Challenges and Solution Directions for the Integration of Smart Information Systems in the Agri-Food Sector DOI Creative Commons
Emmanuel Ahoa, Ayalew Kassahun,

C.N. Verdouw

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(8), P. 2362 - 2362

Published: April 8, 2025

Traditional farming has evolved from standalone computing systems to smart farming, driven by advancements in digitalization. This led the proliferation of diverse information (IS), such as IoT and sensor systems, decision support farm management (FMISs). These often operate isolation, limiting their overall impact. The integration IS into connected is widely addressed a key driver tackle these issues. However, it complex, multi-faceted issue that not easily achievable. Previous studies have offered valuable insights, but they focus on specific cases, individual certain aspects, lacking comprehensive overview various dimensions. systematic review 74 scientific papers addresses this gap providing an digital technologies involved, levels types, barriers hindering integration, available approaches overcoming challenges. findings indicate primarily relies point-to-point approach, followed cloud-based integration. Enterprise service bus, hub-and-spoke, semantic web are mentioned less frequently gaining interest. study identifies discusses 27 challenges three main areas: organizational, technological, data governance-related Technologies blockchain, spaces, AI, edge microservices, service-oriented architecture methods solutions for governance interoperability insights can help enhance interoperability, leading data-driven increases food production, mitigates climate change, optimizes resource usage.

Language: Английский

The Path to Smart Farming: Innovations and Opportunities in Precision Agriculture DOI Creative Commons

E. M. B. M. Karunathilake,

Anh Tuan Le, Seong Heo

et al.

Agriculture, Journal Year: 2023, Volume and Issue: 13(8), P. 1593 - 1593

Published: Aug. 11, 2023

Precision agriculture employs cutting-edge technologies to increase agricultural productivity while reducing adverse impacts on the environment. is a farming approach that uses advanced technology and data analysis maximize crop yields, cut waste, productivity. It potential strategy for tackling some of major issues confronting contemporary agriculture, such as feeding growing world population environmental effects. This review article examines latest recent advances in precision including Internet Things (IoT) how make use big data. aims provide an overview innovations, challenges, future prospects smart farming. presents current state most innovations technology, drones, sensors, machine learning. The also discusses main challenges faced by management, adoption, cost-effectiveness.

Language: Английский

Citations

291

Main drivers and barriers to the adoption of Digital Agriculture technologies DOI Creative Commons
Thaís Aparecida Dibbern, L. A. S. Romani, S. M. F. S. Massruhá

et al.

Smart Agricultural Technology, Journal Year: 2024, Volume and Issue: 8, P. 100459 - 100459

Published: April 15, 2024

The transition from traditional agriculture to Digital Agriculture involves various elements that make it challenging. Given the different contexts and particularities, this paper aims identify analyze primary factors barriers adopting Agriculture, promote an understanding of transition. By conducting a bibliometric assessment analyzing case studies, results show economic condition, availability technological infrastructure, technical knowledge, age farmers, type organization, reliability technology, concerns about security privacy are important in Agriculture. study also reveals limitation linked data sources used their preparation by studies. This finding existence gap literature concerning scarcity indicators capable measuring adoption digital while at same time providing perspective devoid producer bias. Furthermore, considering insights provided identification analysis those barriers, policymakers can tailor policies address specific challenges widespread technologies agriculture.

Language: Английский

Citations

28

Integration of Technology in Agricultural Practices towards Agricultural Sustainability: A Case Study of Greece DOI Open Access
Dimitrios Kalfas, Stavros Kalogiannidis, Olympia Papaevangelou

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(7), P. 2664 - 2664

Published: March 24, 2024

Agricultural technology integration has become a key strategy for attaining agricultural sustainability. This study examined the of in practices towards sustainability, using Greece as case study. Data were collected questionnaire from 240 farmers and agriculturalists Greece. The results showed significant positive effect on with p-values indicating strong statistical relevance (types used: p = 0.003; factors influencing adoption: 0.001; benefits integration: 0.021). These highlight effects that cutting-edge like artificial intelligence, Internet Things (IoT), precision agriculture have improving resource efficiency, lowering environmental effects, raising yields. Our findings cast doubt conventional dependence intensive, resource-depleting farming techniques point to move toward more technologically advanced, sustainable approaches. research advances conversation by showcasing how well may improve sustainability Greek agriculture. emphasizes significance infrastructure investment, supporting legislation, farmer education order facilitate adoption technology.

Language: Английский

Citations

20

Digital Technologies Adoption and Economic Benefits in Agriculture: A Mixed-Methods Approach DOI Open Access
Wenxuan Geng,

Liping Liu,

J. Zhao

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(11), P. 4431 - 4431

Published: May 23, 2024

Governments globally aim to boost productivity and enhance farmers’ livelihoods, addressing challenges like climate change, food security, labor shortages through digital technologies. However, adoption rates in developing countries remain low due uncertainties regarding expected returns obstacles stemming from subjective objective factors among farmers. This study takes China as a case examine the internal external influencing growers’ intensity of technology its impact on enhancing economic benefits, aiming provide valuable insights for promotion other regions. employs mixed-methods approach, integrating qualitative quantitative methodologies, utilizing data Shandong Liaoning provinces. The findings underscore significant role knowledge, compatibility, government support, competitive pressure driving growers, with male growers those managing larger cultivation areas demonstrating higher intensity. Digital technologies can benefits by reducing input costs, increasing yields, improving quality, 30.4% increase each unit Technology promoters use these awareness, highlight practical offer agricultural socialized services promote adoption.

