forked from s425077/PotatoPlan
Fixing documenation
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@ -287,7 +287,7 @@ class Crops
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r = (1.0f - productionRate) * 4;
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r = (1.0f - productionRate) * 4;
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g = 0.0f + productionRate;
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g = 0.0f + productionRate;
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b = 0.0f + (float)Math.Pow((double)overhead * 10, 2);
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b = 0.0f + overhead * 3;
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a = 255;
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a = 255;
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return new Vector4(r, g, b, a);
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return new Vector4(r, g, b, a);
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@ -1,6 +1,5 @@
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# Machine Learning Method implementation report - Oskar Nastały
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# Machine Learning Method implementation report - Oskar Nastały
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## Introduction
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## Introduction
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Purpose of my ML implementation is for the agent (tractor) to decide what fertilizer it should use.
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Purpose of my ML implementation is for the agent (tractor) to decide what fertilizer it should use.
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@ -111,4 +110,6 @@ If field is properly fertilized it will have higher production rate, resulting i
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Production rate value is shown in the UI as well as it is represented by the colour of progression bar (right side of every tile).
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Production rate value is shown in the UI as well as it is represented by the colour of progression bar (right side of every tile).
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At 100% bar will pure **Green**. Any value below will make bar more **Red**, while any value above will add **Blue**, eventually turning bar colour into cyan.
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At 100% bar will pure **Green**. Any value below will make bar more **Red**, while any value above will add **Blue**, eventually turning bar colour into cyan.
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![Example](https://git.wmi.amu.edu.pl/s425077/PotatoPlan/src/Oskar-ML/example_img.png)
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Example:
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![Progression Bar](https://git.wmi.amu.edu.pl/s425077/PotatoPlan/src/Oskar-ML/example_img.png?raw=true)
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