Current challenges and future prospects of next-generation microfluidics DOI

Shimali,

Shivangi Chamoli,

Piyush Kumar

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 307 - 315

Published: Jan. 1, 2024

Language: Английский

A path to sustainable development of agri‐industries: Analysis of agriculture 5.0 versus industry 5.0 using stakeholder theory with moderation of environmental policy DOI
Y Zhang

Sustainable Development, Journal Year: 2024, Volume and Issue: 32(5), P. 4829 - 4843

Published: Feb. 28, 2024

Abstract Agricultural 5.0 (a5.0) and Industry (i5.0) both frameworks play a crucial role in achieving sustainable development (SD) by promoting efficiency sustainability from the corporate agricultural perspective. enhances industrial processes through automation data‐driven decision‐making reducing resource consumption emissions control practices. However, employs certain technologies to optimize farming practices, minimize waste, improve food production contributing SD. The study attempts explore relationship between i5.0 SD using three major streams (i.e., economic perspective, environmental social perspective) based on instrumental‐stakeholder theory standpoints. Second, investigates connections a5.0 Finally, moderating influence of policy (ENP) was examined a5.0, i5.0, Data were carefully collected organized implementing structural approach SmartPls tool seven hundred forty‐nine responses ( N = 749). results confirmed positive impact along with each dimension. Likewise, nexus model observed. moderation ENP, respectively. This provided insights into models showing that these promote sustainability, vital for greener support bringing SD, is, social, economic, environmental. ENP acts as moderator among ensures alignment SDGs.

Language: Английский

Citations

5

Agriculture 5.0 and Explainable AI for Smart Agriculture: A Scoping Review DOI Creative Commons
Abdul Razak, Sumendra Yogarayan, Md Shohel Sayeed

et al.

Emerging Science Journal, Journal Year: 2024, Volume and Issue: 8(2), P. 744 - 760

Published: April 1, 2024

The visionary paradigm of Agriculture 5.0 integrates Industry 4.0 principles into agricultural practices. Our scoping review explores the landscape 5.0, emphasizing pivotal role Explainable AI (XAI) in shaping this domain. Guided by Preferred Reporting Items for Systematic Review and Meta-Analysis Scoping Review, we rigorously analyzed 84 articles published from 2018 to September 2023. findings highlight XAI’s potential within recognizing its influence on intelligent farming. We propose a conceptual framework integrating XAI, impact model transparency user trust. Despite transformative applications, existing literature often lacks XAI discussions. objective is bridge gap provide reference academics, practitioners, policymakers, educators field smart agriculture that both environmentally friendly technologically advanced. Doi: 10.28991/ESJ-2024-08-02-024 Full Text: PDF

Language: Английский

Citations

5

A digital ecosystem for sustainable fruit supply chain in Uttarakhand: a comprehensive review DOI
Kushika Sharma, Rupesh Kumar, Amit Kumar

et al.

Environment Development and Sustainability, Journal Year: 2023, Volume and Issue: 26(5), P. 13217 - 13252

Published: Nov. 21, 2023

Language: Английский

Citations

12

Enhancing Food Grains Storage Systems through Insect Pest Detection and Control Measures for Maize and Beans: Ensuring Food Security Post-COVID-19 Tanzania DOI Open Access

Maneno Chidege,

Pavithravani B. Venkataramana,

Patrick A. Ndakidemi

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(5), P. 1767 - 1767

Published: Feb. 21, 2024

COVID-19 poses a significant threat to the present and future of mankind. The emergence diverse strains during pandemic creates uncertainty regarding their disappearance or resurgence. Lockdown measures travel restrictions impact national household food systems, hindering movement people goods. Effective control requires science-based preventive consideration availability. In Tanzania, resource-constrained farmers rely on self-storage crops. Precise pest information tailored detection/storage systems are essential for preserving major staple foods such as maize beans, which face frequent infestation by beetles moths. Traditional methods used before insufficient compared advanced global alternatives. This paper reviewed about 175 publications from different databases, dated 1984 2023 (2023 2014 = 134, 2013 2004 26 2003 15), assessing storage management beans. Identifying gaps between Tanzania advancements aiming empower farming communities with latest technologies ensuring security amid pandemic.

