Yuanyuan Liu1,2, Shuo Zhang1, Haiye Yu3, Yueyong Wang4,*, Yuehan Feng1, Jiahui Sun1, Xiaokang Zhou1
CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 247-262, 2021, DOI:10.32604/cmc.2020.012328
- 30 October 2020
Abstract Intelligent straw coverage detection plays an important role in agricultural production and the ecological environment. Traditional pattern recognition
has some problems, such as low precision and a long processing time, when segmenting complex farmland, which cannot meet the conditions of embedded
equipment deployment. Based on these problems, we proposed a novel deep
learning model with high accuracy, small model size and fast running speed
named Residual Unet with Attention mechanism using depthwise convolution
(RADw–UNet). This algorithm is based on the UNet symmetric codec model.
All the feature extraction modules of the network adopt the residual… More >
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