Integration of Calibration and Forcing Methods for Predicting Timely Crop States by Using AquaCrop-OS Model
Title: Integration of Calibration and Forcing Methods for Predicting Timely Crop States by Using AquaCrop-OS Model
Authors: Tianxiang Zhang (Department of Aeronautical and Automotive Engineering, Loughborough University); Jinya Su (Department of Aeronautical and Automotive Engineering, Loughborough University); Cunjia Liu (Department of Aeronautical and Automotive Engineering, Loughborough University); Wen-Hua Chen (Department of Aeronautical and Automotive Engineering, Loughborough University);
Year: 2019
Citation: Zhang, T., Su, J., Liu, C., Chen, W., (2019). Integration of Calibration and Forcing Methods for Predicting Timely Crop States by Using AquaCrop-OS Model. UK-RAS19 Conference: “Embedded Intelligence: Enabling & Supporting RAS Technologies” Proceedings, 108-111. doi: 10.31256/UKRAS19.29
Abstract:
This paper presents a framework for predicting canopy states in real time by adopting a recent MATLAB based crop model: AquaCrop-OS. The historical observations are firstly used to estimate the crop sensitive parameters in Bayesian approach. Secondly, the model states will be replaced by updating remotely sensed observations in a sequential way. The final predicted states will be in comparison with the groundtruth and the RMSE of these two are 39.4155 g/?? (calibration method) and 19.3679 g/ ?? (calibration with forcing method) concluding that the system is capable of predicting the crop status timely and improve the performance of calibration strategy.