Study On High Spectral Features Of Arsenic Pollution Rice And Spectral Prediction Of Rice Grain Yield

Along with more human activities, especially the development of modern industry, soil heavy metal pollution becomes more and more serious.. The accumulation of excess arsenic in soil can decrease the yield and quality of plants, meantime can cause water and atmospheric pollution. It can enter human body through food and water.Potted rice was cultivated in the greenhouse by adding arsenic to the soil. Rice spectrum was measured in the key growth period by ASD and arsenic content of plant was analyzed in laboratory. The pretreatment technology of spectral data, spectral features of Arsenic pollution rice of rice varieties at different growth stages, Arsenic content retrieval of rice and rice yield prediction by spectrum were explored. The results shows there was little difference in the visible spectral range for the rice leave in the early growth stage, the difference increased with the rice growth, especially in the heading period. But the difference in the near infrared spectral range increased with the rice growth. In the visible and near infrared bands, spectral differences of indica under pollution were higher than those japonica and hybrid rice. It was found that the Arsenic content in Rice organ is:root>leaf>stem>grain and for different types of rice, it is:regeneration> japonica> hybrid rice. plant arsenic retrieval model by canopy spectrum is the best among spectrum, first-order differential and reciprocal logarithmic model, it is Y=19.475+360320.442*b1260, with the average relative error of 20.4%.The grain yield significantly decrease after arsenic polluted and the order of rice grain yield is japonica>hybrid>regeneration. The first-order differential model for estimating of rice grain yield in heading and mature period is the best in different rice growth stages and among different models of spectrum, first-order differential and reciprocal logarithmic model. They are:Y=17.901-51989.300*b660-102833.825*b1260-1512.368*b7oo, with the average relative error of 20.8% for heading period, Y=18.639-26161.821*b610-19026.811* b760, with the average relative error of 22.1% for mature period.