Huawei focuses on the agricultural sector: leveraging AI to address industry pain points and reshape the smart agriculture ecosystem.

In 2025, leveraging its technological strengths in artificial intelligence, cloud computing, and big data, Huawei Technologies Co., Ltd. has emerged as a pivotal enabler of China’s agricultural modernization, successfully addressing longstanding challenges across the sector. Through strategic collaborations with leading universities, national research institutions, and industry‑leading enterprises, the tech giant has launched a series of targeted initiatives, reshaping the landscape of precision agriculture, scientific research, and industrial digitalization.

This article will focus on Huawei’s multifaceted contributions to reshaping the agricultural sector by 2025, offering an in-depth analysis of its technological breakthroughs, collaborative models, and the tangible impact on the agricultural value chain.

Precision Agriculture: Providing Data-Driven Solutions for On-Farm Production

The collaboration between Huawei and Northwest A&F University has yielded a landmark achievement: the launch of the “JiuRangYunXing” agricultural large-scale model. Built on a domestically developed computing platform, this model has successfully overcome longstanding challenges in traditional agriculture—such as data fragmentation, difficulties in integration, and low analytical efficiency—by leveraging cutting-edge technologies including multi-source data fusion, knowledge graph construction, and intelligent decision-making. It has thus established six major application frameworks, spanning fruit cultivation, animal husbandry, field crops, Chinese medicinal herbs and tea production, smart control, and soil conservation.

The core strength of “JiuRangYunXing” lies in its precise problem-solving capabilities. By integrating vast academic resources—such as master’s and doctoral dissertations and specialized textbooks—with frontline production data, the model enables farmers to swiftly connect with expert support, delivering tailored solutions for a wide range of challenges, from apple pollination to genetic breeding. Currently, the model has been piloted across seven provinces and autonomous regions, including Shaanxi, Shanxi, Sichuan, and Xinjiang, serving over 200,000 mu of farmland and generating economic benefits exceeding RMB 100 million. Looking ahead, the model will further refine its human–machine natural interaction features, making agricultural technologies more accessible and easier for farmers to adopt.

Scientific Research and Innovation: Accelerating Agricultural R&D Progress

The collaboration between Huawei Cloud and the Chinese Academy of Agricultural Sciences has ushered in a revolutionary leap in agricultural research. At the 2025 Huawei Developer Conference, the Agricultural Science Discovery Large Model was unveiled and underwent an upgrade in September, successfully addressing key challenges in traditional breeding—namely its heavy reliance on empirical knowledge, lengthy R&D cycles, low data utilization, and high trial-and-error costs.

This model is built on Huawei Cloud’s AI scientific computing platform and the Pangu foundational NLP large model, featuring core modules such as a knowledge‑computing engine, a data‑analysis engine, and intelligent interaction. It establishes an end-to-end digital closed loop, spanning from “AI‑driven literature review and candidate gene selection” and “AI‑powered multi‑omics data analysis for gene‑function validation” to “AI‑assisted experimental protocol design.” In real-world applications, it has facilitated rice plant‑architecture improvement, reducing plant height by approximately 25% while maintaining stable yields and enhancing lodging resistance. In the field of genetic research, it has shortened the time required for experimental design and evaluation from several months to just a few weeks.

The upgraded model further expands its core capabilities: the knowledge base has been scaled from over one million full-text documents to more than two million, covering over 50 key species and totaling over ten billion data entries; it integrates more than 100 specialized analytical tools and predictive models, refines its intelligent trait‑design simulation functionality, and adds new modules for variety selection, growth‑stage assessment, and pest‑and‑disease identification. Leveraging a “no‑code” natural language analysis feature, researchers’ efficiency has improved by roughly tenfold, enabling computations and design simulations involving over a thousand steps to be completed within 24 hours, with efficiency gains exceeding 90% in related workflows.

Ecological Collaboration: From Talent Development to Industrial Upgrading

Huawei’s vision for collaboration extends beyond technological R&D, aiming instead to build a comprehensive agricultural ecosystem. In April, Huawei signed a comprehensive cooperation agreement with South China Agricultural University, focusing on five key areas: digital campus development, digital education, digital research, digital social services, and the enhancement of digital literacy among faculty and students. Leveraging Huawei’s technological strengths in the ICT field, the two parties will jointly establish an agricultural big-data innovation center and a digital education platform, fostering specialized talent to drive agricultural modernization and rural revitalization.

In November, Huawei and the Yanzhou Bay National Laboratory—the only national laboratory dedicated to agriculture—jointly launched “Fan | Future Agricultural Intelligence Hub.” This AI‑driven platform integrates genomics, phenomics, and environmental omics data into standardized datasets, supported by data‑processing tools and specialized breeding agents, thereby automating data screening, analysis, modeling, and decision‑making. This innovation has shortened the traditional breeding cycle from 8–10 years (20 generations) to 3–4 years (5 generations), reducing the timeline by 50% while boosting efficiency by 30%.

At the industry‑application level, Huawei Cloud’s collaboration with Wens Food Group has set a benchmark for digital transformation in the agriculture and animal husbandry sector. Since 2021, the two parties have jointly built an intelligent IoT system covering all farming units, leveraging Huawei Cloud’s edge‑cloud collaborative architecture to enable unified cross‑regional data management. The platform supports functions such as disease prediction, precision feeding, and intelligent environmental control, helping Wens’ 43,000 partner farms nationwide improve operational efficiency and biosecurity standards.

Conclusion: Sowing the Seeds of Digital Transformation

Huawei’s agricultural initiatives for 2025 articulate a clear strategic core: seamlessly integrating technological innovation with deep agricultural expertise to deliver end-to-end solutions. From equipping individual farmers with precision tools to transforming research workflows and industrial operating models, Huawei has established a collaborative ecosystem that spans academia, research, and industry.

These efforts not only address the industry’s pressing needs today but also align closely with national strategic goals such as food security, rural revitalization, and self-reliance in science and technology. As Huawei continues to deepen its collaborations and refine its technologies, the vision of smart agriculture is steadily becoming a reality—helping to build more efficient, sustainable, and resilient agricultural systems for China and the world. By 2025, Huawei has demonstrated through concrete action that technology is not merely a tool for progress; it is a catalyst for shaping a brighter future.

Source: WeChat Official Account: Bilingual Smart Agriculture – LearnSomeAgtech