Technology in farming: Unleashing farmers' behavioral intention for the adoption of agriculture 5.0

被引:0
|
作者
Mishra, Nitesh [1 ]
Bhandari, Nabin [2 ]
Maraseni, Tek [3 ,4 ]
Devkota, Niranjan [5 ]
Khanal, Ghanashyam [6 ]
Bhusal, Biswash [7 ]
Basyal, Devid Kumar [1 ]
Paudel, Udaya Raj [1 ]
Danuwar, Ranjana Kumari [1 ]
机构
[1] Pokhara Univ, Quest Int Coll, Gwarko, Lalitpur, Nepal
[2] Auburn Univ, Agr Econ & Rural Sociol, Auburn, AL USA
[3] Univ Southern Queensland, Toowoomba, Qld, Australia
[4] Northwest Inst Ecoenvironm & Resources, Lanzhou, Peoples R China
[5] Tribhuvan Univ, Patan Multiple Canpus, Patandhoka, Lalitpur, Nepal
[6] Auburn Univ, Coll Forestry Wildlife & Environm, Auburn, AL USA
[7] Johns Hopkins Univ, Dept Appl Econ, Baltimore, MD USA
来源
PLOS ONE | 2024年 / 19卷 / 08期
关键词
STRUCTURAL EQUATION MODELS; PERCEIVED USEFULNESS; ACCEPTANCE MODEL; UNOBSERVED HETEROGENEITY; USER ACCEPTANCE; EASE; VARIABLES; DETERMINANTS; DIRECTIONS; INNOVATION;
D O I
10.1371/journal.pone.0308883
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 [(beta = 0.101, p<0.01); (beta = 0.188, p<0.01)], self-efficacy [(beta = 0.312, p<0.01, (beta = 0.170, p<0.05)] and social influence [(beta = 0.411, p<0.01), (beta = 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 (beta = 0.004, p<0.05) and perceived ease of use (beta = 0.281, p<0.01). Moreover, the study found that attitude towards using Ag 5.0 is significantly influenced by perceived usefulness (beta = 0.083, p<0.10) and ease of use (beta = 0.189, p<0.01), which, in turn, affects the intention to use Ag 5.0 (beta = 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.
引用
下载
收藏
页数:28
相关论文
共 50 条
  • [1] IT as enabler of sustainable farming: An empirical analysis of farmers' adoption decision of precision agriculture technology
    Aubert, Benoit A.
    Schroeder, Andreas
    Grimaudo, Jonathan
    DECISION SUPPORT SYSTEMS, 2012, 54 (01) : 510 - 520
  • [2] Unleashing the power of social media: examining farmers' adoption for agriculture knowledge exchange
    Doanh, Nguyen
    Linh, Truong Tuan
    Pham, Thi Tuan Linh
    VINE JOURNAL OF INFORMATION AND KNOWLEDGE MANAGEMENT SYSTEMS, 2024,
  • [3] Determinants of farmers' adoption and adaptation of alley farming technology in Nigeria
    Adesina, AA
    Chianu, J
    AGROFORESTRY SYSTEMS, 2002, 55 (02) : 99 - 112
  • [4] Socioeconomic factors influencing farmers' adoption of alley farming technology under intensified agriculture in Imo State, Nigeria
    Onu, Donatus Orji
    PHILIPPINE AGRICULTURAL SCIENTIST, 2006, 89 (02): : 172 - 179
  • [5] Determinants of farmers' adoption and adaptation of alley farming technology in Nigeria
    Akinwumi A. Adesina
    Jonas Chianu
    Agroforestry Systems, 2002, 55 : 99 - 112
  • [6] Farmers' Knowledge, Attitude, and Adoption of Smart Agriculture Technology in Taiwan
    Chuang, Jui-Hsiung
    Wang, Jiun-Hao
    Liou, Yu-Chang
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (19) : 1 - 8
  • [7] The technology adoption behavior of women farmers: The case of alley farming in Nigeria
    Ogunlana, EA
    RENEWABLE AGRICULTURE AND FOOD SYSTEMS, 2004, 19 (01) : 57 - 65
  • [8] Farmers' perspectives on the adoption of smart farming technology to support food farming in Aceh Province, Indonesia
    Agussabti, Agussabti
    Rahmaddiansyah, Rahmaddiansyah
    Hamid, Ahmad Humam
    Zakaria, Zakaria
    Munawar, Agus Arip
    Abu Bakar, Basri
    OPEN AGRICULTURE, 2022, 7 (01): : 857 - 870
  • [9] Risk Cognition, Social Learning, and Farmers' Adoption of Conservation Agriculture Technology
    Ren, Yaqin
    Feng, Hui
    Gao, Tianzhi
    AGRICULTURE-BASEL, 2023, 13 (08):
  • [10] Hungarian Farmers and the Adoption of Precision Farming
    Czibere, Ibolya
    Kovach, Imre
    Loncsak, Noemi
    EUROPEAN COUNTRYSIDE, 2023, 15 (03): : 366 - 380