energy Transition
Energy has become one of the basic human needs, and the expanding population demands more energy for day-to-day needs. As the demand for energy increases, the easy solution for everyone to rely on is the employment of fuel-powered generation systems, which adversely affect the ecology and the environment. In order to address the energy needs of the time without harming the environment, we need considerable investments in the renewable energy sector. Government alone cannot perform this task. A collective effort from government, public, and private investors is required here. Energy conferences like Conferences of Parties (COP) focus on the transition of energy from non-renewable sources to renewable sources and on bringing down the loss of energy during transmission and distribution. This paper current Indian energy sector scenario, suggests solar energy as a solution to Indias energy crisis and discusses the reason behind the lack of motivation for people to invest in solar energy. Addressing these factors can attract more investors to the investment. The research in battery technology and solar panels can help the Indian energy sector focus on energy harvesting and the development of energy-independent systems which will solve the energy crisis to an extent. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Impact of Environmental Studies on Sustainable Consumption Among the Students: A Study from Indian Higher Education Institutions
This research investigates the impact of compulsory university courses focusing on sustainability on students attitudes and behaviors towards responsible consumption. The study seeks to determine how education impacts sustainable decision-making by analyzing students consumption habits both before and after they enroll in these courses. The study based on descriptive nature, as per convenience sampling method the required data are collected from 220 students enrolled under graduate programme offered by colleges affiliated to Bangalore University. The structure questionnaire constructed with six EALEnvironmental Awareness Level; PHWBPersonal health and wellbeing; SR-Social responsibility; PVIPersonal value and identity; ICInnovation and creativity; EB-Economic Benefits and these dimension analyzed with help of correlation matrix. Based on the analysis of six dimensions of green consumption the findings indicate that the courses significantly influenced students inclination towards sustainable consumption, suggesting the potential for educational initiatives to drive positive change. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Assessing Financial Distress to Foster Sustainable Growth: Insights from Indian Listed Companies
A companys success and survival depend on its financial viability, which is primarily determined by its strong key financial ratios. When these ratios fall below the critical levels, the companys long-term survival is threatened indicating the onset of financial distress (FD). In this context the FD prediction models can act as an early warning system, enabling corporate managers to intervene mid-way and take corrective action. This study focuses on Indian-listed companies that filed under the Insolvency and Bankruptcy Code (IBC) 2016, between the years 2020 and 2023. Out of the 200 listed companies that applied for bankruptcy, 40 companies were selected for the study that showed either the status as Resolution plan or withdrawal or Rejected as per the National Company Law Tribunal (NCLT) order. To analyze the long-term survival prospects of these companies, the study employs Altmans Z-score modelsthe initial Z-score model for publicly traded companies and the EMZ score that is modeled for emerging markets like India. Both the models were calculated along with Z-score probabilities to gauge the likelihood of financial distress. Additionally, the Beneish M-Score was calculated to validate the financial data. The results from the Z-score models indicate that several companies showed declining financial stability during the study period with some on the verge of bankruptcy, while the M-score revealed potential financial manipulation in certain cases. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
The Devastating Impact of Greenhouse Gas Emissions: A Looming Threat to Sustainable Development in India
This study investigates the trends in greenhouse gas emissions across various sectors in India, focusing on carbon dioxide (CO2), methane (CH4), and nitrous oxide (N2O). By estimating and evaluating the emissions and removals from key sectors, including industrial, agricultural, and other significant subsectors, this research aims to comprehensively analyse the types and sources of greenhouse gases emitted by Indias industries. The study conducts a detailed trend analysis within multiple subsectors, identifying significant patterns and discrepancies over different time periods. A comparative analysis between the industrial and agricultural sectors highlights the differences in emission sources and levels. Furthermore, this research delves into the measures and initiatives undertaken by the Indian government to mitigate greenhouse gas emissions and promote sustainable development. This includes policies, regulations, and programs to reduce emissions and enhance environmental sustainability. The findings of this study are expected to contribute to a deeper understanding of sector-specific emissions in India, offering valuable insights into the effectiveness of current policies and suggesting areas for improvement. This research aims to inform and influence policy-making for enhanced environmental sustainability in India by comprehensively evaluating emissions trends and government actions. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
The Impact of Economically Weaker Section Reservation in India: A Study on the Syro Malabar Community in Kerala, India
