forked from kevin.shehu/GGD
UPDATE : READ ME
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README.md
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README.md
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### **Gardeners Green Thumb Decision Support System** (GGD-DDS)
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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.
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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.
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These actions are called goals.
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The list of inferred active goals is offered to other services of the system.
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The approach of the DSS is based on three main concepts:
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The approach of the DSS is based on three main concepts:
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***Fact knowledge (Knowledge base)**
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-Hardware Information(sensor data info)
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-Data information given by expert that is overwriting sensor data
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U-ser Input (We assume that the user is every time honest and that input is everytime correct)
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***Rules (General structure, if premises then consequence)**
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-Explicit given by expert (before and during runtime)
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Trained through AI
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***Goals**
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-Actions that should be taken by the user to be successful. Goals can be active and inactive.
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**Fact knowledge (Knowledgebase)**
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1. Hardware Information(sensor data info)
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2. Data information was given by an expert that is overwriting sensor data
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3. User Input (We assume that the user is every time honest and that input is every time correct)
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**Rules (General structure, if premises then consequence)**
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1. Explicit given by expert (before and during runtime)
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2. Trained through AI
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**Goals**
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1. Actions that should be taken by the user to be successful.
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2. Goals can be active and inactive.
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#### **Build**
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#### **Examples**
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#### **Dependencies**
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#### **Dependencies**
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