Addressing environmental justice in clean energy policy: Comparative case studies from the United States and Nigeria

Global Journal of Engineering and Technology Advances, Год журнала: 2024, Номер 19(2), С. 169 - 184

Опубликована: Май 29, 2024

This paper explores the intersection of environmental justice and clean energy policy through a comparative analysis case studies from United States Nigeria. Environmental justice, defined as fair treatment meaningful involvement all people in decisions, is increasingly recognized critical aspect transitioning to systems. By examining policies initiatives both countries, this study aims identify successes, challenges, lessons learned addressing considerations. In States, focuses on federal state-level policies, assessing their impact marginalized communities efforts promote equity access resources. Similarly, Nigeria, attention given government-led implications for particularly rural underserved areas. Through lens, highlight’s common themes divergent approaches between two countries. It identifies opportunities cross-country collaboration knowledge sharing advance equitable sustainable transitions globally. The findings underscore importance integrating principles into development implementation, with recommendations provided policymakers stakeholders inclusivity, fairness, community engagement shaping future energy.

Язык: Английский

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Renewable energy expansion: Legal strategies for overcoming regulatory barriers and promoting innovation

World Journal of Advanced Engineering Technology and Sciences, Год журнала: 2024, Номер 12(1), С. 168 - 186

Опубликована: Май 29, 2024

The expansion of renewable energy sources is pivotal in mitigating climate change and transitioning towards a sustainable future. However, the realization this transition faces numerous regulatory barriers that impede deployment integration technologies. This abstract explores legal strategies essential for overcoming these promoting innovation expansion. Regulatory hurdles often stem from outdated policies, complex permitting processes, conflicting regulations at various governmental levels. Moreover, uncertainties surrounding property rights, land use, interconnection standards pose significant challenges to developers investors. To address barriers, frameworks must evolve accommodate unique characteristics requirements projects. Effective encompass range interventions, including streamlining procedures, harmonizing across jurisdictions, providing clarity on contractual frameworks. Furthermore, innovative policy mechanisms such as feed-in tariffs, portfolio standards, tax incentives can incentivize while ensuring compliance. Promoting requires proactive approach reform. involves fostering collaboration between policymakers, industry stakeholders, experts identify bottlenecks develop tailored solutions. Additionally, flexible allow experimentation adaptation technological advancements are driving sector. Case studies jurisdictions illustrate successful employed overcome promote These examples highlight importance stakeholder engagement, adaptive governance structures facilitating economy. In conclusion, multifaceted combines legal, policy, By adopting strategies, policymakers create an enabling environment fosters deployment, accelerates innovation, advances

Язык: Английский

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Machine Learning in Sustainable Agriculture: Systematic Review and Research Perspectives

Agriculture, Год журнала: 2025, Номер 15(4), С. 377 - 377

Опубликована: Фев. 11, 2025

Machine learning (ML) has revolutionized resource management in agriculture by analyzing vast amounts of data and creating precise predictive models. Precision improves agricultural productivity profitability while reducing costs environmental impact. However, ML implementation faces challenges such as managing large volumes adequate infrastructure. Despite significant advances applications sustainable agriculture, there is still a lack deep systematic understanding several areas. Challenges include integrating sources adapting models to local conditions. This research aims identify trends key players associated with use agriculture. A review was conducted using the PRISMA methodology bibliometric analysis capture relevant studies from Scopus Web Science databases. The study analyzed literature between 2007 2025, identifying 124 articles that meet criteria for certainty assessment. findings show quadratic polynomial growth publication on notable increase up 91% per year. most productive years were 2024, 2022, 2023, demonstrating growing interest field. highlights importance multiple improved decision making, soil health monitoring, interaction climate, topography, properties land crop patterns. Furthermore, evolved weather advanced technologies like Internet Things, remote sensing, smart farming. Finally, agenda need deepening expansion predominant concepts, farming, develop more detailed specialized explore new maximize benefits sustainability.

