Research on Innovation and Entrepreneurship Mode of Precision Agricultural Planting Supported by Big Data Technology

Authors

  • LIU Wentao Author
  • ZHAN Tao Author
  • ZHAO Wenzhen Author

DOI:

https://doi.org/10.65196/bq466s89

Keywords:

Big data; Precision planting; Smart agriculture; Innovation and entrepreneurship mode; Digital transformation

Abstract

With the continuous progress of agricultural modernization, big data technology has provided critical support for precision planting. This paper focuses on the development path of precision agricultural planting promoted by big data, and explores the operation modes and mechanisms of this planting mode in the field of agricultural innovation and entrepreneurship. By sorting out and analyzing the application frameworks of core technologies such as the Internet of Things, remote sensing observation and cloud computing, this paper constructs a massive data support system required for precision planting, and summarizes four different innovation and entrepreneurship modes: platform-based data service mode, multi-party collaborative operation mode, public co-creation incubation mode and comprehensive solution supply mode. Research shows that big data has significantly improved the scientificity of agricultural production decision-making and enhanced resource utilization efficiency, and spawned many new technical service industries. However, there are also many problems, such as difficulties in data sharing, low participation of small farmers, and single profit mode. This paper puts forward improvement suggestions in terms of policy guidance, platform construction, personnel training and ecological cooperation, so as to provide theoretical support and application reference for the sustainable development of smart agriculture.

Published

2026-04-30

Issue

Section

文章

How to Cite

Research on Innovation and Entrepreneurship Mode of Precision Agricultural Planting Supported by Big Data Technology. (2026). Journal of Science and Technology Exploration, 2(4), 29–36. https://doi.org/10.65196/bq466s89