Name
Title | ||
|---|---|---|
A hybrid modelling approach to understanding adoption of precision agriculture technologies in Chinese cropping systems |
Abstract | ||
|---|---|---|
•This research has proposed a precision agriculture technology adoption prediction model.•Need-technology fit, perceived benefit, facilitating conditions and perceived risk have significant impacts on farmers’ intention to adopt precision agriculture.•Facilitating conditions (e.g. knowledge, resources and access to consultant services) were found to play the biggest role in improving the willingness of arable farmers in the North China Plain to adopt precision agriculture.•Social influence, was not found to play a significant impact on farmers’ willingness to adopt precision agriculture in North China Plain agriculture. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.compag.2020.105305 | Computers and Electronics in Agriculture |
Keywords | DocType | Volume |
Precision farming,Reduced inputs,Technology adoption,Small-holder agriculture,Agricultural service providers,Structural equation modelling | Journal | 172 |
ISSN | Citations | PageRank |
0168-1699 | 0 | 0.34 |
References | Authors | |
0 | 14 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenjing Li | 1 | 0 | 0.34 |
| Beth Clark | 2 | 0 | 0.34 |
| James Taylor | 3 | 2 | 1.38 |
| Helen Kendall | 4 | 0 | 0.34 |
| Glyn Jones | 5 | 0 | 0.68 |
| Zhenhong Li | 6 | 165 | 47.51 |
| Shan Jin | 7 | 0 | 0.34 |
| J.-C. Zhao | 8 | 135 | 52.42 |
| Gui-Jun Yang | 9 | 148 | 33.61 |
| Chuanmin Shuai | 10 | 0 | 0.34 |
| Xin Cheng | 11 | 0 | 0.34 |
| Jing Chen | 12 | 0 | 0.34 |
| Hao Yang | 13 | 0 | 0.34 |
| Lynn J. Frewer | 14 | 0 | 0.34 |