scholarly journals Optimal Control of Integrated Production – Forecasting System

10.5772/51974 ◽  
2012 ◽  
Author(s):  
R. Hedjar ◽  
L. Tadj ◽  
C. Abi
Keyword(s):  
Optimal Control ◽  
Integrated Production ◽  
Production Forecasting ◽  
Forecasting System

An Integrated Production Modelling workflow for CSG production forecasting and optimisation

2016 ◽  
Vol 34 ◽  
pp. 733-750
Author(s):  
A. Shields ◽  
S. Tihonova ◽  
R. Stott ◽  
L.A. Saputelli ◽  
Z. Haris ◽  
...  
Keyword(s):  
Integrated Production ◽  
Production Forecasting ◽  
Production Modelling

scholarly journals Improved wheat yield and production forecasting with a moisture stress index, AVHRR and MODIS data

2009 ◽  
Vol 60 (1) ◽  
pp. 60 ◽  
Author(s):  
A. G. T. Schut ◽  
D. J. Stephens ◽  
R. G. H. Stovold ◽  
M. Adams ◽  
R. L. Craig
Keyword(s):  
Wheat Yield ◽  
Moisture Stress ◽  
Multivariate Model ◽  
Stress Index ◽  
Full Time ◽  
Yield Data ◽  
Modis Ndvi ◽  
Model Based ◽  
Production Forecasting ◽  
Forecasting System

The objective of this study was to improve the current wheat yield and production forecasting system for Western Australia on a LGA basis. PLS regression models including temporal NDVI data from AVHRR and/or MODIS, CR, and/or SI, calculated with the STIN, were developed. Census and survey wheat yield data from the Australian Bureau of Statistics were combined with questionnaire data to construct a full time-series for the years 1991–2005. The accuracy of fortnightly in-season forecasts was evaluated with a leave-year-out procedure from Week 32 onwards. The best model had a mean relative prediction error per LGA (RE) of 10% for yield and 15% for production, compared with RE of 13% for yield and 18% for production for the model based on SI only. For yield there was a decrease in RMSE from below 0.5 t/ha to below 0.3 t/ha in all years. The best multivariate model also had the added feature of being more robust than the model based on SI only, especially in drought years. In-season forecasts were accurate (RE of 10–12% and 15–18% for yield and production, respectively) from Week 34 onwards. Models including AVHRR and MODIS NDVI had comparable errors, providing means for predictions based on MODIS. It is concluded that the multivariate model is a major improvement over the current DAFWA wheat yield forecasting system, providing for accurate in-season wheat yield and production forecasts from the end of August onwards.

Integrated Production Modelling for CSG Production Forecasting

2015 ◽  
Author(s):  
A. Shields ◽  
S. Tihonova ◽  
R. Stott ◽  
L. A Saputelli ◽  
Z. Haris ◽  
...  
Keyword(s):  
Integrated Production ◽  
Production Forecasting ◽  
Production Modelling
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