Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 335 - 379
Published: Jan. 1, 2025
Language: Английский
The American Journal of Agriculture and Biomedical Engineering, Journal Year: 2024, Volume and Issue: 6(7), P. 11 - 27
Published: July 1, 2024
The global population, now at 8 billion and projected to reach 9.7 by 2050, necessitates a significant increase in food production. This escalating demand underscores the importance of artificial intelligence (AI) technologies agriculture, which enhance resource optimization productivity amid supply chain pressures more frequent extreme weather events. A systematic literature review (SLR), conducted using PRISMA methodology, examined AI applications encompassing 906 relevant studies from five electronic databases. From these, 176 were selected for bibliometric analysis, with quality appraisal further refining selection 17 key studies. highlighted notable rise publications over past years, identifying 20 techniques, including machine learning, convolutional neural networks, IoT, big data, robotics, computer vision, as predominant. research emphasized contributions India, China, USA, focusing on sectors like crop management, prediction, disease pest management. study concluded an analysis current challenges future trends, pointing promising directions agriculture meet production demands.
Language: Английский
Citations
9
Frontiers in Artificial Intelligence, Journal Year: 2025, Volume and Issue: 7
Published: Jan. 23, 2025
The integration of artificial intelligence (AI) technologies into agriculture holds urgent and transformative potential for enhancing food security across Sub-Saharan Africa (SSA), a region acutely impacted by climate change resource constraints. This paper examines experiences from the Artificial Intelligence Agriculture Food Systems (AI4AFS) Innovation Research Network, which provided funding to innovative projects in eight SSA countries. Through set case studies, we explore AI-driven solutions pest disease detection crops such as cashew, maize, tomato, cassava, including real-time health monitoring tool Nsukka Yellow pepper. Using participatory design, key informant interview, robust evaluation, incorporating ethical frameworks, research prioritizes gender equality, social inclusion, environmental sustainability AI development deployment. Our results demonstrate that responsible practices can significantly enhance agricultural productivity while maintaining low carbon footprints. offers unique, localized perspective on AI’s role addressing SSA’s challenges, with implications global demand rises resources shrink. Key recommendations include establishing policy strengthening capacity-building efforts, securing sustainable mechanisms support long-term adoption. work provides community, policymakers, stakeholders critical insights ethical, responsible, inclusive be adapted similar contexts worldwide, contributing systems an international scale.
Language: Английский
Citations
1
Climate smart agriculture., Journal Year: 2024, Volume and Issue: 1(2), P. 100020 - 100020
Published: Sept. 24, 2024
Language: Английский
Citations
7
Agriculture, Journal Year: 2024, Volume and Issue: 14(6), P. 900 - 900
Published: June 6, 2024
The increasing prominence of climate change, geopolitical crises, and global economic slowdown highlights the challenges structural deficiencies traditional cross-border agro-food supply chains. As a result, there has been growing consensus on need to leverage digital technology rebuild innovate safe, stable, sustainable food system. This study assessed knowledge progress development trends in chains enabled by technology. A total 352 authoritative papers from core Web Science database were selected for analysis. Citespace tool was utilized visually examine research elements. findings reveal that outcomes this territory experienced significant period rapid growth, particularly after 2020. Sustainability IEEE Access are journals with highest second-highest number publications. China France National Institute countries institutions largest publications field. hotspots mainly application technologies, safety, chain system model innovation. In past ten years, gone through three stages: precise timeliness orientation, intelligent strategic decision-making predictability orientation. We further construct ‘antecedent–practice–performance’ conceptual framework sustainability technology-enabled chain. Finally, paper presents potential directions territory, focusing four aspects: method, mechanism, topic, frontier.
Language: Английский
Citations
4
Published: Jan. 1, 2025
Language: Английский
Citations
0
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
Sustainable development goals series, Journal Year: 2025, Volume and Issue: unknown, P. 21 - 37
Published: Jan. 1, 2025
Language: Английский
Citations
0
Sensors, Journal Year: 2025, Volume and Issue: 25(7), P. 2147 - 2147
Published: March 28, 2025
Food computing refers to the integration of digital technologies, such as artificial intelligence (AI), Internet Things (IoT), and data-driven approaches, address various challenges in food sector. It encompasses a wide range technologies that improve efficiency, safety, sustainability systems, from production consumption. represents transformative approach addressing sector by integrating AI, IoT, methodologies. Unlike traditional which primarily focus on leverages AI for intelligent decision making IoT real-time monitoring, enabling significant advancements areas supply chain optimization, personalized nutrition. This review highlights applications, including computer vision recognition quality assessment, Natural Language Processing recipe analysis, predictive modeling dietary recommendations. Simultaneously, enhances transparency efficiency through data collection, device connectivity. The convergence these relies diverse sources, images, nutritional databases, user-generated logs, are critical traceability tailored solutions. Despite its potential, faces challenges, heterogeneity, privacy concerns, scalability issues, regulatory constraints. To these, this paper explores solutions like federated learning secure on-device processing blockchain transparent traceability. Emerging trends, edge analytics sustainable practices powered AI-IoT integration, also discussed. offers actionable insights advance innovative ethical technological frameworks.
Language: Английский
Citations
0
Lecture notes in networks and systems, Journal Year: 2025, Volume and Issue: unknown, P. 294 - 303
Published: Jan. 1, 2025
Language: Английский
Citations
0
Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 241 - 255
Published: Jan. 1, 2025
Language: Английский
Citations
0