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	UPDATE : READ ME
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| ### **Gardeners Green Thumb Decision Support System** (GGD-DDS) | ### **Gardeners Green Thumb Decision Support System** (GGD-DDS) | ||||||
|  |  | ||||||
| The service of decision support system is inferring knowledge from the available data of the green house, the user input and historical data  what a user/the gardener should do & which action a gardener should execute to be successful with the growing process of the plants.  | The service of decision support system is inferring knowledge from the available data of the greenhouse, the user input, and historical data what a user/the gardener should do & which action a gardener should execute to be successful with the growing process of the plants.  | ||||||
| These actions are called goals.  | These actions are called goals.  | ||||||
| The list of inferred active goals is offered to other services of the system.   | The list of inferred active goals is offered to other services of the system.   | ||||||
|   |  | ||||||
|  The approach of the DSS is based on three main concepts: |  The approach of the DSS is based on three main concepts: | ||||||
|  |  | ||||||
| ***Fact knowledge (Knowledge base)** | **Fact knowledge (Knowledgebase)** | ||||||
| -Hardware Information(sensor data info) |  | ||||||
| -Data information given by expert that is overwriting sensor data | 1. Hardware Information(sensor data info) | ||||||
| U-ser Input (We assume that the user is every time honest and that  input is everytime correct) | 2. Data information was given by an expert that is overwriting sensor data | ||||||
| ***Rules (General structure, if premises then consequence)** | 3. User Input (We assume that the user is every time honest and that  input is every time correct) | ||||||
| -Explicit given by expert (before and during runtime) |  | ||||||
| Trained through AI | **Rules (General structure, if premises then consequence)** | ||||||
| ***Goals** | 1. Explicit given by expert (before and during runtime) | ||||||
| -Actions that should be taken by the user to be successful. Goals can be active  and inactive.   | 2. Trained through AI | ||||||
|  | **Goals** | ||||||
|  | 1. Actions that should be taken by the user to be successful.  | ||||||
|  | 2. Goals can be active and inactive.   | ||||||
|  |  | ||||||
| #### **Build** | #### **Build** | ||||||
|  |  | ||||||
|   | |||||||
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