Applications of artificial intelligence (AI) in managing food quality and ensuring global food security DOI Creative Commons
Ali Ikram, Hassan Mehmood,

Muhammad Tayyab Arshad

et al.

CyTA - Journal of Food, Journal Year: 2024, Volume and Issue: 22(1)

Published: Sept. 9, 2024

Language: Английский

Future of industry 5.0 in society: human-centric solutions, challenges and prospective research areas DOI Creative Commons
Amr Adel

Journal of Cloud Computing Advances Systems and Applications, Journal Year: 2022, Volume and Issue: 11(1)

Published: Sept. 8, 2022

Abstract Industry 4.0 has been provided for the last 10 years to benefit industry and shortcomings; finally, time 5.0 arrived. Smart factories are increasing business productivity; therefore, limitations. In this paper, there is a discussion of opportunities as well limitations future research prospects. changing paradigm brings resolution since it will decrease emphasis on technology assume that potential progress based collaboration among humans machines. The industrial revolution improving customer satisfaction by utilizing personalized products. modern with paid technological developments, required gaining competitive advantages economic growth factory. paper aimed analyze applications 5.0. At first, definitions advanced technologies in revolution. There also enabled like healthcare, supply chain, production manufacturing, cloud etc. discussed big data analytics, Internet Things, collaborative robots, Blockchain, digital twins 6G systems. study included difficulties issues examined head comprehend caused organizations robots people assembly line.

Language: Английский

Citations

495

Deep Learning and Artificial Intelligence in Sustainability: A Review of SDGs, Renewable Energy, and Environmental Health DOI Open Access
Zhencheng Fan, Zheng Yan,

Shiping Wen

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(18), P. 13493 - 13493

Published: Sept. 8, 2023

Artificial intelligence (AI) and deep learning (DL) have shown tremendous potential in driving sustainability across various sectors. This paper reviews recent advancements AI DL explores their applications achieving sustainable development goals (SDGs), renewable energy, environmental health, smart building energy management. has the to contribute 134 of 169 targets all SDGs, but rapid these technologies necessitates comprehensive regulatory oversight ensure transparency, safety, ethical standards. In sector, been effectively utilized optimizing management, fault detection, power grid stability. They also demonstrated promise enhancing waste management predictive analysis photovoltaic plants. field integration facilitated complex spatial data, improving exposure modeling disease prediction. However, challenges such as explainability transparency models, scalability high dimensionality with next-generation wireless networks, ethics privacy concerns need be addressed. Future research should focus on developing scalable algorithms for processing large datasets, exploring addressing considerations. Additionally, efficiency models is crucial use technologies. By fostering responsible innovative use, can significantly a more future.

Language: Английский

Citations

129

Actions and approaches for enabling Industry 5.0‐driven sustainable industrial transformation: A strategy roadmap DOI Creative Commons
Morteza Ghobakhloo, Mohammad Iranmanesh, Manuel Morales

et al.

Corporate Social Responsibility and Environmental Management, Journal Year: 2022, Volume and Issue: 30(3), P. 1473 - 1494

Published: Dec. 8, 2022

Abstract Although Industry 4.0 was believed to promote sustainable development, it has ignored or misunderstood many prevailing sustainability concerns, which led the emergence of 5.0 agenda. While desirable values are widely acknowledged, knowledge how this agenda can deliver transformation is lacking. The present study addresses gap, explaining should be managed facilitate development. Therefore, strives model underlying mechanism for enabling such transformation. conducted a content‐centric review literature and identified 11 actions approaches that serve as enablers further interpretive structural modeling structured an steps needed 5.0. Finally, developed strategy roadmap Results emphasized stakeholder salience, highlighting role integration collaboration in Proactive governmental support most driving enabler 5.0, whereas eco‐innovation value network reformation among complex hard‐to‐develop enablers. offer several implications policymakers practitioners, functionality each approach necessary determines sequential relationships these strategies identifies their optimal development sequence synergistically. identify codependences transition highlight interactions complementarities.

Language: Английский

Citations

119

State of Major Vegetation Indices in Precision Agriculture Studies Indexed in Web of Science: A Review DOI Creative Commons
Dorijan Radočaj, Ante Šiljeg, Rajko Marinović

et al.

Agriculture, Journal Year: 2023, Volume and Issue: 13(3), P. 707 - 707

Published: March 18, 2023

Vegetation indices provide information for various precision-agriculture practices, by providing quantitative data about crop growth and health. To a concise up-to-date review of vegetation in precision agriculture, this study focused on the major with criterion their frequency scientific papers indexed Web Science Core Collection (WoSCC) since 2000. Based topic “precision agriculture” combined “vegetation index”, found that United States China are global leaders total research application indices, while analysis adjusted country area showed much more homogenous development agriculture. Among these studies, based multispectral sensor frequently adopted studies than low-cost alternatives RGB sensor. The normalized difference index (NDVI) was determined as dominant index, 2200 year With existence improved shortcomings NDVI, such enhanced (EVI) soil-adjusted (SAVI), recognized potential enabling superior results to those NDVI future studies.

