Evaluating Late Blight Severity using Artificial Intelligence
International Potato Center Dataverse OAI Archive
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Title |
Evaluating Late Blight Severity using Artificial Intelligence
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Identifier |
https://doi.org/10.21223/INDAQM
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Creator |
Loayza, Hildo
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Publisher |
International Potato Center
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Description |
It is an open-source algorithm to classify ten states of the late blight disease severity in two potato trials using Artificial Intelligent techniques based on Machine Learning and Deep Learning. The classification is performed using UAV's multispectral images with the support of visual disease severity estimation performed by field experts, these images were acquired at International Potato Center (CIP) fields in 2019.
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Subject |
Agricultural Sciences
Computer and Information Science Late Blight Severity Artificial Intelligence Machine Learning Deep Learning Multispectral Images Python Open Source Google Colab Tools for Remote Sensing |
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Language |
English
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Contributor |
Admin, Dataverse
International Potato Center CGIAR Research Program on Roots, Tubers and Bananas (RTB) |
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Type |
Code
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