s444524/JoelForkTest
1
0
Fork 0
forked from s425077/PotatoPlan
Code Releases Activity

doc updates

Browse Source
This commit is contained in:
BOTLester 2020-06-15 11:29:37 +02:00
parent 43001006b8
commit 7211266f90
3 changed files with 10 additions and 8 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

BIN
Evaluation_examples/Example_UI.PNG Normal file
View File

Binary file not shown.
Side by Side

After

Width:  |  Height:  |  Size: 134 KiB

BIN
Evaluation_examples/Example_clouds.PNG Normal file
View File

Binary file not shown.
Side by Side

After

Width:  |  Height:  |  Size: 210 KiB

18
Final_evaluation.md
View File

@ -11,17 +11,19 @@ NuGet Packages used and requeired for the project to work ar as follows:
In our project agent (tractor) moves on resizable grid, which starting size is dependant on primary screen resolution. In our project agent (tractor) moves on resizable grid, which starting size is dependant on primary screen resolution.
The task of the agent is to go through all soil tiles and plant different types of crops, use proper fertilizer and collect crops when fully grown. The task of the agent is to go through all soil tiles and plant different types of crops, use proper fertilizer and collect crops when fully grown.
Apart from Machine Learning Algorithms used in project there are also many different features implemented like: Apart from Machine Learning Algorithms used in project there are also many different features implemented like:
Using A* algorithm to find an optimal path to previously selected target. -Using A* algorithm to find an optimal path to previously selected target.
Target is found by scoring system which assign score to a tile based on few factors like production rate or distance. -Target is found by scoring system which assign score to a tile based on few factors like production rate or distance.
Dynamically allocated cargo space for each fertilizer based on how often each fertilizer is used. -Dynamically allocated cargo space for each fertilizer based on how often each fertilizer is used.
Day and night cycle and season system. -Day and night cycle and season system.
Using noise map generated for rainfall calculations to draw moving clouds. -Using noise map generated for rainfall calculations to draw moving clouds.
... and few other. -... and few other.
## Machine Learning Algorithms ## Machine Learning Algorithms
Project in its current state uses Machine Learning Algorithms to solve 2 problems. Light Gradient-Boosted Trees are used for both problems: Project in its current state uses Machine Learning Algorithms to solve 2 problems. Light Gradient-Boosted Trees are used for both problems:
Choosing a proper fertilizer which should be applied to current tile, based on few variables like nutrients in soil. Applying proper fertilizer boosts production rate of a crop (rate of growth of a crop). This part was done by Oskar Nastały. -Choosing a proper fertilizer which should be applied to current tile, based on few variables like nutrients in soil.
Calculating production rate of a tile based on rainfall and few other variabels. Noise map is generated and used to simulate dynamically changing rainfall. Then once a day AI is used to calculate base production rate multiplier. This part was done by Joel Städe. Applying proper fertilizer boosts production rate of a crop (rate of growth of a crop). This part was done by Oskar Nastały.
-Calculating production rate of a tile based on rainfall and few other variabels. Noise map is generated and used to simulate dynamically changing rainfall.
Then once a day AI is used to calculate base production rate multiplier. This part was done by Joel Städe.
## Examples ## Examples
![Clouds]() ![Clouds]()