Language: Английский

Citations

91

Object detection and tracking in Precision Farming: a systematic review DOI Creative Commons
Mar Ariza-Sentís, Sergio Vélez, Raquel Martínez‐Peña

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 219, P. 108757 - 108757

Published: Feb. 23, 2024

Object Detection and Tracking have gained importance in recent years because of the great advances image video analysis techniques accurate results these technologies are producing. Moreover, they successfully been applied to multiple fields, including agricultural domain since offer real-time monitoring status crops animals while counting how many present within a field/barn. This review aims current literature on field Precision Farming. For that, over 300 research articles were explored, from which 150 last five systematically reviewed analysed regarding algorithms implemented, belong to, difficulties faced, limitations should be tackled future. Lastly, it examines potential issues that this approach might have, for instance, lack open-source datasets with labelled data. The findings study indicate critical enhance Farming pave way robotization sector provide insights crop animal management, optimize resource allocation. Future work focus optimal acquisition prior Tracking, along consideration biophysical environment farming scenarios.

Language: Английский

Citations

44

A comprehensive review on smart and sustainable agriculture using IoT technologies DOI Creative Commons
Vijendra Kumar, Kul Vaibhav Sharma, Naresh Kedam

et al.

Smart Agricultural Technology, Journal Year: 2024, Volume and Issue: 8, P. 100487 - 100487

Published: June 11, 2024

The article provides a comprehensive review of the use Internet Things (IoT) in agriculture, along with its advantages and disadvantages. However, it's important to recognize that IoT holds immense potential for generating new ideas could drive innovations modern agriculture address several challenges faced by farmers today. Applications such as smart irrigation, precision farming, crop soil tracking, greenhouses, supply chain management, livestock monitoring, agricultural drones, pest disease prevention, farm machinery are among areas considered implementation this paper. These innovative solutions have revolutionize farming practices, improve efficiency, reduce resource wastage, ultimately enhance productivity sustainability. analysis examines each application terms utility outlines measures necessary effectiveness. Key considerations include addressing connectivity issues, managing costs, ensuring data security privacy, scaling appropriately, effectively data, promoting awareness adoption tools. Despite these challenges, offers numerous benefits sector. paper underscores importance collaboration farmers, technology companies, academia, policymakers issues fully harness IoT. To achieve goal, ongoing research, development, acceptance IoT-driven essential sustain viable option amidst emerging climate change scarcity.

Language: Английский

Citations

43

IoT-based agriculture management techniques for sustainable farming: A comprehensive review DOI
Hammad Shahab, Muhammad Iqbal,

Ahmed Sohaib

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 220, P. 108851 - 108851

Published: March 26, 2024

Language: Английский

Citations

34

Integrating smart Green Product Platforming for carbon footprint reduction: The role of blockchain technology and stakeholders influence within the agri-food supply chain DOI

Afaf Camel,

Amine Belhadi, Sachin Kamble

et al.

International Journal of Production Economics, Journal Year: 2024, Volume and Issue: 272, P. 109251 - 109251

Published: April 16, 2024

Language: Английский

Citations

34

Harnessing Artificial Intelligence DOI

Subhashini Durai,

Geetha Manoharan, Sunitha Purushottam Ashtikar

et al.

Advances in finance, accounting, and economics book series, Journal Year: 2024, Volume and Issue: unknown, P. 89 - 117

Published: April 5, 2024

Science increasingly acknowledges technology's environmental impact. Artificial intelligence has the greatest transformational potential. This study uses AI to provide sustainable, eco-friendly solutions. The report covers climate change, pollution, and resource depletion worldwide. These difficulties inspire chapter suggests using invent Numerous case studies demonstrate how may help sustainability. Waste management, energy efficiency, biodiversity natural catastrophe prediction are examples. Each explores principles, problems, In next section, discusses AI's ethical practical implications. concerns include data privacy, inclusion, automation-related job loss. It provides well-defined legal frameworks integration with other tech societal finishes future in sustainable development. Governments, developers, public must collaborate achieve

Language: Английский

Citations

29

Remote Sensing for Agriculture in the Era of Industry 5.0—A Survey DOI Creative Commons
Nancy Victor, Praveen Kumar Reddy Maddikunta, Delphin Raj Kesari Mary

et al.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2024, Volume and Issue: 17, P. 5920 - 5945

Published: Jan. 1, 2024

Agriculture can be regarded as the backbone of human civilization. As technology evolved, synergy between agriculture and remote sensing has brought about a paradigm shift, thereby entirely revolutionizing traditional agricultural practices. Nevertheless, adoption technologies in face various challenges terms limited spatial temporal coverage, high cloud cover, low data quality so on. Industry 5.0 marks new era industrial revolution, where humans machines collaborate closely, leveraging their distinct capabilities, enhancing decision making sustainability resilience. This paper provides comprehensive survey on related aspects dealing with practices (I5.0) era. We also elaborately discuss applications pertaining to I5.0- enabled for agriculture. Finally, we several issues integration I5.0 sensing. offers valuable insights into current state, challenges, potential advancements principles agriculture, thus paving way future research, development, implementation strategies this domain.

Language: Английский

Citations

25