Application of image recognition technology in agricultural engineering is researched

main research is apple image recognition technology

it provides a theoretical basis for realization of apple intelligent picking. Image recognition technology is used for apple image preprocessing

that is image segmentation and feature extraction. Use back propagation neural network（ BPNN） to get the feature to learn

so as to obtain recognition model which is able to accurately identify apple image. In order to improve performance of BPNN model

use genetic algorithm to optimize the threshold and weight of NN model. Through the example

performance of apple fruit recognition model is verified. The results show that compared with the conventional BPNN model

this research method has higher recognition accuracy.