Abstract
Through a questionnaire survey on family farms in Chongqing, Shaanxi, Henan, Liaoning, and other provinces and cities, the authors compared and analyzed the factor importance ranking results of three models—multiple linear regression, SNA social network, and multi-layer perceptron neural network—indicating that different research methods have different calculation results. The results are similar and consistent, and the role of agricultural mechanization and informatization services in the three stages of rice planting—harvesting, plowing, and sowing—is significant. The high use of agricultural machinery services during the harvesting, tillage, and sowing stages of rice planting can reduce the cost of rice planting on family farms.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Information Technology and Web Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
