‘COntext-Aware LEarning for Sustainable CybEr-agricultural systems’ seeks to design a scale-agnostic, cyber-agricultural system that provides individualized plant management (i.e., customized treatment for each individual plant/plot) over farm-level coverage areas. COALESCE is a trans-disciplinary team seeking to bring cyber- physical principles to sustainable agriculture. To achieve this, key technological innovations include the adaptation of individualized sensing, individualized modeling, and individualized actuation via context-aware machine learning and coordinated teams of robots that are enabled by autonomy algorithms, soft and dexterous manipulators and adaptive networking algorithms.

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