Xingeng Tech (EcoLoop AgriCore Technology Limited) is a smart agriculture company rooted in the Guangdong-Hong Kong-Macao Greater Bay Area. We take AIoT sensing and edge computing modules as the foundation, combined with AgriOS agricultural operating system and device orchestration engine, closing the full loop "from field to home": growth forecasting, prescription decisions, closed-loop control of irrigation / supplemental lighting / roller shutters, quality traceability and cold-chain fulfillment, while generating carbon footprint and green indicator reports, so growth can be seen, delivery can be verified, and data drives stable growth.
We bring more than ten years of hands-on experience across 40+ farms, covering vegetables, fruit, coffee, flowers and other scenarios, delivering on average about 30% lower labor cost, about 15% savings in water and fertilizer, and about 15% higher yield, with a payback period of about 2-4 years。
At the same time, we turn operational data into quantifiable results - water savings, loss reduction, pass rate and carbon footprint - and connect them with subsidies and green finance, forming a positive cycle of technology, operations and capital, and linking every acre of farmland into a stable, verifiable green supply network.
Operational Closed Loop | Delivery from Field to Home
AI Engine | Model-Driven Decisions
Operational Closed Loop | Delivery from Field to Home
Our Services
AI identification of pests, diseases and anomalies detects risks early and gives prescription-level advice, reducing losses and stabilizing yield.
Build the agricultural data foundation and operating system, generate planting strategies in minutes, and continuously optimize farm decisions
Deploy AIoT sensor networks and edge computing for tiered data capture and real-time monitoring, making data more accurate and stable.
Our Products
Xingeng Tech upgrades farm management from "experience management" to "model management". Through AIoT sensing networks and edge computing, key data is captured stably; agricultural foundation models and the AgriOS operating system then forecast, alert and generate strategies, helping farms make earlier and more accurate decisions on sowing dates, water and fertilizer, pests and diseases, environmental control and harvest rhythm. At the same time, we connect the production process, quality grading, traceability and
We use AIoT sensing to keep soil, weather, environment and crop status continuously "online", and apply agricultural foundation models for trend judgment and risk alerts. The system gives advance action recommendations at key nodes (irrigation rhythm, water-fertilizer formula, temperature and humidity control, pest control windows), so decisions move from "gut feeling" to "evidence-based". What you see is not just data, but more stable yield, more controllable quality and more predictable
We break the "experience" of veteran farm masters into reusable rules and models: what to do when, to what extent, and how to respond to which signals. AgriOS turns strategy into executable tasks, drives implementation, and continuously calibrates through process curves and outcome indicators - the more it is used, the more accurate and stable it becomes. The result is a replicable standard operating system, not someone's on-the-spot judgment
When data can be accumulated, processes traced and results verified, a farm stops being a "black box" and becomes a business asset that others recognize. We connect production management, quality grading, traceability and fulfillment data into a comparable evidence chain, and can output materials on water savings, loss reduction, pass rate, loss ratio, carbon footprint and green indicators. It serves not only the day's planting decisions, but also large-scale replication, ESG disclosure, government project applications and
