Day 1: Understanding Smart Farming Fundamentals

Morning Session: Introduction to Smart Farming

• Overview of smart farming: Concepts and benefits.
• Importance of IoT and fertigation systems.
• Introduction to hydroponics farming: Techniques and advantages.

Afternoon Session: Fundamentals of IoT in Farming

• Understanding farming sector challenges: Current issues and solutions.
• Exploring competing standards for IoT in agriculture.
• Hands-on: Setting up basic software and hardware for physical computing.

Day 2: Designing and Building Smart Farming Systems

Morning Session: Smart Farming Control System

• Introduction to programming flowchart and logic.
• Design and construction of prototype smart farming control systems.
• Comprehensive study of different types of fertilizers and their applications.

Afternoon Session: Implementing Smart Farming Technologies

• Practical session on programming logic and conditions.
• Setting up farming models and mini systems for experimentation.
• Optimization techniques: Mixing AB fertilizers for maximum efficiency.

Day 3: Integration and Final Projects

Morning Session: Implementing IoT in Farming

• Setting up IoT gateways and cloud-based systems for farming.
• Real-time sensor data visualization techniques for informed decision-making.
• Importance of documentation: Video and photography for project records.

Afternoon Session: Group Final Projects

• Team collaboration on mini-prototype projects integrating IoT into farming.
• Problem-solving exercises addressing real-world farming challenges.
• Presentation of group projects with peer feedback and course review.

Smart Farming Essentials: Harnessing IOT For Agricultural Success