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Crop conditional Convolutional Neural Networks for massive multi-crop plant disease classification over cell phone acquired images taken on real field conditions

机译：作物有条件卷积神经网络用于大规模多作物植物疾病分类在手机上采用实地条件拍摄的图像

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Artzai Picon; Maximiliam Seitz; Aitor Alvarez-Gila; Patrick Mohnke; Amaia Ortiz-Barredo; Jone Echazarra;
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1. Crop conditional Convolutional Neural Networks for massive multi-crop plant disease classification over cell phone acquired images taken on real field conditions [J] . Picon Artzai, Seitz Maximiliam, Alvarez-Gila Aitor, Computers and Electronics in Agriculture . 2019,第期

机译：作物有条件卷积神经网络用于大规模多作物植物疾病分类在手机上采用实地条件拍摄的图像
2. Comparison of convolution neural networks for smartphone image based real time classification of citrus leaf disease [J] . Barman Utpal, Choudhury Ridip Dev, Sahu Diganto, Computers and Electronics in Agriculture . 2020,第1期

机译：基于柑橘叶病的实时分类的智能手机图像卷积神经网络的比较
3. Robust Recognition of Chinese Text from Cellphone-acquired Low-quality Identity Card Images Using Convolutional Recurrent Neural Network [J] . Jianmei Wang, Ruize Wu, Shaoming Zhang Sensors and materials . 2021,第4期

机译：使用卷积经常性神经网络从手机获取的低质量识别卡片图像中恢复中文文本的鲁棒识别
4. Cloud-Based System for Supervised Classification of Plant Diseases Using Convolutional Neural Networks [C] . Lorick Jain, Harsha Vardhan M A, Nishanth M L, IEEE International Conference on Cloud Computing in Emerging Markets . 2017

机译：基于卷积神经网络的基于云的植物病害监督分类系统
5. Combining Convolutional Neural Networks and Graph Neural Networks for Image Classification [D] . Trivedy, Vivek. 2021

机译：结合卷积神经网络和图形神经网络的图像分类
6. Convolutional neural network for cell classification using microscope images of intracellular actin networks [O] . Ronald Wihal Oei, Guanqun Hou, Fuhai Liu, -1

机译：利用细胞内肌动蛋白网络的显微镜图像对细胞进行卷积神经网络分类
7. Detection and Classification of Lung Nodule in Diagnostic CT: A TsDN method based on Improved 3D-Faster R-CNN and Multi-Scale Multi-Crop Convolutional Neural Network [O] . Muhammad Bilal Zia, Juan Juan Zhao, Xiao Ning 2020

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Crop conditional Convolutional Neural Networks for massive multi-crop plant disease classification over cell phone acquired images taken on real field conditions

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