The quality of breeding environment is one of the most important bottlenecks that restrict the sustainable development of waterfowl breeding. Good breeding environment can reduce the growth of disease or the harms brought by the disease, and improve the waterfowl's quality and quantity. This paper designs and implements a remote monitoring platform for waterfowl breeding environment based on internet of things. The platform is composed by three modules: remote monitoring/controlling terminal, front-end data processing center, and data acquisition terminal. The data acquisition terminal uses the processor LPC11C14, which is based on Cortex-M0 core; the front-end data processing center uses a tablet computer based on Cortex-A8 processor to do data analysis and management. As shown in the data acquisition test, the server and the mobile terminal all can stably receive the monitoring data of the waterfowl breeding environment. I. Intr oduction China is the waterfowl breeding center of the world, its products has an absolute advantage in the international market. Guangdong province is one of the largest provinces in waterfowl's in the production and consumption market, it has "the hometown of waterfowl" reputation. According to incomplete statistics, in 2014, the number of waterfowls of Guangdong province reache d 3,000,000,000, 3.5 percent bigger than that in 2013. Both the production of meat and eggs of water fowl are more than the national average. Waterfowl breeding environment is one of the important bottlenecks that restrict the sustainable development of waterfowl breeding. Good breeding environment can reduce the growth of disease, or the harms brought by the waterfowl disease, and improve the waterfowl's quality and quantity. This paper establish an intelligent detecting platform for waterfowl breeding environment to monitor the environmental factors such as light, ventilation, temperature, air, etc. Then use these data to compare with the best index parameters of environmental factors, so the platform can early-warning the breeding environment to ensure the security of waterfowl breeding environment. At the same time, these waterfowl breeding environment's data can be saved, and use for the quality and safety traceability platform.