Understanding the potential applications of Artificial Intelligence in Agriculture Sector

Advanced Agrochem, Journal Year: 2022, Volume and Issue: 2(1), P. 15 - 30

Published: Oct. 28, 2022

Artificial Intelligence (AI) has been extensively applied in farming recently. To cultivate healthier crops, manage pests, monitor soil and growing conditions, analyse data for farmers, enhance other management activities of the food supply chain, agriculture sector is turning to AI technology. It makes it challenging farmers choose ideal time plant seeds. helps optimum seed a particular weather scenario. also offers on forecasts. AI-powered solutions will help produce more with fewer resources, increase crop quality, hasten product reach market. aids understanding qualities. by suggesting nutrients they should apply quality soil. can optimal their Intelligent equipment calculate spacing between seeds maximum planting depth. An system known as health monitoring provides information crops that need be given yield quantity. This study identifies analyses relevant articles Agriculture. Using AI, now access advanced analytics tools foster better farming, improve efficiencies, reduce waste biofuel production while minimising negative environmental impacts. Machine Learning (ML) have transformed various industries, wave reached sector. Companies are developing several technologies make farmers' easier. Hyperspectral imaging 3D laser scanning leading AI-based ensure health. These collect precise greater volume analysis. paper studied its The process Agriculture some parameters monitored briefed. Finally, we identified discussed significant applications agriculture.

Language: Английский

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Crop Monitoring in Smallholder Farms Using Unmanned Aerial Vehicles to Facilitate Precision Agriculture Practices: A Scoping Review and Bibliometric Analysis

Sustainability, Journal Year: 2023, Volume and Issue: 15(4), P. 3557 - 3557

Published: Feb. 15, 2023

In this study, we conducted a scoping review and bibliometric analysis to evaluate the state-of-the-art regarding actual applications of unmanned aerial vehicle (UAV) technologies guide precision agriculture (PA) practices within smallholder farms. UAVs have emerged as one most promising tools monitor crops PA improve agricultural productivity promote sustainable optimal use critical resources. However, there is need understand how for what purposes these are being applied Using Biblioshiny VOSviewer, 23 peer-reviewed articles from Scopus Web Science were analyzed acquire greater perspective on emerging topical research focus area. The results investigations revealed that largely been used monitoring crop growth development, guiding fertilizer management, mapping but also potential facilitate other practices. Several factors may moderate technologies. due continuous technological advancements reductions in ownership operational costs, remains much cause optimism future associated inform policy, planning, decision-making.

Language: Английский

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Artificial intelligence potential for net zero sustainability: Current evidence and prospects

Next Sustainability, Journal Year: 2024, Volume and Issue: 4, P. 100041 - 100041

Published: Jan. 1, 2024

This comprehensive review explores the nexus between AI and pursuit of net-zero emissions, highlighting potential in driving sustainable development combating climate change. The paper examines various threads within this field, including applications for net zero, AI-driven solutions innovations, challenges ethical considerations, opportunities collaboration partnerships, capacity building education, policy regulatory support, investment funding, as well scalability replicability solutions. Key findings emphasize enabling role optimizing energy systems, enhancing modelling prediction, improving sustainability sectors such transportation, agriculture, waste management, effective emissions monitoring tracking. also highlights related to data availability, quality, privacy, consumption, bias, fairness, human-AI collaboration, governance. Opportunities building, investment, are identified key drivers future research implementation. Ultimately, underscores transformative achieving a sustainable, provides insights policymakers, researchers, practitioners engaged change mitigation adaptation.

Language: Английский

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Review of artificial intelligence and internet of things technologies in land and water management research during 1991–2021: A bibliometric analysis

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 123, P. 106335 - 106335

Published: April 26, 2023

Language: Английский

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Human-in-the-loop machine learning: Reconceptualizing the role of the user in interactive approaches

Internet of Things, Journal Year: 2024, Volume and Issue: 25, P. 101048 - 101048

Published: Jan. 9, 2024

The rise of intelligent systems and smart spaces has opened up new opportunities for human-machine collaborations. Interactive Machine Learning (IML) contribute to fostering such Nonetheless, IML solutions tend overlook critical factors as the timing, frequency workload that drive this interaction are vital adapting these users' goals engagement. To address gap, work explores expectations towards in context an interactive hydration monitoring system workplace, which represents a challenging environment implement can collaborate with individuals. proposed involves users learning process by providing feedback on success detecting their drinking gestures enabling them additional examples data. A qualitative study was conducted evaluate use case, where participants completed specific tasks varying levels involvement. This provides promising insights into potential placing Human-in-the-Loop (HitL) adapt reconceptualize role solutions, highlighting importance considering human designing more effective flexible collaborative between humans machines.

