Uzbekistan studies Chinese smart farming technologies to modernize agriculture

A delegation from Uzbekistan, comprising administrators from leading agricultural universities, managers of agrotechnological enterprises, and representatives of the FAO Office in Uzbekistan, completed a familiarization trip to the Xinjiang Uyghur Autonomous Region of China.

Objective and Scope of Study

The main goal of the visit was to study advanced digital and smart farming systems. This trip was organized under the 'China–Central Asia' cooperation mechanism, which aims to improve agricultural education, accelerate technology transfer, and strengthen scientific and technical ties between neighboring regions.

The delegation participated in the 'Training Program for Central Asian Countries on Integrating Education and Production in Modern Agriculture,' overseen by the China-Central Asia Poverty Reduction Cooperation Center.

Relevance of Technology Implementation

Amid escalating global climate change, acute water shortages in the region, and growing demand for increased yields, the implementation of resource-saving technologies has acquired critical geopolitical significance for Uzbekistan.

Key Areas of Study

The central part of the program involved a stay at the Xinjiang Agricultural Vocational and Technical University in Urumqi, conducted in collaboration with the Western Research Center of the Chinese Academy of Agricultural Sciences (CAAS). Uzbek agronomists closely examined the latest agricultural developments, observing their practical application on large industrial farms.

Significant attention was paid to the facilities of Huier Agriculture, a major regional agrotechnological enterprise. The company demonstrated its automated 'water and fertilizer integration' (fertigation) systems. This precision agriculture system synchronizes drip irrigation with the delivery of liquid nutrients, significantly increasing water use efficiency while maximizing crop yield. Such resource-saving models are well-suited for the arid and semi-arid climates characteristic of most agricultural lands in Uzbekistan.

Innovations and Production Methods

The educational program also covered the implementation of Industry 4.0 solutions in modern agronomy. Delegates were introduced to demonstrations of the Internet of Things (IoT), big data analytics, and Artificial Intelligence (AI) models used for real-time monitoring of crop biometric indicators, yield forecasting, and automation of complex field processes.

Furthermore, the team studied Chinese methods for breeding high-yield cotton varieties, automated post-harvest processing systems, and strict food quality control standards. Special attention was given to the Chinese 'triple spiral' agricultural integration model, which unites universities, research institutes, and agro-industrial conglomerates into a single commercial cycle.

Prospects for Cooperation

According to the Uzbek delegates, these localized technologies have high potential for immediate adaptation in their home country. Representatives noted that combining intelligent water supply networks with digital soil monitoring systems can optimize agriculture in Uzbekistan's vulnerable, drought-prone areas. Moreover, the educational integration model will help domestic universities prepare a new generation of high-tech agricultural engineers.

Subsequently, the participating institutions identified a list of priority cooperation areas. The agreed roadmap includes pilot testing of digital precision farming systems in selected provinces of Uzbekistan, modernization of national water resource management systems, joint research on the genetics of high-productivity crops, and expanding long-term international scientific partnerships within the 'China–Central Asia' agricultural network.