Nondestructive detection pesticide residue on navel orange surface using laser image

To detect pesticide residue on navel orange surface by nondestructive means, five group oranges sprayed water, fenvalerate, isocarbophos, fenpropathrin, carbendazim pesticides respectively were chosen as experimental samples. Laser imaging system was built for acquiring images of fruits. Unitary nonlinear regression function was fitted by analyzing gray histogram curves of images within 12-40 range. The coefficient or eigenvalue of functions was different about every navel orange. The threshold coefficient was confirmed by data processing, which can establish fruits surface sprayed pesticide or not. The result showed that laser imaging technique is feasible for detecting pesticide residue on navel orange surface.