Smart farming technologies adoption: Which factors play a role in the digital transition?

Giua, Carlo; Materia, Valentina Cristiana; Camanzi, Luca

doi:10.1016/j.techsoc.2022.101869

Cited by 99 publications

(50 citation statements)

References 54 publications

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“…Regarding education, the results highlight, in line with the literature (Marescotti et al 2021), how higher values correspond to more excellent knowledge and propensity to adopt: in particular, those with a university degree or diploma in an agricultural specialisation are more likely to uptake PATs (Balafoutis et al 2017). Undoubtedly, larger farms record the highest rates along the sequence, consistent with the literature (Shang et al 2021;Giua et al 2022). Therefore, our findings confirm the abundant literature on adopting precision farming tools dependent on structural and socio-economic characteristics.…”

Section: Discussionsupporting

confidence: 87%

The long way to innovation adoption: insights from precision agriculture

et al. 2022

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The adoption of innovations may boost the transition to sustainable agricultural models. Among these innovations, precision farming offers a fundamental contribution to sustainable soil management and the improvement in product quality. The work is set against this background and aims to analyse the rate of introducing precision farming tools and the variables that prevent/facilitate this adoption. Although adoption rates in Italy remain relatively low, it is vital to underline the obstacles that limit the broader use of precision agricultural technologies inside farms. To this end, the literature has highlighted various elements of complexity (farm characteristics, socio-economic and psychological), which can hinder or generate perceived complexity and significantly reduce the potential for technology adoption. In this context emerges the increasing importance of public and private activities related to knowledge transfer. The paper focuses on agricultural knowledge and innovation systems, which are also relevant in light of the recent proposal for the new regulation on rural development. The awareness–knowledge–adoption–product (AKAP) sequence was used to reveal the gap between the potential and actual adoption of innovation on Italian farms to comprehend the adoption process and identify relevant barriers and the role knowledge systems played. Empirical findings show that AKIS has a critical mediating function in promoting innovation uptake. Strengthening knowledge systems, acting on the different phases of the AKAP sequence, could allow a greater understanding of precision agriculture techniques and bottlenecks to adoption.

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Section: Discussionsupporting

confidence: 87%

The long way to innovation adoption: insights from precision agriculture

et al. 2022

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“…Various studies (e.g. Giua et al, 2022;Joe et al, 2022;Ulhaq et al, 2022;Younus et al, 2022) have addressed the role of SI in shaping intention for the adoption of new technology. Habes et al (2019) confirmed the role of SI for using social media sites.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

A modified UTAUT framework to predict students' intention to adopt online learning: moderating role of openness to change

Tewari

Singh²,

Mathur³

et al. 2023

IJILT

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PurposeThe current study employs a modified framework of the unified theory of acceptance and use of technology (UTAUT) to predict students' intention to adopt online learning in India. The moderating role of openness to change in influencing the proposed relationships is also assessed.Design/methodology/approachA structured questionnaire was emailed to 650 students enrolled in various courses in public and private universities in India. In total 424 responses were considered for analysis using structural equation modeling (SEM). Moderation analysis was carried out with multi-group SEM and chi-square difference tests.FindingsThe results reveal that there is a significant impact of performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FS) and perceived security (PS) on students' intention to adopt online learning. Further, openness to change moderates the impact of PE, FS and PS on intention of students to opt for online learning.Originality/valueThis study is one of the initial efforts to examine the factors affecting students' intention to adopt online learning at the onset of third wave of coronavirus disease 2019 (COVID-19) pandemic in India. Besides the factors of the UTAUT model, this study highlights the importance of PS and openness to change in influencing students' intention to opt for online learning.

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“…Day by day, new publications on smart agriculture could be found in the scientific journals as presented in Table 1. Towards smart farming: fog-enabled intelligent irrigation system using deep neural networks Cordeiro et al (2022) Wireless sensor deployment scheme for cost-effective smart farming using the ABC-TEEM algorithm Dananjayan et al (2022) Smart farming technologies adoption and their factors which play a role in the digital transition Giua et al (2022) Classification and yield prediction in smart agriculture system using the IoT system Gupta and Nahar ( 2022 There are many IoT applications in the agricultural sector as follows: 1-Smart soil cultivation system to include preparing the soil for cultivation, weeding, ploughing, preparing of seedbeds and sowing, 2-Smart irrigation systems to be automatized to supply the required water irrigation requirements in a controlled manner, 3-Smart fertilizer systems through the automatized spraying of fertilizers to the field under control the quantity and quality of fertilizer as well as controlling the period of spraying, 4-Smart pest detection and control systems by monitoring and detecting the infestation of pests on cultivated crops using different techniques for controlling this infestation, 5-Smart livestock farming using smart technologies for breeding livestock, 6-Smart harvesting system using IoT-based techniques to reap the harvest of a field efficiently, 7-Smart farm management system by providing analytics and evaluation recording data to improve the productivity of cultivated crops in the field, and 8-Smart groundwater quality management system by monitoring and maintaining proper levels of groundwater for on the crop and livestock production (Vangala et al 2022).…”

Section: Smart Agriculture: and Its Applicationsmentioning

confidence: 99%

Applications and Challenges of Smart Farming for Developing Sustainable Agriculture

Abdalla

El-Ramady

2022

EBSS

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griculture is the backbone of any nation, which supplies with the needed foods, feeds, fiber and fuel. The crucial sector has become more flexible and advanced due to the enormous progress in the bioinformatics, which penetrates all fields in our life. Smart agriculture is an important page in the history of global agriculture, which already used several advanced technologies during different agricultural practices starting from the pre-cultivation, cultivation, seedling, fertilization, weed detection, irrigation, spraying pesticides, till harvesting and also pot-harvest. Many sectors have been involved in smart farming like smart irrigation, and all precision farming practices for improving and management of the agriculture especially in the developing countries, which need more supporting from their governments even at the private sector and the small farms level. This short communication is a call for submitting articles on smart farming and its applications in different agricultural practices including irrigation, fertilization, and etc. Due to smart agriculture mainly depends on the bioinformatics, this technology has several open questions particularly their applications, models, and security, which need further investigations.

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Smart farming technologies adoption: Which factors play a role in the digital transition?

Cited by 99 publications

References 54 publications

The long way to innovation adoption: insights from precision agriculture

The long way to innovation adoption: insights from precision agriculture

A modified UTAUT framework to predict students' intention to adopt online learning: moderating role of openness to change

Applications and Challenges of Smart Farming for Developing Sustainable Agriculture

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