Language: Английский

Citations

4

Behavioral Insights and IoB in Advancing Biocomposite Technologies DOI
Deepak Gupta,

Arun Kumar Chaudhary,

Warshi Singh

et al.

Advances in psychology, mental health, and behavioral studies (APMHBS) book series, Journal Year: 2025, Volume and Issue: unknown, P. 123 - 162

Published: Jan. 22, 2025

This chapter investigates the explanatory pathway through which behavioral insights and Internet of Behavior (IoB) meet to extend simulative contributions using biocomposite technologies. By tracking real-time consumer industrial information data, as well sustainability trends IoB provides ground for informed decisions in material design production market. discusses how enables data-driven optimize performance, drive product innovation support goals. Focus areas are supply chain management, marketing plans, customization regulatory compliance. is a critical tool better connect performance composites future industrialization like automotive; aerospace components or packaging with life cycle assessment requirements. It also covers difficulties, data privacy strong analytics, discuss about biocomposites they share their opinions on it will evolve towards bio-degradable materials smarter living

Language: Английский

Citations

0

Algorithms for Plant Monitoring Applications: A Comprehensive Review DOI Creative Commons
Giovanni Paolo Colucci, Paola Battilani, Marco Camardo Leggieri

et al.

Algorithms, Journal Year: 2025, Volume and Issue: 18(2), P. 84 - 84

Published: Feb. 5, 2025

Many sciences exploit algorithms in a large variety of applications. In agronomy, amounts agricultural data are handled by adopting procedures for optimization, clustering, or automatic learning. this particular field, the number scientific papers has significantly increased recent years, triggered scientists using artificial intelligence, comprising deep learning and machine methods bots, to process crop, plant, leaf images. Moreover, many other examples can be found, with different applied plant diseases phenology. This paper reviews publications which have appeared past three analyzing used classifying agronomic aims crops applied. Starting from broad selection 6060 papers, we subsequently refined search, reducing 358 research articles 30 comprehensive reviews. By summarizing advantages applying analyses, propose guide farming practitioners, agronomists, researchers, policymakers regarding best practices, challenges, visions counteract effects climate change, promoting transition towards more sustainable, productive, cost-effective encouraging introduction smart technologies.

Language: Английский

Citations

0

The Role of 5G Network in Revolutionizing Agriculture for Sustainable Development: A Comprehensive Review DOI Creative Commons
Wajid Rehman, Mohsin Ali Koondhar, Samandar Khan Afridi

et al.

Energy Nexus, Journal Year: 2025, Volume and Issue: unknown, P. 100368 - 100368

Published: Feb. 1, 2025

Language: Английский

Citations

0

The Economic and Technological Challenges of the Agri-Development Implementation Model in the Case of the Wielkopolska Region in Poland DOI Creative Commons
Leszek Wanat, Jan Sikora, L. Majchrzak

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(4), P. 412 - 412

Published: Feb. 15, 2025

This study discusses key issues relating to the agri-development perspective, which is based on “numbered” agriculture model. Selected economic and technological dilemmas related agribusiness development in Wielkopolska region of Poland were reviewed. Based not only a literature review, but also our own research, we identified current challenges for farmers terms innovation, green energy, environmental ideas. Using diagnostic survey method, with agricultural practitioners as experts, potential directions regional assessed from perspective programming next stages “agricultural revolution”. Individual in-depth interviews conducted purposely invited Wielkopolska, one most agriculturally developed regions Poland. By verifying ex post assessment pillars Agriculture “3.0” “4.0” concepts’ adaptation model, carried out respondents’ farms, optimal model farm operation was sought. The assumed implementation had taken place that “Agriculture 5.0” under conditions evaluated, possible. so-defined hypothesis partially confirmed (conditionally). provides path idea N.0”, value “N” yet known. Finally, conclusions recommendations Wielkopolska’s formulated.

Language: Английский

Citations

0

Transforming Pest Management with Artificial Intelligence Technologies: The Future of Crop Protection DOI

E. Vidya Madhuri,

J. S. Rupali,

S. P. Sharan

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: 77(2)

Published: Feb. 19, 2025

Language: Английский

Citations

0

Integration of smart Sensors and Machine Learning Algorithms for Automated Pest Management DOI

Kaustubh Yadav,

Sritama Roy

Published: Feb. 21, 2025

Language: Английский

Citations

0