Using a one-dimensional convolutional neural network with a conditional generative adversarial network to classify plant electrical signals

no code implementations • Computers and Electronics in Agriculture 2020 • Xiao-Huang Qin, Zi-Yang Wang, Jie-Peng Yao, Qiao Zhou, Peng-Fei Zhao, Zhong-Yi Wang, Lan Huang

This paper proposes a model, based on a one-dimensional convolutional neural network (1D-CNN) with a conditional generative adversarial network (CGAN), which can quickly and effectively identify the salt tolerance of the seedlings using plant electrical signals at the early seedling stage.

Data Augmentation Generative Adversarial Network