Formation Mechanism and Implementation Path of a Digital Agriculture Innovation Ecosystem

Yongxiang He, Jinghua Song, Wenjun Ouyang, Qinghua Li
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引用次数: 1

Abstract

: Digital agricultural innovation ecosystems defined the notion of agricultural innovation ecosystems in regional areas. Developing a data economy for agriculture based on digital spaces necessitates an awareness of and proficiency with digital innovation ecosystems. The digital formation of agriculture has played a great role in enhancing agrarian production, encouraging the ecological development of the agricultural economy, and accomplishing sustainable economic goals. The profound integration of the digital economy and the agriculture industry has become a major concern. A multifaceted technology expansion across the agricultural economy, a Remote Sensing Assisted Digital Agriculture Innovation Ecosystem (RS-DAIE) has been developed to enhance country-level digital agriculture requirements. Therefore, simple guidelines for building an efficient marketing strategy are crucial for expanding access to healthy food options and fostering the growth of organic farmers locally and internationally. The trial findings show that RS-DAIE has the finest accuracy by 98.9%, reliability rate by 99.3%, data transmission by 97.3%, and moisture content ratios, which are better than other technologies.
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数字农业创新生态系统的形成机制与实施路径
:数字农业创新生态系统定义了区域农业创新生态系统的概念。要发展基于数字空间的农业数据经济,就必须了解并熟练掌握数字创新生态系统。农业数字化对提高农业生产、促进农业经济生态化发展、实现可持续经济目标发挥了巨大作用。数字经济与农业产业的深度融合已成为人们关注的焦点。遥感辅助数字农业创新生态系统(RS-DAIE)是一项横跨农业经济领域的多元技术拓展,旨在提高国家层面的数字农业要求。因此,建立高效营销战略的简单指南对于扩大健康食品的可及性以及促进本地和国际有机农户的发展至关重要。试验结果表明,RS-DAIE 的准确度为 98.9%,可靠性为 99.3%,数据传输率为 97.3%,水分含量比为 97.3%,均优于其他技术。
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