Revolutionizing Agricultural Education with Virtual Reality and Gamification: A Novel Approach for Enhancing Knowledge Transfer and Skill Acquisition DOI
Panagiotis Strousopoulos, Christos Troussas, Christos Papakostas

и другие.

Lecture notes in networks and systems, Год журнала: 2023, Номер unknown, С. 67 - 80

Опубликована: Янв. 1, 2023

Язык: Английский

Precision farming technologies for crop protection: A meta-analysis DOI Creative Commons
Evangelos Anastasiou,

Spyros Fountas,

M. Voulgaraki

и другие.

Smart Agricultural Technology, Год журнала: 2023, Номер 5, С. 100323 - 100323

Опубликована: Сен. 15, 2023

Precision farming technologies (PFTs) can have a significant impact on reducing the dependency plant protection products (PPP) for crop protection. PFTs comprises an extensive suite of digital solutions that be used to predict, detect, and control pests. In this paper, we report results systematic literature meta-analysis map in relation identify trends gaps use these order them easily adopted by farmers. total, 239 different research articles were assessed terms sensor, platform, crop, pest, pest management stage, type. The majority focused arable crops weed management. identified achieve up 97 % savings herbicides, reduce area needs insecticide application 70 %, densities 89 %. future, high resolutions images proximal sensing with heterogeneous robotic systems is expected make detection more efficient.

Язык: Английский

Процитировано

28

Toward Trustworthy Metaverse: Advancements and Challenges DOI Creative Commons

Jamin Rahman Jim,

Md. Tanzib Hosain, M. F. Mridha

и другие.

IEEE Access, Год журнала: 2023, Номер 11, С. 118318 - 118347

Опубликована: Янв. 1, 2023

The Metaverse, a transformative digital realm, holds immense promise for reshaping industries and human interactions while potentially addressing global challenges democratizing opportunities. However, it also introduces spectrum of complexities that demand careful navigation. To establish trustworthiness within the Metaverse ecosystem, gaining deep understanding its applications, challenges, existing solutions is imperative. In this comprehensive survey, we first delve into drawing insights from literature. Subsequently, explore diverse presents, analyzing them through lens research. We then scrutinize overall environment investigate to previously identified thorough review analysis pertinent Lastly, discussed future research directions aimed at fostering trustworthy environment. This can provide an overview application domains, many multidisciplinary studies.

Язык: Английский

Процитировано

22

Artificial Intelligence of Things (AIoT) for smart agriculture: A review of architectures, technologies and solutions DOI Creative Commons
Dalhatu Muhammed, Ehsan Ahvar, Shohreh Ahvar

и другие.

Journal of Network and Computer Applications, Год журнала: 2024, Номер 228, С. 103905 - 103905

Опубликована: Июнь 1, 2024

The Artificial Intelligence of Things (AIoT), a combination the Internet (IoT) and (AI), plays an increasingly important role in smart agriculture (SA). AIoT has been adopted many applications including agriculture, such as crop yield estimation, soil water conservation, pest disease detection supply chain management. While there are plenty studies on healthcare, cities, manufacturing, transportation, SA still small share reported research. This paper presents comprehensive review existing literature Federated Learning (FL) for SA. It identifies current potential challenges provides research direction future investment both academia industry.

Язык: Английский

Процитировано

13

Agriculture 5.0: Cutting-Edge Technologies, Trends, and Challenges DOI
Spyros Fountas, Borja Espejo-García, Aikaterini Kasimati

и другие.

IT Professional, Год журнала: 2024, Номер 26(1), С. 40 - 47

Опубликована: Янв. 1, 2024

In the evolution from Agriculture 2.0 to 5.0, agricultural sector has witnessed transformative changes. 5.0 represents a revolutionary phase, integrating advanced technologies enhance efficiency and sustainability adapted individual field livestock needs. The integration of robotics, extended reality, 6G marks significant leap, enabling real-time monitoring automation in farming practices. Artificial intelligence big data are pivotal offering insights for decision making predictive analytics. Natural language processing plays crucial role facilitating efficient communication processing. transition should also consider societal challenges, terms technology lock-ins need behavior shifts among stakeholders faster adoption customization solutions. This article presents comprehensive description underscoring potential hurdles reshaping future farming.

