Technology in farming: Unleashing farmers’ behavioral intention for the adoption of agriculture 5.0
Article
Mishra, Nitesh, Bhandari, Nabin, Maraseni, Tek, Devkota, Niranjan, Khanal, Ghanashyam, Bhusal, Biswash, Basya, Devid Kumar, Paudel, Udaya Raj and Danu, Ranjana Kumari. 2024. "Technology in farming: Unleashing farmers’ behavioral intention for the adoption of agriculture 5.0." PLoS One. 19 (8). https://doi.org/10.1371/journal.pone.0308883
| Article Title | Technology in farming: Unleashing farmers’ behavioral intention for the adoption of agriculture 5.0 |
|---|---|
| ERA Journal ID | 39745 |
| Article Category | Article |
| Authors | Mishra, Nitesh, Bhandari, Nabin, Maraseni, Tek, Devkota, Niranjan, Khanal, Ghanashyam, Bhusal, Biswash, Basya, Devid Kumar, Paudel, Udaya Raj and Danu, Ranjana Kumari |
| Journal Title | PLoS One |
| Journal Citation | 19 (8) |
| Number of Pages | 28 |
| Year | 2024 |
| Publisher | Public Library of Science (PLoS) |
| Place of Publication | United States |
| ISSN | 1932-6203 |
| Digital Object Identifier (DOI) | https://doi.org/10.1371/journal.pone.0308883 |
| Web Address (URL) | https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0308883 |
| Abstract | The agriculture sector has undergone a remarkable revolution known as Agriculture 5.0 (Ag 5.0), emphasizing digital technology to boost efficiency and profitability of farm business. However, little is known about farmers’ behavioral intension to adopt Ag 5.0. In this study we examine factors influencing farmer’s behavioral intension for Agriculture 5.0, identify implementation obstacles and provide managerial solutions to promote Ag 5.0 in Madhesh Province, Nepal, using the Technology Acceptance Model (TAM) and Structural Equation Model (SEM). We tested total of 20 different hypotheses. Primary data were collected from 271 farmers across 9 municipalities in Saptari District, Nepal. The study reveals that technology anxiety [(β = 0.101, p<0.01); (β = 0.188, p<0.01)], self-efficacy [(β = 0.312, p<0.01, (β = 0.170, p<0.05)] and social influence [(β = 0.411, p<0.01), (β = 0.170, p<0.05)] significantly impact the perceived usefulness as well as perceived ease of use, respectively. Individual innovativeness also affects the perceived usefulness (β = 0.004, p<0.05) and perceived ease of use (β = 0.281, p<0.01). Moreover, the study found that attitude towards using Ag 5.0 is significantly influenced by perceived usefulness (β = 0.083, p<0.10) and ease of use (β = 0.189, p<0.01), which, in turn, affects the intention to use Ag 5.0 (β = 0.858, p<0.01). Farmers perceive training programs, government assistance, and subsidies as helpful in overcoming challenges associated with adopting Ag 5.0. This study provides valuable insights for policymakers, development partners, and farmers’ organizations, enabling them to understand the factors influencing the readiness for Ag 5.0 adoption in Nepal. |
| Contains Sensitive Content | Does not contain sensitive content |
| ANZSRC Field of Research 2020 | 300202. Agricultural land management |
| Byline Affiliations | Pokhara University, Nepal |
| Auburn University, United States | |
| University of Southern Queensland | |
| Northwest Institute of Eco-Environment and Resources, China | |
| Tribhuvan University, Nepal | |
| Johns Hopkins University, United States |
Permalink -
https://research.usq.edu.au/item/z99z8/technology-in-farming-unleashing-farmers-behavioral-intention-for-the-adoption-of-agriculture-5-0
Download files
22
total views10
total downloads5
views this month0
downloads this month