A mobile and cloud-based framework for plant stress detection from crowdsourced visual and infrared imagery
<p> A cloud infrastructure and Android-based system were developed to enable amateurs and professionals to make use of laboratory techniques for remote plant disease detection. The system allows users to upload and analyze plant data as citizen scientists, helping to improve models for remote...
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Language: | EN |
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University of Colorado at Boulder
2016
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Online Access: | http://pqdtopen.proquest.com/#viewpdf?dispub=10124049 |