An open access repository of images on plant health to enable the development of mobile disease diagnostics
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Abstract
Human society needs to increase food production by an estimated 70% by 2050 to feed an expected population size that is predicted to be over 9 billion people. Currently, infectious diseases reduce the potential yield by an average of 40% with many farmers in the developing world experiencing yield losses as high as 100%. The widespread distribution of smartphones among crop growers around the world with an expected 5 billion smartphones by 2020 offers the potential of turning the smartphone into a valuable tool for diverse communities growing food. One potential application is the development of mobile disease diagnostics through machine learning and crowdsourcing. Here we announce the release of over 50,000…
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2Topics & keywords
Topics
Keywords
- Crowdsourcing
- World population
- Yield (engineering)
- Population
- Infectious disease (medical specialty)
- Data science
- Computer science
- Business
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