Pest identification via deep residual learning in complex background
Computers and Electronics in Agriculture, pp. 351-356, 2017.
•We proposed a method for pest image classification in complex farmland background.•The classification accuracy in our work is higher than other state-of-the-art models.•We used deep residual learning to overcome the degradation phenomenon.•No image needs to do feature preprocessing in our work.
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