India is renowned for its multifaceted unity amid diversity, which proves the harmonious fusion of different communities. This harmony is rooted in the Indian Constitution by ensuring social justice to all citizens regardless of their individual differences and unique characteristics. It is crafted with empathy and foresight to benefit the most disadvantaged sections of society. It includes provisions for reservation programs under Articles 15 and 16 to combat discrimination and promote inclusiveness in the present Indian societal scenario. The 103rd amendment to the Indian constitution expanded the concept of backwardness to include more marginalized and disadvantaged sections of society. It reflects the United Nations sustainable development goals (SDG 10) in India to reduce inequalities. The amendment introduced a 10% reservation in government employment and education for the Economically Weaker Sections (EWS) ensuring equitable development of all the sections of society. The study examines the impacts of the economically weaker sections (EWS) reservation in India by analyzing data collected from the Syro Malabar Community in Kerala, India. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
The Impact of Economically Weaker Section Reservation in India: A Study on the Syro Malabar Community in Kerala, India
India is renowned for its multifaceted unity amid diversity, which proves the harmonious fusion of different communities. This harmony is rooted in the Indian Constitution by ensuring social justice to all citizens regardless of their individual differences and unique characteristics. It is crafted with empathy and foresight to benefit the most disadvantaged sections of society. It includes provisions for reservation programs under Articles 15 and 16 to combat discrimination and promote inclusiveness in the present Indian societal scenario. The 103rd amendment to the Indian constitution expanded the concept of backwardness to include more marginalized and disadvantaged sections of society. It reflects the United Nations sustainable development goals (SDG 10) in India to reduce inequalities. The amendment introduced a 10% reservation in government employment and education for the Economically Weaker Sections (EWS) ensuring equitable development of all the sections of society. The study examines the impacts of the economically weaker sections (EWS) reservation in India by analyzing data collected from the Syro Malabar Community in Kerala, India. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Barriers to Sustainable Practices in the Construction IndustryA Bibliometric Analysis and Thematic Classification
Several studies explored the challenges involved in adopting sustainable practices in the construction industry from the perspective of different stakeholders, mainly developers, architects, consultants, and contractors. These challenges include financial constraints, lack of awareness, human resource issues, government policies, and market dynamics. However, a comprehensive bibliometric analysis and thematic classification of these barriers covering different aspects of sustainable construction is scarce owing to the fragmented nature of the literature. The objectives of the study are(1). To examine the literature on barriers to incorporating sustainable practices in building construction, operation and demolition (2). To provide a thematic classification of the barriers (3). To identify research gaps and suggest avenues for further research. The articles were retrieved from the Scopus database and refined using PRISMA guidelines. 221 studies were included in the bibliometric analysis. Biblioshiny was used to identify the publication trends, most relevant countries, authors, publications, and highly cited articles. Furthermore, 30 empirical studies were analysed using NVivo 12 software to classify the barriers into the following themes: finance-related, attitude and behaviour-related, knowledge and awareness-related, government-related and market-related. The sub-themes cover various issues related to the development of sustainable buildings: prefabrication, Building Information Modelling, Cloud Computing, procurement of sustainable materials, energy management, managing sustainable projects and construction and demolition waste management. These comprehensive insights could help practitioners and policy-makers develop strategies to drive the construction industry towards achieving its sustainability goals. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Food Waste and Fermentation
Food waste (FW) generation and disposal is an unavoidable part of the day-to-day life of every human being. Irrespective of the geographical area, the problems associated with food waste and its valorisation pose a great threat to all countries. Taking into consideration the nutritive value of the discarded food, there are several strategies developed for its effective valorisation rather than careless discharge that may lead to several environmental hazards. The concept of food-based biorefineries for the development of value-added products has gained much momentum in recent decades. Food waste based on its composition can be utilised for producing a variety of products through fermentation approach. The major products of fermentation of food waste include industrially important enzymes, biopolymers, biofuels, single-cell proteins (SCPs) and organic acids. Each of these products has very high commercial value and a diverse scope for applications. As the modern world goes through the principles of sustainable development and a closed-loop system ensuring zero wastage, the fermentation of food waste for product development can prove worthwhile in solving the issues associated with food waste generation and disposal. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Recent Trends in Composting of Food Waste
