Study on germination of tomato seed based on near-infrared spectroscopy

Near infrared spectroscopy has been applied to forecast the tomato seed germination rate. It depends on some kinds of ingredient whether the seed can germinate. The spectroscopy data of seed is collected using the diffuse reflectance spectral, and the support vector machine is used to establish the model, so as to identify whether the seed can germinate. Support vector machine, as a new generation of machine learning algorithm, is widely applied to many fields successfully. This paper also points out the problems about future research direction for forecasting tomato seed germination rate based on near-infrared spectroscopy.