Язык: Английский

Процитировано

11

State-of-the-art in real-time virtual interfaces for tractors and farm machines: A systematic review DOI
Shiv Kumar Lohan, Chander Prakash,

Navjeet Lohan

и другие.

Computers and Electronics in Agriculture, Год журнала: 2025, Номер 231, С. 109947 - 109947

Опубликована: Янв. 21, 2025

Язык: Английский

Процитировано

1

Development of an Extended Reality-Based Collaborative Platform for Engineering Education: Operator 5.0 DOI Open Access
Dimitris Mourtzis, John Angelopoulos

Electronics, Год журнала: 2023, Номер 12(17), С. 3663 - 3663

Опубликована: Авг. 30, 2023

With the shift towards human centric, sustainable, and resilient Industry 5.0, need for training operators in complex industrial systems has become increasingly crucial. This paper explores significance of collaborative extended reality (XR)-based engineering education preparation next generation operators, denoted as Operator 5.0. By leveraging immersive technologies, can gain hands-on experience virtual or augmented environments. incorporating these elements, undergo comprehensive personalized training, resulting improved performance, reduced downtime, enhanced safety, increased operational efficiency. Additionally, framework is tested within a laboratory environment three different case studies, focusing on maintenance repair operations context modern manufacturing order to test its functionalities. Therefore, this research, current developments have been debugged examined all functionalities digital platform so that revised version be with wider educational audience.

Язык: Английский

Процитировано

17

Assessment of Metaverse wearable technologies for smart livestock farming through a neuro quantum spherical fuzzy decision-making model DOI
Fatih Ecer, İlkin Yaran Ögel, Hasan Dınçer

и другие.

Expert Systems with Applications, Год журнала: 2024, Номер 255, С. 124722 - 124722

Опубликована: Июль 11, 2024

Язык: Английский

Процитировано

6

From Food Industry 4.0 to Food Industry 5.0: Identifying technological enablers and potential future applications in the food sector DOI Creative Commons
Abdo Hassoun, Sandeep Jagtap, Hana Trollman

и другие.

Comprehensive Reviews in Food Science and Food Safety, Год журнала: 2024, Номер 23(6)

Опубликована: Окт. 22, 2024

Abstract Although several food‐related fields have yet to fully grasp the speed and breadth of fourth industrial revolution (also known as Industry 4.0), growing literature from other sectors shows that 5.0 (referring fifth revolution) is already underway. Food 4.0 has been characterized by fusion physical, digital, biological advances in food science technology, whereas future could be seen a more holistic, multidisciplinary, multidimensional approach. This review will focus on identifying potential enabling technologies harnessed shape coming years. We state‐of‐the‐art studies use innovative various agriculture applications over last 5 In addition, opportunities challenges highlighted, directions conclusions drawn. Preliminary evidence suggests outcome an evolutionary process not revolution, often claimed. Our results show regenerative and/or conversational artificial intelligence, Internet Everything, miniaturized nanosensors, 4D printing beyond, cobots advanced drones, edge computing, redactable blockchain, metaverse immersive techniques, cyber‐physical systems, digital twins, sixth‐generation wireless beyond are likely among main driving 5.0. framework, vision, value becoming popular research topics academic fields, agri‐food sector just started embrace some aspects dimensions

Язык: Английский

Процитировано

6

Immersive Extended Reality (XR) Technology in Engineering Education: Opportunities and Challenges DOI
Zuheir N. Khlaif, Allam Mousa, Mageswaran Sanmugam

и другие.

Technology Knowledge and Learning, Год журнала: 2024, Номер 29(2), С. 803 - 826

Опубликована: Янв. 18, 2024

Язык: Английский

Процитировано

5

Conceptualizing and advancing on Extended Reality applications in food science and technology DOI

George Protogeros,

Athanase D. Protogerou,

Olga Pachni-Tsitiridou

и другие.

Journal of Food Engineering, Год журнала: 2025, Номер unknown, С. 112557 - 112557

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0