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Found 5 papers, 0 papers with code
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.
Adaptive model reduction and state estimation of agro-hydrological systems
Furthermore, the adaptive MHE algorithm is developed based on an adaptive reduced model.
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.
LSTM-based model predictive control with discrete inputs for irrigation scheduling
The development of well-devised irrigation scheduling methods is desirable from the perspectives of plant quality and water conservation.
Soil moisture map construction using microwave remote sensors and sequential data assimilation
Secondly, measurements obtained from the microwave sensors are assimilated into the field model using the extended Kalman filter to form an information fusion system, which will provide frequent soil moisture estimates and predictions in the form of moisture content maps.
