Real-time AI weed detection with computer vision
Montes del Plata produces Eucalyptus cellulose pulp. Founded in 2009 by two world-leading forestry companies: Stora Enso (Sweden-Finland, 25,000 employees in more than 30 countries, with EUR 10.1 billion in sales in 2019) and Arauco(Chile).
CHALLENGE
Use the least amount of herbicide required in forestry plantations to increase sustainability and meet industry standards that enable access to international markets.
Use the least amount of herbicide required in forestry plantations to increase sustainability and meet industry standards that enable access to international markets.
SOLUTION
Our team developed a tractor-mountable computer vision module that detects weeds in Eucalyptus plantations in real-time as herbicide is sprayed. To this end, we selected components, designed and built the image acquisition system and embedded processing module.
As the machine operates, a video of the planted line is fed to the embedded computer, where image processing algorithms and a deep-learning model run in real time to detect and locate weeds in order to enable targeted spraying.
Our team developed a tractor-mountable computer vision module that detects weeds in Eucalyptus plantations in real-time as herbicide is sprayed. To this end, we selected components, designed and built the image acquisition system and embedded processing module.
As the machine operates, a video of the planted line is fed to the embedded computer, where image processing algorithms and a deep-learning model run in real time to detect and locate weeds in order to enable targeted spraying.
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