Tackling pesticide resistance: early detection, management strategies, and foresight
Funds research into early detection tools, including AI-driven prediction, and management strategies that slow the growth of pesticide resistance in farming and forestry.
The proposal's scope reaches beyond the field: it should also cover storage and handling practices after harvest, aimed at reducing resistance pressure during that post-harvest stage rather than stopping once a crop leaves the field. Foresight work here means more than forecasting -- proposals are expected to stress-test planned resistance-management strategies against multiple future scenarios an…
This call wants proposals that map where pesticide resistance risk is emerging, and build early-detection methods and predictive models — including AI-driven approaches — to track how resistance evolves. It wants integrated pest and weed management strategies that expand non-chemical options and precision pesticide use, plus foresight work that anticipates resistance trends for policymakers and farmers.
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