On the basis of the relationship between tree ring width of Pinus tabulaeformis in the southern Taihang Mountains in Hebei Province and climate factors, such as mean temperature, mean maximum temperature, mean minimum...On the basis of the relationship between tree ring width of Pinus tabulaeformis in the southern Taihang Mountains in Hebei Province and climate factors, such as mean temperature, mean maximum temperature, mean minimum temperature and precipitation, we find that tree-ring width correlates positively and significantly with mean and maximum temperature in March and Spring, and with minimum temperature in March, April, Spring and Autumn. The sampling tree radial growth responds sensitively to spring temperature change.展开更多
Agriculture and farming are mainly dependent on weather especially in Malaysia as it received heavy rainfall throughout the years. An efficient crop or tree management system with a weather forecast needed for suitabl...Agriculture and farming are mainly dependent on weather especially in Malaysia as it received heavy rainfall throughout the years. An efficient crop or tree management system with a weather forecast needed for suitable planning of farming operation. Radial Basis Function Neural Network (RBFNN) algorithm was used in this study to predict rainfall and the main focus of this study is to analyze the factor that affect</span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">s</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> the performance of neural model. This study found that the model works better the more hidden nodes and the optimum learning rate is 0.01 with the RMSE 49% and the percentage accuracy is 57%. Besides that, it is found that the meteorology data also affect the model performance. Future research can be conducted to improve the rainfall forecast of this study and improv</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">e</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> the tree management system.展开更多
基金Supported by the Science and Technology Plan Projects of Hebei Province(15454201D)
文摘On the basis of the relationship between tree ring width of Pinus tabulaeformis in the southern Taihang Mountains in Hebei Province and climate factors, such as mean temperature, mean maximum temperature, mean minimum temperature and precipitation, we find that tree-ring width correlates positively and significantly with mean and maximum temperature in March and Spring, and with minimum temperature in March, April, Spring and Autumn. The sampling tree radial growth responds sensitively to spring temperature change.
文摘Agriculture and farming are mainly dependent on weather especially in Malaysia as it received heavy rainfall throughout the years. An efficient crop or tree management system with a weather forecast needed for suitable planning of farming operation. Radial Basis Function Neural Network (RBFNN) algorithm was used in this study to predict rainfall and the main focus of this study is to analyze the factor that affect</span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">s</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> the performance of neural model. This study found that the model works better the more hidden nodes and the optimum learning rate is 0.01 with the RMSE 49% and the percentage accuracy is 57%. Besides that, it is found that the meteorology data also affect the model performance. Future research can be conducted to improve the rainfall forecast of this study and improv</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;">e</span></span></span><span style="font-family:Verdana;"><span style="font-family:Verdana;"><span style="font-family:Verdana;"> the tree management system.