Datasets

creator: Mohammad Jahanshahi type: dataset

Total is 2 Results
Wheat spike blast image classification using deep convolutional neural networks

10.4231/P0Y7-3428

Carlos Gongora , Christian D Cruz ORCID logo , Darcy Telenko , Jian Jin , Mariela Fernandez-Campos ORCID logo , Mohammad Jahanshahi , Tao Wang , Yuting Huang

04/30/2021

The folder includes i) a wheat spike blast image classification CNN model trained to automatically quantify and classify disease severity, ii) the generated datasets that include images of wheat spike blast severity levels under controlled...

Blast Botany and Plant Pathology CNN deep learning disease Magnaporthe oryzae plant disease phenotyping Plant phenotyping Python Wheat wheat blast

Structural attributes derived from Google Street View imagery, Louisiana coastal zone

10.4231/1TZX-BR43

David R Johnson ORCID logo , Ed Delp ORCID logo , Fu-Chen Chen ORCID logo , Mohammad Jahanshahi

07/28/2020

Structural attributes relevant to flood risk (foundation height/type, square footage, number of stories, building type), produced using machine learning for automated image analysis of GSV images.

flood risk Industrial Engineering Machine Learning structure attributes

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