Animal Frontiers, Journal Year: 2024, Volume and Issue: 14(6), P. 23 - 32
Published: Dec. 1, 2024
Language: Английский
Antibiotics, Journal Year: 2024, Volume and Issue: 13(7), P. 634 - 634
Published: July 9, 2024
The emergence of antimicrobial resistance (AMR) is a significant threat to global food security, human health, and the future livestock production. Higher rates use in dairy farming sheer lack new antimicrobials available for focused attention on question how production sector contributed development AMR paved path toward taking action curtail it targeted type farms. This paper aims provide an introduction phenomenon that has gained considerable recent past due its ever-increasing impact, drugs, farms, seeks discuss possibilities approaches such as digital health monitoring precision farming. Using sensors, data, knowledge, automation, etc., monitoring, well Precision Livestock Farming (PLF), expected enhance control minimize disease usage. work presents literature review current status trends understanding concept PLF, presentation usefulness PLF preventing AMR. study also analyses strengths weaknesses adopting incorporating technologies artificial intelligence areas further level use.
Language: Английский
Citations
12
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
Citations
1
Computers and Electronics in Agriculture, Journal Year: 2025, Volume and Issue: 235, P. 110395 - 110395
Published: April 16, 2025
Language: Английский
Citations
1
Frontiers in Veterinary Science, Journal Year: 2025, Volume and Issue: 12
Published: April 2, 2025
Traditional cattle production practices relied heavily on manual observation and empirical decision-making, often leading to inconsistent outcomes. In contrast, modern approaches leverage technology achieve greater precision efficiency. Advancement in has shifted a new dimension of predictive monitoring health management. This review aims at highlighting the available current digital technologies health, evaluate their utility practice, identify possible future advancements field that can potentially bring even more changes this industry. The paper highlights some barriers disadvantages using these technologies, such as data security issues, high capital investments, skills gap. integration advanced is set play fundamental role enabling livestock industry meet rising global demand for high-quality, sustainably produced products. These are essential ensuring compliance with ethical standards best care well-being. light advancements, application innovations will support achievement socially responsible production, while simultaneously maintaining optimal levels animal welfare.
Language: Английский
Citations
0
Springer proceedings in business and economics, Journal Year: 2025, Volume and Issue: unknown, P. 555 - 567
Published: Jan. 1, 2025
Language: Английский
Citations
0
Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 143 - 154
Published: Jan. 1, 2025
Language: Английский
Citations
0
CABI Reviews, Journal Year: 2025, Volume and Issue: unknown
Published: May 22, 2025
Abstract Traditional agriculture is increasingly challenged by the inefficient use of water resources, unpredictable weather conditions, and growing demand for food. The Internet Things (IoT) introduces innovative technologies that enable real-time monitoring, automation, data-driven decision making processes in agricultural systems. This article explores application IoT various contexts, including smart farming, precision agriculture, greenhouse livestock tracking. technology increases irrigation efficiency ability to analyze crop health, as well enabling autonomous machines. It also productivity terms sustainability. However, despite its promise, implementation still at an early stage has infrastructure costs, high technical complexities, especially developing countries. discusses problems integration, which have been thoroughly examined, suggests ways overcome them, such cost-saving options like connectivity, training specific programmes. Particular attention paid Morocco, a country where sector significant but technology-poor. To these challenges, can revolutionize current practices, with greater less impact on environment.
Language: Английский
Citations
0
The Proceedings of the International Conference on Research in Business, Management and Finance., Journal Year: 2024, Volume and Issue: 1(1), P. 17 - 24
Published: Aug. 27, 2024
Digitalization is a fundamental component of the European Commission's (EC) initiative to modernize agriculture, its associated activities, and rural areas within Union (EU). Advancements in digitalization, including robots, sensors, drones, global positioning systems (GPS), online platforms, have created new products, services, significantly impacting farm operational activities. This study explores potential future implications digitalization livestock farming Baden-Württemberg (Germany) North Savonia (Finland). The focus will be on examining how digital technologies transform practices. findings highlight benefits improving animal welfare, efficiency, sustainability, addressing challenges sector. Quantitative instruments were used assess implemented impact In addition, structured questionnaire with specific questions was distributed farmers involved farming. Farmers both countries reported that use improved their working conditions, safety health standards, decision-making processes, product quality. Finland Germany had different opinions regarding influence several aspects Finnish noted significant cooperation other chain actors access markets financial resources, contrary Germany. Digital adoption farms has beyond since it influences sustainability outcomes as food becomes more vertically integrated.
Language: Английский
Citations
1
Annals of Animal Science, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 18, 2024
Abstract In recent years, the global quest for livestock intensification driven by ever-increasing demands animal food products raised concerns about welfare, environmental sustainability, and public health. Leveraging artificial intelligence (AI) technologies such as remote sensing, Internet of Things (IoT), computer vision, data-driven modeling has become a hotspot in farming that could facilitate monitoring, disease detection, feed optimization, health management. This review includes an assessment these topics research done Iran so far, proposing future steps deployment AI-powered farm applications. The Iranian sector already seeing benefits from AI advancements information technologies, however, most studies focused on model development without applications or industry. Significant work is needed to address limitations challenges namely lack data, economic feasibility, ethical concerns, infrastructure issues, regulatory frameworks. Furthermore, reported AI-based methods approaches have some inconsistencies hinder validation. Looking forward, create new era not only copes with upcoming but also boosts circular economy making this country pioneer region. However, tackling potential accompanying application warrants multi-disciplinary collaboration veterinarians, scientists, nutritionists, agri-engineers, governmental organizations.
Language: Английский
Citations
0
Reproduction in Domestic Animals, Journal Year: 2024, Volume and Issue: 60(1)
Published: Dec. 29, 2024
ABSTRACT Artificial insemination (AI) has emerged as a transformative technology in bovine reproduction, revolutionising the agricultural sector globally. In countries like Ethiopia, where livestock is vital component of economy and plays crucial role ensuring food security supporting rural livelihoods, advancements AI hold immense promise potential. been instrumental improving genetic quality populations, increasing milk meat production, facilitating dissemination superior traits across diverse breeds. traditional breeding practices often face challenges related to limited access stock inadequate management. The adoption techniques can address these constraints pave way for sustainable development. importance Ethiopia underscored by country's large population, which primarily consists indigenous zebu cattle breeds known their adaptability local environmental conditions. However, persist regarding its widespread implementation Ethiopia. Key obstacles include semen from sires, infrastructure facilities services, insufficient training capacity building among veterinary professionals inseminators, socioeconomic barriers faced smallholder farmers accessing services. This review aims critically examine progress made identify hindering full‐scale adoption, explore prospects strategies overcoming challenges. By delving into latest research findings, policy frameworks practical experiences AI, this seeks provide valuable insights recommendations leveraging enhance productivity, diversity development
Language: Английский
Citations
0