Located in Tumxuk City, Xinjiang Production and Construction Corps, this 40,000-mu (≈6,600-acre) high-efficiency cotton farm leverages smart agriculture technologies to optimize production, resource efficiency, and sustainability. The project integrates IoT monitoring, data-driven decision-making, and automated irrigation to modernize cotton cultivation.
Visualized Big Data Platform
Equipment status (pumps, sensors, irrigation systems)
Field conditions (soil moisture, weather, pest activity)
Farming operations (irrigation, fertilization, pest control)
A centralized smart farming management platform aggregates real-time data on:
Dynamic dashboards enable remote monitoring and precision adjustments.
Four-Condition Monitoring System
Meteorological stations track weather patterns.
Soil moisture sensors optimize irrigation timing.
AI-powered pest traps identify and count insects for targeted control.
Video surveillance monitors crop growth and field operations.
Data-driven insights guide critical farming stages: land prep, sowing, topping, defoliation, and pest management.
Automated Water-Fertilizer Integration
Precision delivery of water/nutrients based on crop needs.
Automated scheduling to reduce waste and labor costs.
Upgraded canal networks, pumping stations, and smart fertigation systems ensure:
Resource Efficiency
Irrigation water utilization coefficient exceeds 0.57 (vs. ~0.45 in traditional farming).
Water supply reliability >85%, minimizing drought risk.
Yield & Sustainability Gains
10%+ increase in cotton yield per mu.
Reduced fertilizer/pesticide use via mobile application.
Lower ecological impact from runoff and chemical pollution.
Economic & Industry Impact
Supports Xinjiang Corps’ high-quality cotton industry development.
Demonstrates scalable smart farming for arid regions.
This project exemplifies how IoT, big data, and automation can transform large-scale cotton farming into a high-yield, low-waste, and eco-friendly system—aligning with global demand for sustainable and traceable textile raw materials.
