Record Details

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
 
Identifier https://doi.org/10.21223/INDAQM
 
Creator Loayza, Hildo
 
Publisher International Potato Center
 
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.
 
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
 
Language English
 
Contributor Admin, Dataverse
International Potato Center
CGIAR Research Program on Roots, Tubers and Bananas (RTB)
 
Type Code