About Jiafu
Shandong Jiafu Agricultural Equipment Co., Ltd. is a provider of end-to-end application-level solutions for agricultural robotics. We focus on delivering practical, field-ready solutions that solve real-world farming challenges—driving tangible value through technology implementation, not empty marketing hype.
Core Operations Team
Uniting industry veterans and emerging talent to drive innovative growth.
Zhang Yinghong
PhD from Eötvös Loránd University (Hungary); Cloud Business Researcher. Specialized in autonomous driving, cloud computing, big data, and AI modeling; expert in cloud operations and full-stack database technologies. Formerly with Alibaba and Huawei overseas teams, led the deployment of cross-border cloud platforms and automated monitoring systems, with extensive experience in international client operations management. Possesses strong strategic vision and industry resource integration capabilities; spearheaded overall company development planning and major decision-making.
Sun Shuhui
Ph.D. in Mechanical Engineering with extensive experience in building marketing teams and expanding international markets within the mechanical manufacturing industry. Skilled in corporate operations management and market development, overseeing business strategy and resource allocation to drive operational efficiency and increase market share.
Good luck
90 New Generation Farmer who previously led the deployment and application of smart agricultural machinery at a top industry enterprise, specializing in the construction and demonstration of unmanned farms. With extensive experience in autonomous tractors, intelligent harvesters, and smart agriculture management platforms, they have significantly improved farming efficiency while reducing labor costs. Featured in a CCTV News interview to share practical insights on smart machinery and AI-driven precision farming, they are a leading representative of smart agriculture and machinery intelligence implementation in Weifang.
Cui Yanliang
Senior Engineer with 30 years of experience in mechanical design and manufacturing. Recipient of the Weifang Chief Technician Award, the Weifang May 1st Labor Medal, and the Shandong Enterprise Innovation Pioneer. Currently serves as President of the New Generation Entrepreneurs Association. Developed an industrial AI brain integrating machine vision and AI algorithms, significantly enhancing production line intelligence and advancing the implementation of smart manufacturing through industry-academia-research collaboration.
Technical Advisory Team
Backed by top-tier academic and industry experts from China and abroad to provide strong support for R&D.
Dr. Liang Chen
PhD Supervisor; Senior Lecturer in Computer Science at Heriot-Watt University, UK; PhD in Information Security from Royal Holloway, University of London. His research focuses on AI security, IoT, cybersecurity, computational trust, access control, and large language model (LLM) safety. Currently, he leads research on deploying LLMs securely for enterprise B2B applications and supervises PhD students in AI and cybersecurity.
Kang Jiayi
PhD in Mathematics from Tsinghua University; previously held positions at BIMSA and the Hetao Institute for Mathematics and Interdisciplinary Research. Specializes in deep learning, nonlinear filtering, Wasserstein sampling, and their intersection with computational biology. Applies nonlinear filtering to multi-sensor noise reduction and precise fruit recognition in orchard robots; leverages geometric sampling to optimize visually imbalanced datasets; integrates biological growth modeling to build orchard dynamics models that support intelligent decision-making for harvesting and plant protection robots, addressing challenges in perception and autonomous scheduling of unmanned equipment in complex orchard environments.
Laszlo Gulya
PhD supervisor and scholar at Harvard University with over 20 years of expertise in AI and computational social science. Currently serves as Professor and Deputy Director of the Industry-Research Institute at Roland University, and leads the Hungarian AI EDIH project. Previously held roles including Regional Director for EIT Digital Hungary, Head of R&D at AITIA, and CTO of a technology firm, with a visiting scholar experience at Harvard. Manages innovation ecosystem projects across Central and Eastern Europe, combining academic research, corporate technology management, and international AI industry empowerment to support SME digital transformation.
Zhang Peng
Postdoctoral Researcher at Tsinghua University, Shuimu Scholar. M.S. in Vehicle Engineering from Nanjing University of Aeronautics and Astronautics. Specializing in combustion chemical reaction kinetics. With years of expertise in AI and robotic vehicle dynamics, led R&D teams to overcome critical technical challenges and build a robust technology moat.
Core Technical Capabilities
Full-stack proprietary control system architecture, establishing a comprehensive technical moat.
BMS Battery Management System
Self-designed battery management system that monitors battery status in real time to ensure safe charging and discharging while extending battery lifespan.
Autonomous Path Planning
Integrates GNSS-RTK centimeter-level positioning, radar, and visual sensors to enable both autonomous and remote control operation modes.
ECU Master Control System
As the device's "intelligent brain," it orchestrates all functions—including locomotion, operation, and navigation—to achieve full-vehicle collaborative control.
Integrated RTK Navigation and Electronic Control
Deeply integrate the navigation system with the electronic control system to simplify architecture, enhance reliability, and improve response speed.
Modular chassis design
Standardized interface design enables quick module swapping for multi-purpose use, reducing total cost of ownership.
Core Technical Advantages
Full-stack proprietary technology: from low-level control to intelligent navigation, building a comprehensive technical barrier.
Full-stack self-developed underlying control system
End-to-end R&D from hardware to software, integrating BMS battery management, ECU control, RTK navigation, and electronic control for a stable and reliable system.
Intelligent Path Planning Navigation System
Combines GNSS-RTK centimeter-level positioning with AI vision-based obstacle avoidance, supporting both autonomous and remote-controlled operation modes with a working accuracy of ±2.5 cm.
Unified Intelligent Crawler Chassis
Modular tracked chassis designed for diverse complex terrains with superior climbing capability. Supports interchangeable work modules for multi-functionality.
Advanced Powertrain Systems
Dual powertrain options: hybrid electric and fully electric. The generator ensures unlimited range, while the high-capacity battery pack delivers 4-5 hours of continuous operation on a single charge.
Modular design
Standardized interface design enables quick module swaps for flexible switching between spraying, mowing, and transport functions—reducing operational costs.
Looking forward to collaborating with you.
Whether you're a farmer, cooperative, or distributor, we look forward to partnering with you to advance agricultural intelligence.
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