Smart Partners, Cultivating the Future | WAIC 2026, the Global AI Summit, Unveils New Industry Opportunities in Agricultural Autonomous Driving

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From July 17 to 20, the 2026 World Artificial Intelligence Conference (WAIC) and the High-Level Conference on Global AI Governance kicked off in Shanghai. Centered on the theme “Intelligent Partners, Co‑Creating the Future,” the event brought together policymakers, industry leaders, academia, and research institutions from over a hundred countries worldwide. Participants engaged in in-depth discussions on AI‑driven industrial innovation, global collaborative governance, and the practical deployment of inclusive AI, while reaffirming a development agenda that balances growth with security, upholds the principle of AI for good, and promotes digital transformation through coordinated, multi‑stakeholder governance.

I. The conference’s core guiding principles are highly aligned with our agricultural unmanned‑vehicle business.

In line with China’s National Smart Agriculture Action Plan (2024–2028) and the requirements of the 2026 Central No. 1 Document, the state has explicitly committed to accelerating the large-scale deployment of Beidou‑based autonomous agricultural machinery, establishing ten‑thousand‑mu‑scale unmanned farms, and integrating advanced AI models deeply into every stage of the farming process—from sowing and cultivation to management and harvesting. WAIC bridges domestic and international policies with global industry needs, delivering triple policy-driven benefits to Paravale.

Domestic demonstration projects are accelerating: smart farms, high-standard farmland, and state‑owned agricultural bases across the country are increasing subsidies for the procurement of unmanned systems. The company’s fully autonomous, driverless agricultural machinery solutions can be rapidly deployed in scenarios such as crop production, orchards, hilly and mountainous terrain, mowing, and material handling.

Global cooperation channels are expanding: The conference has established a platform for connecting agricultural technologies across multiple countries. Grain-producing regions in Southeast Asia, Central Asia, and Latin America are experiencing surging demand for low-cost, highly adaptable domestically produced unmanned agricultural machinery, providing an official communication channel to support Paravales’ overseas business expansion.

Specialized Support for Technological R&D: The Conference’s Industry–University–Research Innovation Alliance has established a dedicated initiative on “AI Empowering Food Security,” enabling enterprises to collaborate with universities and research institutes to submit applications for core technology projects in intelligent sensing, multi-robot collaboration, and agricultural data governance.

II. Deep Technological Alignment: Upholding the Principles of AI for Good and Inclusive Industrial Development

WAIC has articulated core principles for AI development—putting people first, balancing innovation with safety, and ensuring both broad accessibility and effective data governance—which align perfectly with the underlying rationale guiding the R&D of Pavalace’s autonomous agricultural systems.

Multi-scenario applications

Autonomous operations across all scenarios, leveraging AI to address the critical challenges of agricultural labor.

The conference highlighted the practical achievements of “replacing repetitive, high-risk labor with machines.” Paowales Xinrui’s Haohan autonomous driving system, powered by its proprietary high-precision electric cylinder actuators, multimodal vision–LiDAR fusion perception, and Beidou global positioning algorithms, enables fully unmanned operations across the entire agricultural workflow—seeding, fertilization, crop protection, and harvesting.

• Compatible with diverse terrains, including flat farmland, hilly orchards, and greenhouse facilities; features autonomous obstacle avoidance and multi-robot collaborative swarm operations.

• Precise management of water, fertilizers, and pesticides reduces losses of agrochemicals and fertilizers by more than 30%, aligning with the global trend toward green, low-carbon agriculture.

• Lightweight, modular design enables low-cost deployment for both small and large farmers as well as family farms, thereby fulfilling WAIC’s commitment to inclusive AI development.

Integrated hardware–software R&D, breaking down overseas technology barriers and building core competitiveness for domestically produced smart agricultural machinery.

The WAIC Global Industry Forum underscored the need for countries to accelerate self-reliance and controllability in core AI hardware, thereby avoiding technological bottlenecks. Leveraging its proprietary industrial‑grade high‑precision electric cylinders, servo drives, and autonomous driving control algorithms, Pavalais has achieved domestic production of all key components in its agricultural unmanned systems. Compared with similar overseas equipment, its solutions offer superior adaptability, lower costs, and easier maintenance, enabling it to serve China’s smart agriculture while also exporting affordable, intelligent agricultural machinery to developing countries worldwide—thus embodying the conference’s vision of “working together for shared prosperity and inclusive benefits” in global AI governance.

III. Leveraging Compliance‑Driven Smart Agricultural Machinery to Align with WAIC’s Development Vision

For us, we consistently maintain a pragmatic approach to development: agricultural AI is a tool to support farming, and autonomous driving is an auxiliary means to optimize production; the key is to align with the realities of agriculture and meet the needs of farmers.

Building on the industry trends unveiled at this year’s WAIC, we will remain focused on refining our technologies and optimizing their application in real-world scenarios, continuously enhancing equipment reliability and adaptability to diverse use cases, and delivering an improved user experience. We are committed to providing robust, practical technical solutions that drive the modernization of agriculture toward greater automation, standardization, and lightweight deployment.