The potential yields of Jenguma soybean (110 calendars days) a medium maturity variety recommended for northern Ghana were simulated using the AquaCrop model with daily climatic data taken from the Wa Meteorological Station. The climate was delineated to be the only constraint limiting the potential yields with the soil serving only as a reservoir to store the rainfall while other factors affec...

This research proposes A THEORETICAL FRAMEWORK based on model predictive control (MPC) for irrigation control to minimize both root zone soil moisture deficit (RZSMD) and irrigation amount under a limited water supply. We (i) investigate means to incorporate direct measurements to MPC (ii) introduce two Robust MPC techniques e Certainty Equivalence control (CE) and Disturbance Affine Feedback C...

This study was aimed to evaluate the Aqua program in calibration and validity its use simulation productive water characteristics of maize crop.. The experiment conducted two irrigation methods, sprinkler surface irrigation, cultivation methods are borders (lines) furrows (lines then furrows) for cultivars maize, a hybrid (unlocal) local variety. results that reduced consumption compared as it ...

Process-based crop models are popular tools to quantify the impact of changes due climate or management. Accurate simulation production for different agro-ecological conditions usin...

Predicting attainable yield under water limiting condition is an important goal in rainfed agriculture. Proper irrigation planning not only essential for saving but also enhancement and it possible when accurate reliable decision-making tool has been adopted. AquaCrop one of the models extensively used purposes. To evaluate performance model, present experiment entitled on “Assessment model irr...

Crop models that can accurately estimate yield and final biomass have been used for major herbaceous crops to a lesser extent in forage systems. The AquaCrop version 7.0 contains new modules introduced simulate the growth production of perennial crops. Simulated yields as function water consumption provide valuable information allows farmers make decisions adapting both climate variability chan...

• A Bayesian calibration method is introduced for state and parameter estimation. Parameter sensitivity information embedded into particle filter. Multi-spectral UAV images are to derive canopy cover by machine learning. Three filtering methods compared with different levels of prior information. Both MC simulations real-world experiments validate the performance. Crop models play a paramount r...