【摘要】 【目的】耕地作为土地科学研究中的重要部分,已成为土地科学研究的热点。随着社会经济的发展,科学技术的不断革新,传统耕地利用面临着诸多问题一直未能有效解决。本文将海量数据、互联通信、深度学习和人工智能等现代科技技术运用到传统耕地利用和管理中,解决当前耕地利用急需解决的问题。【方法】通过构建智慧耕地理论框架体系,耦合传统耕地利用与现代科技发展的新兴产物,将现代科学技术有机地融入到传统耕地利用中,解决了传统耕地面临的诸多问题。【结果】在现有土地利用研究基础上,构建了我国智慧耕地发展的框架结构,提出了我国智慧耕地重点研究方向和关键问题。【结论】该研究将有助于提高我国耕地的利用和管理水平,为应对全球变化和国际贸易的冲击,保障我国的粮食安全和解决"三农"提供了方向。更多还原

【Abstract】 [Purpose]As an important part of land science research,cultivated land has become a hot spot in land science research. With the development of the social economy and the continuous innovation of science and technology,the traditional cultivated land use is facing many problems that haven’t been effectively solved. In this paper,modern technologies such as massive data,Internet communication,deep learning and AI are applied to the traditional land use and management,so as to solve the problems that need to be solved urgently in the field of cultivated land use.[Method]By building the theoretical framework of intelligent farmland and coupling the emerging products of traditional land use and modern technology development,we integrate the modern science and technology into the traditional land use,and solve many problems faced by traditional cultivated land.[Result]Based on the existing land use research,this study constructs a framework for the development of intelligent farmland as well as puts forward 5 key research directions and 3 key problems of intelligent farmland in China.[Conclusion]This research will help improve the utilization and management level of cultivated land in China,and provide a direction for ensuring China’s food security and solving the "three rural issues" in response to the impact of global change and international trade.更多还原