
Improving mid-season nitrogen management of rice
This project will improve mid-season nitrogen management of rice through the use of red-edge and other sensor imagery and refinement of algorithms to provide accurate spatial nitrogen application recommendations at panicle initiation.
Project date
1 Aug 2018-6 Dec 2021
Principal investigator
Brian Dunn
Project funded by
Multiple industries
Alternative protein
Aquaculture
Cereal grains
Cross industry
Essential oils
Fruits
Game
Honey bees
Nuts
Other rural industries
Pasture, fodder & feed
Poultry
Pulse grains

Focus areas
Industries
Technology areas
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