907 citations · 1.6k across the 5 of their papers we have counts for
5 papers
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation
Yizhe Zhang, Lin Yang, Hao Zheng +5
Supervised training a deep neural network aims to "teach" the network to mimic human visual perception that is represented by image-and-label pairs in the training data. Superpixel…
Assessing a mobile-based deep learning model for plant disease surveillance
Amanda Ramcharan, Peter McCloskey, Kelsee Baranowski +5
Convolutional neural network models (CNNs) have made major advances in computer vision tasks in the last five years. Given the challenge in collecting real world datasets, most stu…
Using Transfer Learning for Image-Based Cassava Disease Detection
Amanda Ramcharan, Kelsee Baranowski, Peter McCloskey +3
Cassava is the third largest source of carbohydrates for human food in the world but is vulnerable to virus diseases, which threaten to destabilize food security in sub-Saharan Afr…
Using Deep Learning for Image-Based Plant Disease Detection
Sharada Prasanna Mohanty, David Hughes, Marcel Salathe
Crop diseases are a major threat to food security, but their rapid identification remains difficult in many parts of the world due to the lack of the necessary infrastructure. The…
An open access repository of images on plant health to enable the development of mobile disease diagnostics
David. P. Hughes, Marcel Salathe
Human society needs to increase food production by an estimated 70% by 2050 to feed an expected population size that is predicted to be over 9 billion people. Currently, infectious…