Animals, Journal Year: 2024, Volume and Issue: 14(11), P. 1645 - 1645
Published: May 31, 2024
The main priorities in the contemporary breeding of different animal species have been directed toward use intelligent approaches for accelerating genetic progress, ensuring welfare and environmental protection by reducing release manure gas emissions [...]
Language: Английский
Reviews in Aquaculture, Journal Year: 2025, Volume and Issue: 17(1)
Published: Jan. 1, 2025
ABSTRACT Digital aquaculture leverages advanced technologies and data‐driven methods, providing substantial benefits over traditional practices. This article presents a comprehensive review of three interconnected digital tasks, namely, fish tracking, counting, behaviour analysis, using novel unified approach. Unlike previous reviews which focused on single modalities or individual we analyse vision‐based (i.e., image‐ video‐based), acoustic‐based, biosensor‐based methods across all tasks. We examine their advantages, limitations, applications, highlighting recent advancements identifying critical cross‐cutting research gaps. The also includes emerging ideas such as applying multitask learning large language models to address various aspects monitoring, an approach not previously explored in literature. identify the major obstacles hindering progress this field, including scarcity datasets lack evaluation standards. To overcome current explore potential multimodal data fusion deep improve accuracy, robustness, efficiency integrated monitoring systems. In addition, provide summary existing available for analysis. holistic perspective offers roadmap future research, emphasizing need standards facilitate meaningful comparisons between promote practical implementations real‐world settings.
Language: Английский
Citations
4
Journal of Agriculture and Food Research, Journal Year: 2025, Volume and Issue: unknown, P. 101787 - 101787
Published: March 1, 2025
Language: Английский
Citations
2
Smart Agricultural Technology, Journal Year: 2025, Volume and Issue: unknown, P. 100770 - 100770
Published: Jan. 1, 2025
Language: Английский
Citations
1
Information Processing in Agriculture, Journal Year: 2024, Volume and Issue: unknown
Published: Oct. 1, 2024
Language: Английский
Citations
6
Journal of Nutrition, Journal Year: 2024, Volume and Issue: 154(12), P. 3554 - 3565
Published: Oct. 16, 2024
Language: Английский
Citations
5
Journal of Experimental Agriculture International, Journal Year: 2024, Volume and Issue: 46(7), P. 219 - 231
Published: June 11, 2024
The agricultural sector is facing unprecedented challenges due to increasing food demand, environmental degradation, and labour shortages, exacerbated by a burgeoning global population. To address these issues sustainably, the concept of "smart farming" utilizing advanced robotics drones has emerged as transformative solution. This review paper delves into significant impact cutting-edge technologies on modern agriculture, focusing their applications, benefits, challenges, future prospects. Robotics in agriculture have considerably, playing crucial roles tasks such tillage, seeding, crop protection, harvesting, animal husbandry. latest robotic systems are equipped with artificial intelligence (AI) machine learning algorithms, enabling them perform complex high precision efficiency. These potential enhance productivity while minimizing impacts through farming techniques. Drones, similarly, revolutionized applications monitoring, spraying, mapping, surveillance. drone models multispectral sensors, GPS technology, AI-driven analytics, providing farmers real-time data actionable insights. helps optimizing resource use, improving health, yield reducing footprints. Despite advancements, several impede widespread adoption. High initial costs, technological curves, regulatory hurdles, security concerns remain barriers. Additionally, integration requires substantial infrastructure training, which can be daunting for small-scale farmers. emphasizes need strategic investments supportive policies overcome challenges. Collaborations between technology developers, experts, policymakers drive innovation facilitate adoption smart practices. hold immense revolutionize traditional By harnessing technologies, industry achieve sustainable solutions, enhancing ensuring future. provides comprehensive analysis current state directions farming, underscoring pivotal role transforming agriculture.
Language: Английский
Citations
4
Frontiers in Veterinary Science, Journal Year: 2024, Volume and Issue: 11
Published: Nov. 14, 2024
While user-centered design approaches stemming from the human-computer interaction (HCI) field have notably improved welfare of companion, service, and zoo animals, their application in farm animal settings remains limited. This shortfall has catalyzed emergence animal-computer (ACI), a discipline extending technology’s reach to multispecies user base involving both animals humans. Despite significant strides other sectors, adaptation HCI ACI (collectively HACI) welfare—particularly for dairy cows, swine, poultry—lags behind. Our paper explores potential HACI within precision livestock farming (PLF) artificial intelligence (AI) enhance individual address unique challenges these settings. It underscores necessity transitioning productivity-focused animal-centered methods, advocating paradigm shift that emphasizes as integral sustainable practices. Emphasizing ‘One Welfare’ approach, this discussion highlights how integrating technologies not only benefits health, productivity, overall well-being but also aligns with broader societal, environmental, economic benefits, considering pressures farmers face. perspective is based on insights one-day workshop held June 24, 2024, which focused advancing welfare.
Language: Английский
Citations
4
Applied Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 1722 - 1722
Published: Feb. 8, 2025
This paper presents a systematic review to explore how the Internet of Things (IoT) is empowering Pets (IoP) enhance quality life for companion animals. Thirty-six relevant papers published between 2010 and 2024 were retrieved analyzed following both PRISMA Kitchenham Charters guidelines conducting literature reviews. The findings demonstrate that IoP transforming pet care by offering innovative solutions monitoring, feeding, animal welfare. Asian countries are leading development these technologies, with surge in research activity recent years (2020–2024). While remote feeding prototypes currently dominate field (79%), anticipated expand into other areas. Monitoring health (25%), surveillance monitoring activities (49%), providing comfort (17%) pets primary interests. IoT holds immense potential improve care. Research this area expected continue growing, driving innovation creation new utilizing artificial intelligence achieve smart predictive devices. In future, multifunctional devices combine various capabilities single unit will become commonplace society where it trending young people adopt instead having children.
Language: Английский
Citations
0
Nonlinear Engineering, Journal Year: 2025, Volume and Issue: 14(1)
Published: Jan. 1, 2025
Abstract The poultry industry faces numerous obstacles in maintaining the health and well-being of chicken population due to widespread occurrence various diseases. Early detection timely intervention are crucial prevent diseases minimize losses. advocate solution is need hour cater discussed challenges. Therefore, authors proposed a novel method called “DeepFowl.” A modified DenseNet169 deep learning-based model has been utilized by DeepFowl diagnose analyzing images excreta. method, enhanced data oversampling algorithm, improved disease recognition accuracy chickens from 96.3 98.4%. model’s performance was evaluated across metrics such as accuracy, recall, precision, F 1-score, consistently achieving high value This demonstrates its effectiveness early among chickens. Additionally, supports several sustainable development goals (SDGs): SDG2 (food security agriculture), SDG3 (public health), SDG9 (innovation).
Language: Английский
Citations
0
Research in Veterinary Science, Journal Year: 2025, Volume and Issue: 189, P. 105650 - 105650
Published: April 9, 2025
Language: Английский
Citations
0