Язык: Английский

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The influence of consumer behavior on sustainable marketing efforts

International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(5), С. 1651 - 1676

Опубликована: Май 11, 2024

This concept paper explores the dynamic relationship between consumer behavior and sustainable marketing efforts. As consumers increasingly prioritize environmental social responsibility, businesses are adapting their strategies to meet these evolving demands. The provides insights into influence of attitudes, beliefs, values on purchasing decisions, highlighting growing market for environmentally friendly products importance transparent communication about sustainability Through a review existing literature, identifies key trends, challenges, opportunities seeking align with goals. It proposes model understanding efforts, emphasizing role in shaping perceptions influencing behavior. While face challenges such as high cost production complexity supply chains, also highlights differentiate themselves build stronger relationships conscious consumers. By preferences values, can develop that resonate target audience drive positive change. In conclusion, has significant impact must adapt demands an socially base. foundation further research offers practical looking integrate achieve long-term success rapidly changing landscape.. Keywords: Consumer Behavior, Sustainability, Marketing.

Язык: Английский

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Harnessing artificial intelligence to develop strategic marketing goals

International Journal of Management & Entrepreneurship Research, Год журнала: 2024, Номер 6(5), С. 1625 - 1650

Опубликована: Май 11, 2024

In today's rapidly evolving business landscape, harnessing artificial intelligence (AI) has become imperative for organizations striving to remain competitive. This concept paper explores the integration of AI in developing strategic marketing goals, aiming provide a comprehensive framework leveraging AI's capabilities effectively. The begins by outlining current state marketing, highlighting its transformative potential across various facets such as customer segmentation, personalized targeting, predictive analytics, and automation. It underscores necessity businesses embrace AI-driven approaches stay ahead an increasingly data-driven marketplace. Moreover, delves into implications adoption marketing. emphasizes need alignment between initiatives overarching objectives, emphasizing role enhancing experience, optimizing resource allocation, driving revenue growth. Furthermore, addresses key considerations challenges associated with integrating strategies, including data privacy concerns, ethical implications, organizational readiness. advocates structured approach implementation, encompassing robust governance, talent acquisition, continuous monitoring mitigate risks Drawing upon industry best practices case studies, elucidates practical methodologies setting goals. importance decision-making, iterative experimentation, agile adaptation capitalize on innovation competitive advantage. conclusion, proactive stance towards embracing strategy formulation. By strategically capabilities, can not only enhance their effectiveness but also cultivate long-term sustainable growth dynamic environment. Keywords: AI, Strategic, Marketing, Environment, Goals, Business.

Язык: Английский

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Advancing Arecanut Quality Grading: A Comparative Analysis of YOLO Models with Hyperparameter Optimization

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Янв. 6, 2025

Arecanut grading is essential for maintaining quality, fair pricing, and efficient trade. Manual methods, dependent on subjective human assessment, are prone to errors, inconsistencies, inefficiencies, particularly in large-scale operations.Automating this process vital improving accuracy scalability. The You Only Look Once (YOLO) deep learning method autonomously evaluates arecanuts by training 2,000 high-resolution photos uniformly categorized into four quality ratings. We split the dataset 80% training, 20% validation, used a separate curated test set evaluate generalization. Then evaluated YOLOv8 YOLOv11 models nano, small, medium configurations. optimization involved tuning batch size, rate, weight decay through grid search applying data augmentation techniques.The nano model achieved highest of 98.25%, with precision 0.98, recall processing time 220.19 ms per image. In contrast, exhibited lower due overlapping feature misclassifications. While results highlight potential YOLO automating agricultural grading, study constrained size single-perspective imaging, limiting its generalizability. Future work will focus expanding datasets, incorporating advanced imaging technologies, transparency practical deployment. These demonstrate offering scalable, efficient, sustainable solution arecanut classification real-world applications.

Язык: Английский

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Роль алгоритмов машинного обучения в оптимизации сельскохозяйственного производства: обзор международного опыта и адаптация к условиям Эфиопии

Modelirovanie, optimizaciâ i informacionnye tehnologii., Год журнала: 2025, Номер 13(1(48))

