Jul 29,2024

018 - Engineering an Advanced Smart Farm

 

Engineering An Advanced Smart Farm

 

Course Number: 018

Fee: Free

Length: 3 Hours

Credits: This course qualifies for 3 PDH (unstructured) and 3 CEU (structured) technical learning credits issued by most US State Engineering Regulatory Organizations and all Canadian Provincial and Territorial Engineering Regulatory Organizations.

 

Format: Primarily Text supplemented with Illustrations and Video

Course Description (Syllabus):

 

The agricultural sector is undergoing a profound transformation driven by advancements in technology, reshaping traditional practices into a dynamic and data-driven industry. As global populations continue to rise and the demand for food escalates, the integration of innovative technologies such as the Internet of Things (IoT), Big Data, and Artificial Intelligence (AI) has become not only beneficial but essential for sustainable farming.

 

The concept of Smart Farming emerges at this intersection, where data analytics and automation empower farmers to make informed decisions, optimize resource use, and enhance productivity. This course, "Engineering An Advanced Smart Farm" delves into the tools and methodologies that are revolutionizing agricultural practices, ensuring food security while mitigating environmental impacts. Understanding these technological advancements is crucial for agricultural engineers, farmers, policymakers, and researchers as they navigate the complexities of modern farming.

 

The course begins with a comprehensive exploration of Smart Farming, elucidating its definition and significance in today's context. It offers insights into how IoT facilitates real-time monitoring and precision farming, enabling farmers to gather actionable data from their fields. The course further examines the critical role of Big Data in agriculture—highlighting how vast amounts of data collected from various sources can be leveraged for predictive analytics and informed decision-making. Additionally, it investigates the transformative power of AI technologies, including machine learning and robotics, in optimizing agricultural processes and enhancing crop management.

 

By integrating these cutting-edge technologies, participants will gain a holistic understanding of how Smart Farming can address contemporary challenges in agriculture, paving the way for a more efficient and sustainable future.

Learning Outcomes: By completing this course you will learn:

 

1. Introduction to Smart Farming

 

• Definition
• The Importance of Technology in Farming

 

2. Overview of Internet of Things in Smart Farming

 

• Applications of IoT
• Benefits
• Precision Farming

•  Livestock and Crop Real-Time Monitoring and Management

• Types and Sources of IoT Sensors, Devices and Software

 

3. Big Data in Agriculture

 

• Definition and Significance
• Data Sources
• Unstructured Data
• Data Analytics
• Predictive Analytics
• Yield Prediction and Assessment
• Case Studies
• Challenges in Data Management

 

4. Artificial Intelligence in Smart Farming

 

• Overview of AI Technology
• Machine Learning and Deep Learning
• Robotics and Automation
• Applications of AI
• Crop Monitoring and Disease Detection
• Automated Irrigation
• Future Trends
• Ethical Considerations

 

5. Integration of IoT, Big Data and AI in Smart Farming

 

• Synergistic Effects
• Enhanced Efficiency
• Improved Resource Management
• Real-World Examples of Smart Farming

• Using Technology to Mitigate the Impact of Extreme Weather Systems

• Sources of Software Applications for Smart Farming
• Challenges and Future of Smart Farming

  

Who Should Take This Course:

 

Engineering Students, Engineers less familiar with the application of IoT, Big Data and AI in farming and Enginneers who wish to update their knowledge of these technologies in Smart Farming.

 

Course Instructions:

ENROLLMENT: You must be registered and logged into the Engineer eLearning Centre website to access this online, self-directed course.

Once you are logged into your Engineer eLearning account click “Browse Courses” to find this course. Click Enroll

After confirming enrollment you will be returned to your account “My Courses”. Click Enter Course in course profile box. Once enrolled you can enter the course at any time and as many times as you wish. There is no time limit as to when you must complete this course. To access the course learning content click the module headings in the side menu.

Credit Options

After completing this course you have the option of either receiving eMETA PDH or CEU credit(s) or both. eMETA credits qualify for Unstructured and Structured CEU technical learning credits required by most US State Engineering Regulatory Organizations and all Canadian Provincial and Territorial Engineering Regulatory Organizations)

To receive your eMETA CEU credit you will be required to take an automated quiz.

Instructions on how to receive your credit(s) and download your PDF Certificate(s) are provided in the side menu of this course. Your credits will also be registered in your Engineer eLearning Centre account. You can download a Transcript of all credits earned in the Engineer eLearning Centre by clicking the Transcript tab in your account.

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