A method and system for detecting and counting grains on a rice panicle in a complex field environment

Abstract

The present application relates to the technical field of image recognition, and proposes a rice ear grain detection and counting method and system in a complex field environment. The method comprises: acquiring a to-be-tested image of rice ears in an un-picked state in a complex field environment; inputting the to-be-tested image into a trained rice ear grain detection and counting model; the rice ear grain detection and counting model comprises a feature extraction and fusion module, a shielding perception module, a detection frame proposal module and a classification regression module; the feature extraction and fusion module extracts and fuses the ear grain features of the input image, and outputs an ear grain feature map and a fused feature map; the shielding perception module generates a shielding mask map according to the ear grain feature map; the detection frame proposal module generates a target detection proposal frame according to the fused feature map; the classification regression module performs target classification and detection frame regression of the ear grains according to the fused feature map, the shielding mask map and the target detection proposal frame, and outputs a detection frame and a counting result of the rice ear grains.

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