Опубликована: Янв. 14, 2025

Актуальность исследования обусловлена необходимостью повышения эффективности сельскохозяйственного производства в условиях растущей потребности продовольственной безопасности, особенно странах с низким уровнем экономического развития, таких как Эфиопия. Основная цель работы заключается исследовании возможностей применения алгоритмов машинного обучения для оптимизации агропроизводственных процессов и адаптации международного опыта к специфическим условиям Эфиопии. Методологический подход включает анализ современной научной литературы, посвященной использованию сельском хозяйстве, систематизацию успешных практик алгоритмов, CNN, LSTM, RNN Q-Learning. Проведено исследование особенностей сектора Эфиопии, включая существующие барьеры внедрения передовых технологий. Результаты демонстрируют, что алгоритмы обладают значительным потенциалом урожайности, улучшения мониторинга состояния почвы культур, а также прогнозирования климатических рисков. В частности, использование данных, полученных беспилотников сенсоров, способствует созданию точных моделей управления процессами хозяйстве. Выявлены ключевые препятствия, такие недостаток финансирования, отсутствие специализированной инфраструктуры обработки данных низкая доступность Выводы подчеркивают необходимость привлечения государственных международных инвестиций, создания адаптированных баз разработки моделей, учитывающих локальные особенности. Представленные материалы имеют практическую ценность стратегий цифровизации сельского хозяйства предотвращения продовольственных кризисов аналогичными проблемами. The relevance of this study is driven by the need to enhance efficiency agricultural production in response growing demand for food security, particularly economically underdeveloped countries such as Ethiopia. main objective research explore potential application machine learning algorithms optimize processes and adapt international practices specific conditions methodological approach includes an analysis contemporary scientific literature on use agriculture systematization successful involving RNN, investigates characteristics Ethiopia's sector, including existing barriers adoption advanced technologies. results highlight that hold significant increasing crop yields, improving soil monitoring, forecasting climate risks. Specifically, utilizing data from drones sensors enables creation precise models managing processes. However, key challenges insufficient funding, a lack specialized processing infrastructure, limited access technology have been identified. concludes emphasizing importance attracting governmental investments, developing tailored databases, creating account local conditions. findings provide practical value strategies digitize prevent crises facing similar challenges.

Язык: Русский

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Multidimensional Perspective of Sustainable Agroecosystems and the Impact on Crop Production: A Review

Agriculture, Год журнала: 2025, Номер 15(6), С. 581 - 581

Опубликована: Март 9, 2025

Agroecosystems form a natural ecosystem component, allowing the proper classification of regional biome at global scale. It is important to view agroecosystems from micro-environmental perspective given that they are characterised by combination factors, including interaction soil–plant–atmosphere conditions, which largely responsive human management practices. The published literature generally provides limited explanation multidimensional nature agroecosystems. In combination, agroecosystem practices promote efficient water use and nutrient cycling in defence regenerative agriculture ethos. Sustainable can be combined explain how mitigate risks biodiversity. This study aims present review predominant advances sustainable crop production agroecosystem. A hybrid methodology data mining interpretation was used establish meaning relationships major research areas have emerged over time dominate narrative definition Crop diversification, soil management, integrated pest resource precision were selected using document summarisation entity relation modelling generate between various components based on existing literature. finding confirmation comparable applications different regions, whose enhanced recent summation. concludes separable impact. However, it reasonable recommend need for future into their integration implementation interpretation.

Язык: Английский

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Redefining Aquaculture Safety with Artificial Intelligence: Design Innovations, Trends, and Future Perspectives

Fishes, Год журнала: 2025, Номер 10(3), С. 88 - 88

Опубликована: Фев. 20, 2025

In recent years, safety concerns in aquaculture have become increasingly prominent due to various factors. Concurrently, the emergence of artificial intelligence (AI) has offered novel approaches addressing these challenges. This paper provides a comprehensive review and synthesis AI applications over past few decades, while also suggesting future directions. Utilizing bibliometric tools such as Citespace VOSviewer, we analyzed 513 publications spanning from 1998 2025. Our analysis highlighted growing global research interest this emerging field. Furthermore, it is forecasted that integration remote sensing technology, immune response monitoring, cross-disciplinary innovations will drive transformation management toward more intelligent, proactive, sustainable approach. These advancements are expected enhance precision efficiency risk assessment disease prevention systems.

Язык: Английский

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Enhancing Precision Farming Innovations for Global Food Security Through Agricultural Extension Services

Advances in environmental engineering and green technologies book series, Год журнала: 2025, Номер unknown, С. 119 - 142

Опубликована: Апрель 4, 2025

Precision farming depends on agricultural extension because it provides farmers with the knowledge, skills, and support they need to adopt successfully use precision agriculture technologies. By offering guidance practical aspects of agriculture, services assist in overcoming technical challenges optimizing their technology. Additionally, facilitate farmers' access technologies, such as software, tools, which could otherwise be unaffordable individual farmers. Agricultural can help overcome barriers adopting boost productivity efficiency, sustainable development by carrying out these duties. technology is essential for assuring effective ethical food production this era global security. As develops, its incorporation into methods holds potential transform sector satisfying expanding needs a dynamic community..

Язык: Английский

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