710 citations · 996 across the 3 of their papers we have counts for
3 papers
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…
Soil Property and Class Maps of the Conterminous US at 100 meter Spatial Resolution based on a Compilation of National Soil Point Observations and Machine Learning
Amanda Ramcharan, Tomislav Hengl, Travis Nauman +4
With growing concern for the depletion of soil resources, conventional soil data must be updated to support spatially explicit human-landscape models. Three US soil point datasetsw…