Chlorophyll content is an important indicator of plant nutrition, photosynthesis capacity and growth conditions. Rapid and reliable crops nutrition diagnosis is the basis of rationalization of fertilizer management, but also the implementation of one of the key technologies of precision agriculture. The purpose of this study was to develop a multi-spectral remote imaging system to measure chlorophyll content in Ipomoea aquatica. Multi-spectral images of Ipomoea aquatica were acquired, noncontactly and nondestructively by using the CCD camera and filter replacement module, and then uploaded image data to remote host server through the wireless network. By means of the forward stepwise regression analysis, the calibration line of multi-spectral images was established. The chlorophyll content of Ipomoea aquatic can be instantly measured as the reference basis for fertilizer management. The experimental results showed that the development of multi-spectral remote imaging system to measure chlorophyll content in Ipomoea aquatica is feasible.