基于作物冠气温差的精量灌溉决策研究及其田间验证

根据相关研究结论和田间试验结果,构建了精量灌溉中基于作物冠层红外温度和土壤水分等模糊决策模型,并进行了冬小麦田间试验的实际运行和结果考核.结果表明,冠层红外温度是一个较好的反映作物水分状况的灌溉决策指标;冬小麦日内冠气温差的变化规律是在10点和14点出现双峰现象,最佳灌溉决策时机应该考虑到这两点的观测数据.充分考虑作物的水分信息状况和土壤水分情况(田持的60%时),将可以使作物的灌溉决策和管理达到“适时“和“适量“.所开发的基于作物红外冠层温度的精量灌溉决策模型,可以在进一步的试验观测基础上进行改进和完善,有较强的通用性和实用性.

Design and application of the model for precision irrigation decision??making by adopting infrared crop canopy temperature

The irrigation decision-making model based on fuzzy logic was developed with two inputs of crop canopy temperature and soil water content by using the data from literatures.It was applied in field irrigation management based on the results of the field experiments of winter wheat in 2006.The model was used in the growing season of winter wheat from the start of vegetative growth in 2007.The investigation results showed that canopy temperature would be a very suitable index to make irrigation decision for winter wheat.There are two apices of the T_c-T_a at 10:00 and 14:00 in one day,which should be the appropriate time to make irrigation decision according to its observation of crop canopy temperature.It would make the field irrigation more precise in timing and quantity,when sufficient crop water messages and the condign soil water condition(60% of the field capacity) are considered.The model framework based on crop infrared canopy temperature is universal and practical for field irrigation decision-making,and can be more practical after being improved by means of further field experiments.