Titlebook: Computer and Computing Technologies in Agriculture VI; 6th IFIP TC WG 5.14 Daoliang Li,Yingyi Chen Conference proceedings 2013 IFIP Intern

Dappled

Grain Moisture Sensor Data Fusion Based on Improved Radial Basis Function Neural Network,s, which can cause low learn precision or over learn. Tests showed that the improved RBF network algorithm reduces the network structure, greatly enhances the learning speed of calculation. By using of the improved RBF nerve network, the precision for wheat’s moisture measurement has been improved.

Obliterate

經(jīng)典

–DOX

水獺

Herbert H. T. Prins,Iain J. Gordon data mapping and conversion model, work data flow are detailed. In the architecture, the mapping relationship of Agent and BPQ control objects and attributes is defined. The strategies of control BPQ are also proposed.

瘋狂

Jhong-Hau Jiang,Yu-Ming Lee,Yinyi Linined when ten stick of lamp tube (intensity of illumination value 4229 Lx) was used, mean temperature, humidity and water were 35 ℃, 85% and 90 mL/d respectively. On the base of that, linear effects and their interactions that affected ultraweak luminescence were also studied.

成績(jī)上升

Osteoarthritis

Jesse S. Jin,Changsheng Xu,Min Xua RPD of 4.970, and an RMSEP of 0.2270 respectively. It is found that spectra of NIR-WQDS have a roughly same changing trend. NIR-WQDS can detect wheat quality with good accuracy, repeatability and stability, which is similar to MPA. The results show that NIR-WQDS can work steadily with a good performance.

CLIFF

malapropism