Language: Английский

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Applications of artificial intelligence (AI) in managing food quality and ensuring global food security

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

Published: Sept. 9, 2024

Language: Английский

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Animal Feed Formulation—Connecting Technologies to Build a Resilient and Sustainable System

Animals, Journal Year: 2024, Volume and Issue: 14(10), P. 1497 - 1497

Published: May 17, 2024

The unprecedented challenges presented by the increase in global population have placed substantial demands on livestock industry for human nutrition, necessitating heightened animal productivity and leading to an increased demand natural resources produce feed. Feed producers are charge, consistently refining formulations adapt evolving needs of livestock, driven part cost over 50% associated with feed production. This paper critically analyses pressing issues within formulation, addressing requirement environmentally sustainable practices amidst climate change. exploration extends how advanced decision support tools can enhance formulation techniques profitability contribute environmental sustainability. Through in-depth review current technologies, encompassing their applications limitations, this study aims existing knowledge base. Additionally, we examined future trends, highlighting essential role connecting technologies establish a resilient system. emphasis is potential positively impact environment overall quality performance animals. provides actionable insights improve production examining models tools. anticipated outcome more informed decision-making process, multifaceted confronted making contributions efforts change mitigation stewardship agriculture.

Language: Английский

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Artificial intelligence in soil microbiome analysis: a potential application in predicting and enhancing soil health—a review

Deleted Journal, Journal Year: 2025, Volume and Issue: 7(2)

Published: Jan. 16, 2025

Abstract Soil is a depletable and non-renewable resource essential for food production, crop growth, supporting ecosystem services, such as the retaining cycling of various elements, including water. Therefore characterization preservation soil biological health key point development sustainable agriculture. We conducted comprehensive review use Artificial Intelligence (AI) techniques to develop forecasting models based on microbiota data able monitor predict health. also investigated potentiality AI-based Decision Support Systems (DSSs) improving microorganisms enhance fertility. While available studies are limited, potential applications AI seem relevant predictive fertility, its properties activities, implement precision agriculture, safeguarding ecosystems, bolstering resilience, ensuring production high-quality food.

Language: Английский

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Leveraging Artificial Intelligence for Sustainable Development in Agriculture

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 187 - 212

Published: Feb. 7, 2025

In a world where sustainability has been given utmost priority, agriculture plays pivotal role. Artificial Intelligence in the agricultural sector changed landscape of across globe. ‘Agvolution' (evolution agriculture) including AI supported precision farming methods, data analytics, and robotics is novel strategy which increases crop yields using less fertilizers, energy. supports ethical farming, boost revenue, lessen negative environmental effects. systems aggregate from weather stations, sensors, satellites to produce improved forecasts. This mechanism enhances sustainability. Despite numerous advantages with AI, community face challenges like security privacy, high cost machines tools. light above, authors explore usage attain sustainability, analyze need establish governance structures for increasing food overcome faced by farmers.

Language: Английский

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Sustainability and Brazilian Agricultural Production: A Bibliometric Analysis

Sustainability, Journal Year: 2024, Volume and Issue: 16(5), P. 1833 - 1833

Published: Feb. 23, 2024

Agriculture is one of the most important industries in world. In this context, importance Brazil as a strategic country to meet range SDG’s targets linked food security, fighting against hunger, and poverty reduction undeniable. This study aimed highlight production dissemination scientific research developed by Brazilian institutions, identify prominent authors institutions based on articles related sustainability, agriculture, livestock, agribusiness. A bibliometric analysis was sample 3139 documents published between 2000 2022, comprising 21,380 that were then analyzed using Biblioshiny package. As result, term “sustainability” showed growth it branched out semantically similar terms, such “sustainable agriculture” intensification”; “crop–livestock integration” “agroforestry” highlighted development future research. The majority produced University São Paulo (~33%), State (~15%), Federal Rio Grande do Sul (~11%), suggesting their researchers could act coordinators through formation multi-collaborative groups jointly lead participatory elaboration public policies promote more sustainable paths for agricultural production.

Language: Английский

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