Mask R-CNN-based cotton tip identification and detection method

Abstract

The invention belongs to the field of deep learning and image processing, and discloses a Mask R-CNN-based cotton tip identification and detection method, which comprises the following steps: collecting cotton tip images under different conditions; carrying out image enhancement on the collected cotton top end image and forming a sample set; dividing the sample set into a test set and a training set; constructing a cotton tip identification neural network model based on Mask R-CNN (Region Convolutional Neural Network); inputting the training set into an initial Mask R-CNN model for training, and learning cotton tip target features; and inputting the test set into the trained Mask R-CNN model for testing, and adjusting to model convergence to obtain a Mask R-CNN-based cotton tip identification and detection model. According to the invention, cotton tip position information can be accurately identified, and preparation is made for next mechanical cotton topping.

Description

technical field [0001] The invention belongs to the field of deep learning and image processing, in particular to a cotton top recognition and detection method based on Mask R-CNN. Background technique [0002] Cotton is a labor-intensive cultivated crop with complicated planting management. How to mechanize the whole process of cotton production, improve the mechanization level of cotton production, greatly save costs and reduce labor force is the future direction of cotton production. Cotton needs topping during the growth process, and the top of cotton is cut off to increase cotton production. At present, cotton topping is mainly done manually, which is labor-intensive and inefficient. In the current situation of labor shortage and high labor costs, it is of great practical significance and broad development prospects to quickly, accurately and efficiently realize cotton automatic topping. Therefore, high-speed and accurate identification of cotton tops is the premise an...

AI Technical Summary

Problems solved by technology

Cotton needs to be topped during the growth process, and the top of the cotton is cut off to increase cotton production. At present, cotton topping is mainly done manually, which is labor-intensive and inefficient.

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