Beijing Zhongke Yuandongli Technology

Beijing Zhongke Yuandongli Technology, also known as AiForceTech, is a manufacturer of AI-driven agricultural machinery, founded in 2018. The company was incubated at the Institute of Microelectronics of the Chinese Academy of Sciences and is led by Li Deyi, an academician of the Chinese Academy of Engineering. The founder and CEO, Dr. Han Wei, graduated from Tsinghua University's computer science department and previously led the team that conducted the world's first road test of a driverless bus in 2015. This background in autonomous driving is central to the company's mission to address labor shortages and aging populations in the agricultural sector by making farming operations safer and more efficient.

The company's business revolves around providing agricultural producers with robotics products capable of automated, precision operations around the clock. Revenue is primarily generated from the sales and service of this unmanned farm equipment. Its clientele includes large state-owned enterprises like Beidahuang Group and COFCO. The company operates in the global smart agriculture market, with a focus on addressing challenges such as labor shortages, rising production costs, and the need for sustainable, high-yield farming. As part of its global expansion, AiForceTech has signed an agreement to implement its technology in Pakistan's Punjab province.

AiForceTech offers a comprehensive suite of products designed for various agricultural scenarios including dry land, paddy fields, greenhouses, and livestock farming. The product lineup consists of four main series: the "Zhiyun" series, an unmanned operating system that can be retrofitted to existing machinery; the "Zhiniu" series of unmanned intelligent agricultural machines; the "Zhinong" series of multifunctional robots for tasks like transport and spraying; and the "Wantu" series of high-end pure electric intelligent tractors. The "Wantu" series covers a wide power range and is designed to reduce energy costs by up to 80% and increase operational efficiency by over 30% compared to traditional machinery. The company's technology enables features like multi-vehicle collaboration, remote control, and automatic obstacle avoidance, allowing a single person to manage multiple machines.

Keywords: agricultural robotics, autonomous farming, smart agriculture, AI in agriculture, unmanned agricultural machinery, precision agriculture, electric tractors, farm automation, AgTech, agricultural technology, driverless tractors, sustainable farming, digital agriculture, robotic harvesting, crop monitoring, automated spraying, intelligent farming, farm efficiency, agricultural innovation, livestock farming automation