Artificial Intelligence: Now AI To Combat The Menace Of Spray Drift
Spray drift refers to the damage to nearby crops and fauna due to pesticide spraying.
Unwanted movement of sprayed pesticides due to factors such as wind often result in the chemicals being deposited on unintended targets such as proximate crops or wildlife. However, this problem, referred to as spray drift, is now being tackled in a project jointly being conducted by Monash University’s Faculty of Information Technology, Bard AI, PentaQuest, and AgriSci. (ZDNet)
AI and augmented reality
Bard AI, which was spun off from Monash University in 2019, is led by experts in Bayesian Networks. Their collaboration applies Bayesian Networks and Gamification to enhance decision-making for spring agricultural pesticides.
An artificial intelligence model and augmented reality present a visual model of the proposed spraying operation to the farmer. The farmer can clearly visualise the effect, if any, of spray drift on the neighbourhood. If necessary, during poor conditions such as high-velocity winds, the farmers can hold off spraying.
Spray drift: Decision support for farmers
“Information alone does not change behaviour and the use of advanced technology doesn’t ensure the adoption of new platforms by farmers,” said Monash University Faculty of IT interim dean Ann Nicholson. “By incorporating game-like design applications which drive better training and engagement outcomes, together with AI-driven decision support modelling, we’re able to deliver continuous adoption and accurate decision support that informs farmers appropriately.”
“Our solution combines leading-edge thinking and technology in behavioural science and probabilistic modelling to deliver an engaging experience for farmers that supports them through better decision-making,” said Bard AI founder Ross Pearson
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