By C. Lokhorst; P. W. G. Groot Koerkamp
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Extra info for Precision livestock farming '09
2 E dif1 U gT ≤ dosing (24) b. Daily of amount of energy for a herd of animals. a) Daily dosing 2 of amount of energy for a herd of animals. E U gT ≤ dif1 (24) (24) 2 a) Daily dosing of of amount of of energy forfor a herd of animals. c. Daily dosing amount energy a single animal. b) Daily dosing E dif1 of amount of energy for a single animal. U gT ≤ E (24) 2 U F ≤ dif2 (25) (25) b) Daily dosing 2 of amount of energy for a single animal. E U F ≤ dif2 (25) 2 Commonplace expertise b) Daily dosing of amount of energy a single Energy provided to the animals forfor period n hasanimal.
Only one Real time 1 individual Third party process software information 2 3 4 5 6 Management Control algorithm Adaptive model software 7 8 9 10 Calculated settings 11 12 13 Figure 1. Overview of dataflow of the implemented model and it’s integration with other 14 software components. 15 Figure I. Overview of dataflow of the implemented model and it’s integration with other 16 software components 17 Precision livestock farming ’09 35 concentrate type was optimized. Correct data exchange between the management system and the process software was inevitable.
3 max. 1 Table 3. The Parameter estimates, predicted intercept corrected for interval length predictions in Table 2 are based on the parameter estimates givenand in concentrate Table 3. The intercept effect forcorrected 7 cows out a herd of 145 cows oneffect 17 December 2008. forofinterval length and the of optimal concentrate intake can be predicted from the estimates. In FigureIn2Figure shows2 optimal results results for all for cows withinwithin the herd. The The gross margin is also shows optimal all cows the herd.