Currently crops are treated with pesticides, but there's increasing pressure to find alternatives due to the environmental impact.
One method is to use integrated pest management (IPM) to create an early warning system. It monitors plants for build-up of insects and diseases rather than spraying plants with chemicals, but so far it's proven unreliable and expensive.
The new project uses recent developments in photonics technology that can analyze low levels of volatile organic compounds (VOCs) emitted by plants, which indicate their health. This is coupled with machine learning hardware which makes it practical to use artificial intelligence in commercial settings. Professor David Webb of Aston Institute of Photonic Technologies (AIPT) says that "better invertebrate pest and plant disease monitoring technologies will significantly help cut crop losses."
"However most electronic noses use electrochemical sensors, which suffer from sensitivity issues, sensor drift/aging effects and lack specificity."
"We intend to address this by building on the fast-moving technology of photonics—the science of light—whilst collaborating with scientists in other disciplines."
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