Design and development of a persuasive technology method to encourage smart farming

Marimuthu, Ramalatha; Alamelu, M.; Suresh, A. S.; Kanagaraj, S.

doi:10.1109/r10-htc.2017.8288930

Cited by 10 publications

(9 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We present the main groups of technologies considering their application to research work or their highlighted importance: (i) Wireless Sensor Networks (Bacco et al, 2018;Choi & Jie, 2016;Roussaki et al, 2019;Suakanto et al, 2016). App (Alves et al, 2019;Bruce, 2016;Caffaro et al, 2020;Marimuthu et al, 2017;Roussaki et al, 2019). (ii) Big Data (Caffaro et al, 2020;Wolfert et al, 2017).…”

Section: 4q4:what Iot Technologies Have Been Implemented In Rural Are...mentioning

confidence: 99%

Opportunities and Barriers of Smart Farming Adoption by Farmers Based on a Systematic Literature Review

Sarmiento

Sánchez

Lamos-Díaz

2023

Proceedings INNODOCT/22. International Conference on Innovation, Documentation and Education

View full text Add to dashboard Cite

Smart Farming is a revolutionary paradigm in the agri-food sector that integrates real-time data collection through various sensors and sources (i.e., the Internet of Things technologies (IoT) such as automation systems, farm bots, drones, and technological computer infrastructure). These integrated solutions support more intelligent decisions in the agricultural sector, increasing competitiveness and productivity in rural areas. However, there are difficulties with interoperability, security, data governance, farming practices diversity, farmer capacitation, and technology diffusion. End-users are heterogeneous, from illiterate producers to farm enterprises, which involves a custom ICT adoption strategy for each potential customer. This paper presents a systematic literature review that identifies the opportunities and barriers to adopting Smart Farming solutions in rural areas, highlighting the need to implement centered-user design strategies to increase the technology adoption considering two different types of farmers.

show abstract

Section: 4q4:what Iot Technologies Have Been Implemented In Rural Are...mentioning

confidence: 99%

Opportunities and Barriers of Smart Farming Adoption by Farmers Based on a Systematic Literature Review

Sarmiento

Sánchez

Lamos-Díaz

2023

Proceedings INNODOCT/22. International Conference on Innovation, Documentation and Education

View full text Add to dashboard Cite

show abstract

“…Though not directly linked to portals, the study elaborates the importance of using the Internet in rural communication especially to farmers. Marimuthu et al [6] discuss about a persuasive technology method developed to help farmers adopt technology supported farming. The developed technology has a portal component to share information on marketing and farming accessories like dairy, organic products, and farm machineries.…”

Section: Related Workmentioning

confidence: 99%

Design Requirements for Crop-Specific Online and Web-Based Portals

Oteyo

Oyier

Kimani

2021

HCI International 2021 - Late Breaking Papers: HCI Applications in Health, Transport, and Industry

View full text Add to dashboard Cite

General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

show abstract

“…Garba [25] develops smart water-sharing methods in semi-arid regions; Hlaing et al [26] introduce plant diseases recognition using statistical models; and, moreover, in Alipio et al [27], there are smart hydroponics systems that exploit inference in Bayesian networks. Marimuthu et al [28] propose and design a Persuasive Technology to encourage smart farming, while also exploiting historical time-series for production quality assurance [29], because nowadays consumers are concerned about food safety assurance related to health and well-being.…”

Section: Related Workmentioning

confidence: 99%

Machine Learning Applications on Agricultural Datasets for Smart Farm Enhancement

2018

View full text Add to dashboard Cite

This work aims to show how to manage heterogeneous information and data coming from real datasets that collect physical, biological, and sensory values. As productive companies—public or private, large or small—need increasing profitability with costs reduction, discovering appropriate ways to exploit data that are continuously recorded and made available can be the right choice to achieve these goals. The agricultural field is only apparently refractory to the digital technology and the “smart farm” model is increasingly widespread by exploiting the Internet of Things (IoT) paradigm applied to environmental and historical information through time-series. The focus of this study is the design and deployment of practical tasks, ranging from crop harvest forecasting to missing or wrong sensors data reconstruction, exploiting and comparing various machine learning techniques to suggest toward which direction to employ efforts and investments. The results show how there are ample margins for innovation while supporting requests and needs coming from companies that wish to employ a sustainable and optimized agriculture industrial business, investing not only in technology, but also in the knowledge and in skilled workforce required to take the best out of it.

show abstract

Design and development of a persuasive technology method to encourage smart farming

Cited by 10 publications

References 1 publication

Opportunities and Barriers of Smart Farming Adoption by Farmers Based on a Systematic Literature Review

Opportunities and Barriers of Smart Farming Adoption by Farmers Based on a Systematic Literature Review

Design Requirements for Crop-Specific Online and Web-Based Portals

Machine Learning Applications on Agricultural Datasets for Smart Farm Enhancement

Contact Info

Product

Resources

About