Accumulation of food waste materials, contaminated water, and air is an inevitable end result of the rapid expansion of cities across the world. Resource overconsumption remains never-ending, deteriorating the environment and society. Conventional food waste management practices, such as landfills, dumping, and incineration, are proven to be problematic in terms of inhabitants health risks and environmental contamination. Food waste management with a zero-waste approach is given the utmost priority in the present-day scenario and has become a significant part of our routine life. The avoidance and reduction of food waste are very important parts of waste management, as they have a huge impact on our lives and the environment. The conceivable solution is to valorize the food waste into a usable secondary raw material for its utilization in other industries. Composting is a systematic biological process, recognized as a cost-effective method for food waste management. It generates nutrient-rich manure for plant growth and development. This has offered opportunities for organic wastes, especially food waste, as nutrient sources for agriculture. Though traditional agricultural practices with inorganic fertilizers have helped in gaining high yields of crops, their aftereffects on soil have been dismissive. This has opened up a congenial platform for the use of organic manures like compost and vermicompost, due to their positive effects of enhancing soil quality over inorganic fertilizers. Microbial processes are gaining massive significance due to their realistic and eco-friendly nature, resulting in the recovery of biomolecules from food wastes and fermentation end products, ensuring zero waste. Composting strategies that can act on prominent food wastes such as vegetable market waste, fruit waste, slaughterhouse waste, chicken and fish waste, canteen/hotel waste, and house/residential waste will play a promising role in the recovery of sustainable resources. Finding new ways of reducing food waste disposal problems is a topic that must be of the greatest importance for every government, business, and individual. 2025 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. -
Barriers to Green Supply Chain Management in the Construction IndustryA Systematic Review
The construction industry is project-based and requires the cooperation of several stakeholders, mainly architects, contractors, and suppliers, to ensure that materials, finance and information move through the construction supply chain with minimal hurdles. The fragmented nature of the industry creates obstacles to integrating green practices into the supply chain to reduce the industrys negative environmental effects. This study aims to review the literature on barriers to adopting green supply chain management practices in the construction industry, pinpoint research gaps and suggest directions for further research in the domain. The articles for the literature review were retrieved from the Scopus database from 2014 to 2024. The search was refined using PRISMA guidelines. 18 relevant empirical studies were reviewed for this purpose. The findings reveal that the major impediments were high costs of implementing green practices across different phases, namely, the design procurement, construction, operation and demolition phases, inadequate knowledge and awareness of green procurement, design and construction, insufficient technical expertise, lack of government incentives for adopting green practices, lack of availability of green building materials and technologies, lack of top management commitment and inadequate policies and regulations on green construction. Extant literature indicates that past studies have examined the most significant barriers in developed and developing countries, mostly using quantitative surveys. It is suggested that future researchers conduct an in-depth analysis of the barriers in different contexts by gathering qualitative data from the construction industry stakeholders. This would support the creation of policies and strategies by practitioners and policymakers to address the issues of incorporating environmental concerns into the building supply chain. It will, therefore, encourage the sector to strive for environmental sustainability. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. -
Optimizing Machine Learning for Product Category Prediction in Digital Wallet Transactions: A Case Study of Feature-Driven Performance
The Digital Wallet transactions is one of the rapid phenomena in the application of technology. There were various studies which explored to application and sophistication of this digital wallet transactions. Based on the secondary data, the researcher developed a model for classifications using machine learning algorithms in Jupyter notebook (Python IDE). In the current study the performance of the machine learning model for classification is conducted on product categories in digital wallet transaction using many features such as product amount transaction fees cashback and encode categorical variables merchant name product name and payment methods. The test results of the classification model show and oral accuracy of the model at 92% with Precision recall and F1 scores averaging up to 0.92. It is noticeable that some of the features such as gas bill electricity bill showed weaker performance suggesting the need for further engineering and model tuning. This provide the deep understanding on how the transactions related features contribute to predicting the accuracy and highlights the potential for improving classification models for financial technology and its applications. The study also provides future directions and implications for the model refinement focusing on improving miss classification in categories. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.