Abstract.Moisture is one of the most important factors affecting grain quality in storage. The grain must be dried as soon as possible after harvesting to lower moisture to a standard level. It is difficult to obtain satisfactory measurement effect on precision in capacitive grain's moisture measurement due to many influencing factors, such as temperature, species and weight. The data confusion method of Radial Basis Function nerve network is adopted with improved hardware of the measurement system. Tests show that the precision in moisture measurement of wheat has been improved.

Abstract. The temperature, humidity, air composition and pH value are very important parameters in the granary that keep the grain safely store and good quality. Nowadays only temperature and moisture are used in most granary monitor and control system. Air composition, pH and insect pest are not monitored because classic industrial personal computer or microcomputer are not able to handle these real-time multiply tasks at the same time. So it is necessary to design a monitor and alarm system to monitor these parameters in the granary to minimize or curtail damage or loss. Applying the advanced embedded technology and sensor technology, a set of granary temperature and humidity monitor and alarm system is designed based on the ARM. Temperature sensor, humidity sensor, air composition sensor and pH value sensor are selected to monitor the parameters in the granary. Based on the ARM microprocessor LPC2290, the hardware system consists of serial communication module, LCD display module and alarm module. Based on the embedded operation system, the software completes the allocation design and testing of the tasks and realizes the functions such as pulse frequency signal acquisition, analog signal A/D convert, serial digital signal communication, alarm in different grades and LCD display. All the parameters can be real-time displaying on the LCD screen. The system meets the requirement of the monitor and alarm functions in the granary.