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Performance triggered adaptive model reduction for soil moisture estimation in precision irrigation
Soil moisture estimation based on limited soil moisture sensors is crucial for obtaining comprehensive soil moisture information when dealing with large-scale agricultural fields.
Knowledge-based optimal irrigation scheduling of agro-hydrological systems
The typical agricultural irrigation scheduler provides information on how much to irrigate and when to irrigate.
Subsystem decomposition and state estimation of nonlinear processes with implicit time-scale multiplicity
In this work, we propose a subsystem decomposition approach and a distributed estimation scheme for a class of implicit two-time-scale nonlinear systems.
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