Description

Microclimate

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.

Course Overview:
An intelligent system leveraging AI and sensor data to monitor environmental changes and predict climate trends. By analyzing key climate indicators, the system identifies patterns, detects anomalies, and enhances climate change mitigation strategies.

This course examines the role of AI in understanding and mitigating climate change. Students will utilize sensor data to analyze environmental changes and predict future trends.
Modules:
1. - Fundamentals of climate science
- Human impact and global challenges
- Key indicators and metrics
2. Data Collection
- Collecting and managing environmental data
- Checking data accuracy and reliability
3. Data Analysis
- Statistical methods for climate data
- Identifying patterns and anomalies
- Correlating data with climate events
4. AI Models for Climate Prediction
- Machine learning approaches to climate data
- Developing prediction models
- Evaluating model performance

For more questions: Maya 054-2589501

Emphasis in project execution

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

Status: Shown in Available Projects

THE PROJECT IS AT FULL CAPACITY

Create New Student Profile + Register to this Project

Microclimate

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