In order to increase field safety and minimize chemical usage, XAG and Bayer Crop Science collaborated in 2023 to create AI-driven prescription maps and UAS-based delivery systems for precision crop protection and pest management in China. These systems integrate sensors, machine learning, and flight automation.
By incorporating image-recognition modules and climate-adaptive algorithms into its cloud platform in March 2024, Alibaba Cloud broadened its agricultural AI solutions, allowing large-scale Chinese farms to optimize yield and identify diseases in real time.
As part of their ongoing Tech for Agri leadership, Pinduoduo, the FAO, and Zhejiang University organized a Digital Agriculture Innovation Bootcamp in May 2025, where they trained agripreneurs from eight different nations in data modeling, AI-based agritech tools, and field-level pilots.
In late 2023, Tencent introduced its enterprise-use Hunyuan large-language model, which is anticipated to facilitate AI-powered decision assistance for agricultural businesses that utilize Tencent Cloud infrastructure.
Throughout 2023–2025, DJI will continue to improve its Agras drone series, which includes the T25/T50 models that were introduced in 2022. These drones have AI-optimized spraying, phased-array radar, RTK navigation, and crop-sensing technologies that are extensively used on Chinese farms.
Although particular agriculture trial deployments were not made public, Baidu and Alibaba both carried on improving AI image segmentation, soil analysis, and IoT integration on their cloud platforms in 2024. All of these developments show how the applied AI ecosystem in China's agriculture business has grown since January 2023, driven by companies like Tencent, XAG, DJI, Alibaba, and Pinduoduo.
China Applied AI
