Search Results - "DeChant, Chad"

Automated Identification of Northern Leaf Blight-Infected Maize Plants from Field Imagery Using Deep Learning by DeChant, Chad, Wiesner-Hanks, Tyr, Chen, Siyuan, Stewart, Ethan L, Yosinski, Jason, Gore, Michael A, Nelson, Rebecca J, Lipson, Hod

“…Northern leaf blight (NLB) can cause severe yield loss in maize; however, scouting large areas to accurately diagnose the disease is time consuming and…”
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Image set for deep learning: field images of maize annotated with disease symptoms by Wiesner-Hanks, Tyr, Stewart, Ethan L, Kaczmar, Nicholas, DeChant, Chad, Wu, Harvey, Nelson, Rebecca J, Lipson, Hod, Gore, Michael A

“…Automated detection and quantification of plant diseases would enable more rapid gains in plant breeding and faster scouting of farmers' fields. However, it is…”
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Millimeter-Level Plant Disease Detection From Aerial Photographs via Deep Learning and Crowdsourced Data by Wiesner-Hanks, Tyr, Wu, Harvey, Stewart, Ethan, DeChant, Chad, Kaczmar, Nicholas, Lipson, Hod, Gore, Michael A, Nelson, Rebecca J

“…Computer vision models that can recognize plant diseases in the field would be valuable tools for disease management and resistance breeding. Generating enough…”
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Quantitative Phenotyping of Northern Leaf Blight in UAV Images Using Deep Learning by Stewart, Ethan L., Wiesner-Hanks, Tyr, Kaczmar, Nicholas, DeChant, Chad, Wu, Harvey, Lipson, Hod, Nelson, Rebecca J., Gore, Michael A.

“…Plant disease poses a serious threat to global food security. Accurate, high-throughput methods of quantifying disease are needed by breeders to better develop…”
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Shape completion enabled robotic grasping by Varley, Jacob, DeChant, Chad, Richardson, Adam, Ruales, Joaquin, Allen, Peter

“…This work provides an architecture to enable robotic grasp planning via shape completion. Shape completion is accomplished through the use of a 3D…”
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Learning to summarize and answer questions about a virtual robot’s past actions by DeChant, Chad, Akinola, Iretiayo, Bauer, Daniel

“…When robots perform long action sequences, users will want to easily and reliably find out what they have done. We therefore demonstrate the task of learning…”
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Autonomous Detection of Plant Disease Symptoms Directly from Aerial Imagery by Wu, Harvey, Wiesner‐Hanks, Tyr, Stewart, Ethan L., DeChant, Chad, Kaczmar, Nicholas, Gore, Michael A., Nelson, Rebecca J., Lipson, Hod

“…Core Ideas A deep learning model identified plant disease in UAV images with 95% accuracy. Transfer learning allowed for faster model optimization. This method…”
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Summarizing a virtual robot's past actions in natural language by DeChant, Chad, Bauer, Daniel

“…We propose and demonstrate the task of giving natural language summaries of the actions of a robotic agent in a virtual environment. We explain why such a task…”
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Learning to Summarize and Answer Questions about a Virtual Robot's Past Actions by DeChant, Chad, Akinola, Iretiayo, Bauer, Daniel

“…When robots perform long action sequences, users will want to easily and reliably find out what they have done. We therefore demonstrate the task of learning…”
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Episodic Memory Verbalization using Hierarchical Representations of Life-Long Robot Experience by Bärmann, Leonard, DeChant, Chad, Plewnia, Joana, Peller-Konrad, Fabian, Bauer, Daniel, Asfour, Tamim, Waibel, Alex

“…Verbalization of robot experience, i.e., summarization of and question answering about a robot's past, is a crucial ability for improving human-robot…”
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Shape Completion Enabled Robotic Grasping by Varley, Jacob, DeChant, Chad, Richardson, Adam, Ruales, Joaquín, Allen, Peter

“…This work provides an architecture to enable robotic grasp planning via shape completion. Shape completion is accomplished through the use of a 3D…”
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Automated Weed Detection in Aerial Imagery with Context by Bullock, Delia, Mangeni, Andrew, Wiesner-Hanks, Tyr, DeChant, Chad, Stewart, Ethan L, Kaczmar, Nicholas, Kolkman, Judith M, Nelson, Rebecca J, Gore, Michael A, Lipson, Hod

“…In this paper, we demonstrate the ability to discriminate between cultivated maize plant and grass or grass-like weed image segments using the context…”
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