Description

Urban Agriculture

An innovative approach that leverages AI, IoT, and automation to optimize crop growth, reduce resource waste, and improve sustainability. By using sensors, predictive analytics, and smart irrigation, it enhances efficiency and resilience in modern farming.

AI-Driven Urban Agriculture Optimization
A smart system utilizing AI and sensor data to enhance crop growth and sustainability in urban environments. By analyzing environmental conditions and predicting yields, it enables data-driven decision-making for efficient urban farming.

Course Overview:
This course focuses on applying AI to enhance urban agriculture practices. Students will work with sensor datasets available online to optimize crop growth and sustainability within urban environments.
Modules:
1.Introduction to Urban Agriculture
- Overview of urban farming techniques
- Importance and benefits in urban settings
- Challenges in urban agriculture
- Sensor Technology in Agriculture
- Types of agricultural sensors (moisture, CO2, light, etc.)
- Data collection methods
2. Data Analysis for Crop Optimization
- Understanding plant growth metrics
- Analyzing environmental conditions
- Data-driven decision-making
- Cleaning and organizing dataset
- Statistical data exploration
3. AI
- Machine learning models for agriculture:
Example: Predicting crop yields and health
Project Design and Execution
- Gathering datasets for urban agriculture
- Training AI models on sensor data
- Testing and validating model outcomes

For more questions: Maya 054-2589501

Urban Agriculture

Urbanic Agriculture

Description

Emphasis in project execution

The project is has cooperation with the industry and combines meeting deadlines while being creative and focused on the task

THE PROJECT IS AT FULL CAPACITY