Language: Английский

Citations

15

Status of Farm Automation, Advances, Trends, and Scope in India DOI Open Access
Mrutyunjay Padhiary

International Journal of Science and Research (IJSR), Journal Year: 2024, Volume and Issue: 13(7), P. 737 - 745

Published: July 5, 2024

Farm automation, in particular, has brought about tremendous changes agriculture as a result of the rapid growth technology.This study investigates farm automation's current state, recent developments, new trends, and potential applications India. The illustrates effects automation on agricultural productivity sustainability by looking at integration modern technologies like robotics, precision farming, Internet Things. A consideration governmental regulations, technical advancements, contribution academic institutions to movement are all included study. findings indicate that India increased crop yields 25-40% levels lower northeastern areas greater northwestern regions. also identifies important shift toward environmentally friendly solutions expanding significance digital technology agriculture. Although great potential, discusses technological, societal, economic obstacles prevent it from being widely used. Lastly, offers strategic insights policy recommendations accelerate adoption, with ultimate goal supporting India's industry.

Language: Английский

Citations

9

Real-Time Data Processing in Agricultural Robotics DOI

Azmirul Hoque,

Mrutyunjay Padhiary, G. Krishna Prasad

et al.

Advances in environmental engineering and green technologies book series, Journal Year: 2025, Volume and Issue: unknown, P. 431 - 468

Published: Jan. 3, 2025

This chapter emphasizes the integration of IoT and computer vision technology improving precision farming also highlights crucial role that real-time data processing plays in farm robots. According to research studies, enhances efficiency operations. The spraying can be even more accurate by up 20% operating costs reduced 12%. In addition discussing topics like accuracy cybersecurity, this still addressed benefits for crop monitoring autonomous form instantaneous feedback. further explains some future areas under AI, climate-smart behaviors, emergent technology. Some takeaway points are there is so much potential greatly increase agricultural output sustainability through these advancements. Apart from that, it includes requirements continuous innovation adaptations technologies ensure they meet today's agriculture needs.

Language: Английский

Citations

1

The Linkage of Digital Transformation and Tourism Development Policies in Indonesia from 1879–2022: Trends and Implications for the Future DOI Open Access

Windi Dwi Nanda,

Ida Widianingsih, Ahmad Zaini Miftah

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(13), P. 10201 - 10201

Published: June 27, 2023

This research analyzes digital transformation and tourism development in Indonesia based on policies issued by the central government. The policy was period 1879–2022, or, precisely, during Dutch colonial until COVID-19 pandemic. study aims to analyze that are historically linked, as well their implications for future. We trends times of pandemic method used this is content analysis analyzing texts quantitatively (number a certain time) qualitatively (topics content). dataset obtained contains 87 with various forms policies. found linkage between development, especially toward transformation. In addition, period, both reached highest number compared previous years. allows more supportive be born coming years implies opportunities establishing use technology management.

Language: Английский

Citations

19

Unlocking the potential of precision agriculture for sustainable farming DOI Creative Commons

George Mgendi

Discover Agriculture, Journal Year: 2024, Volume and Issue: 2(1)

Published: Nov. 7, 2024

Abstract Precision agriculture, a transformative farming approach, has gained prominence due to advancements in digital technologies. This paper explores the multifaceted landscape of precision focusing on its tangible benefits, challenges, and future directions. Purpose Amidst growing interest this aims provide comprehensive analysis various aspects. Specifically, it seeks elucidate benefits agriculture optimizing resource utilization, enhancing crop health, promoting sustainability. Moreover, examines challenges faced implementation proposes directions overcome these obstacles. Findings Through review existing literature case studies, presents nuanced understanding agriculture's impact farming, livestock production, economic outcomes, environmental It identifies key such as data security, costs, regulatory frameworks, while also highlighting innovative solutions promising field. Originality To best our knowledge, represents rigorous attempt comprehensively analyze with focus original contributions By synthesizing research offering insights into directions, adds emerging knowledge base surrounding potential revolutionize modern practices.

Language: Английский

Citations

7

Sustainable regenerative agriculture allied with digital agri-technologies and future perspectives for transforming Indian agriculture DOI
Chhavi Sharma, Puneet Pathak, Anuj Kumar

et al.

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 5, 2024

Language: Английский

Citations

5

Cloud Computing for Smart Farming: Applications, Challenges, and Solutions DOI

Justin Rajasekaran,

A. Saleem Raja, Pradeepa Ganesan

et al.

Signals and communication technology, Journal Year: 2024, Volume and Issue: unknown, P. 463 - 476

Published: Jan. 1, 2024

Language: Английский

Citations

4