Doing research on technology for real-time detection of process parame-ters of photosynthesis in higher plants have great significance for deeply studying biological effects of space. Chlorophyll content which is an important parameter of photosynthesis in higher plants shows a very good correlation with fluorescence spectra.Therefore

establish correlation model between fluorescence spectra and chlorophyll to indirectly represent the chlorophyll content by detecting and analyzing fluorescence spectra of plants. Describe a new method of modeling which is support vector machine（ SVM）. Through experimental verification

the method is feasible to predict the chlorophyll content

which has better prediction performance and higher precision than linear regression method.