Alibaba's Qwen3.7-Plus powers swine AI diagnosis, cuts inspection to seconds

Alibaba Cloud has partnered with Muyuan Group, China's largest pig farming company, to deploy an AI agent for diagnosing swine diseases. Built on the Qwen3.7-Plus multimodal model, the 'Xiaomu Assistant' synthesizes 18 types of structured data—including temperature, respiratory patterns, and feed intake—alongside professional veterinary expertise. The system reduces health inspection time from minutes to seconds, enabling near-real-time disease detection across large herds. This collaboration highlights how domain-specific AI agents can transform traditional livestock management by combining massive data streams with specialized knowledge.

In tandem with the veterinary AI, Alibaba's Model Studio development platform released an open-source command-line interface (CLI). The CLI allows AI agents to programmatically access over 150 multimodal models spanning text, image, video, and audio modalities. This move reduces friction for developers building agentic applications, particularly in agriculture and other data-intensive sectors. By open-sourcing the tool, Alibaba aims to accelerate adoption of its Qwen model ecosystem while enabling fine-grained control over model selection for specific use cases like disease diagnosis or supply chain optimization.