Smart Agriculture Using ITL AIOT Kit

This detailed course content ensures that learners will not only build an Automated Irrigation System but also gain in-depth knowledge of IoT applications in Smart Agriculture, preparing them for real-world deployments.

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eBothi Master Guru

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English

Last updated

Sun, 06-Oct-2024

Course description

  • The course will be integrated into the ebothi.com LMS, broken down into sessions and lessons. Each session will guide students through the process of developing an Automated Irrigation System using the ITL AIOT Development Kit, which includes soil moisture sensing and automated watering based on real-time data.

    • What will i learn?

    • Outcome of the Smart Agriculture Project: Automated Irrigation System with Soil Moisture Sensing By the end of this Smart Agriculture project using the ITL AIOT Development Kit, you will have achieved the following outcomes:
    • 1. Functional Automated Irrigation System Smart Irrigation: You will have developed a fully functional automated irrigation system that monitors soil moisture levels and waters crops only when necessary. Water Conservation: The system will help conserve water by preventing overwatering and only irrigating when soil moisture levels fall below the set threshold. Improved Crop Yield: By optimizing the watering schedule based on real-time soil and environmental data, crop health and yield can be enhanced, leading to more efficient agricultural practices.
    • 2. Hands-On IoT Experience Sensor Integration: You will have hands-on experience working with multiple sensors (soil moisture, temperature, humidity) and learn how to interface them with a microcontroller (Wi-Fi development board). Programming Skills: You will gain experience writing and uploading code to the Wi-Fi development board using the Arduino IDE, including logic for sensor data collection, relay control, and IoT integration. IoT Platform Integration: You will be able to monitor and control your irrigation system remotely via platforms like Blynk or Thingspeak, learning the fundamentals of IoT communication and dashboard setup.
    • 3. Sustainable Agriculture Efficient Resource Management: The project teaches the importance of sustainable farming practices, where efficient water usage can be applied to real-world agricultural challenges. Real-World Application: The skills and system you build can be applied to small farms, home gardens, or greenhouses, making it a valuable project for those looking to implement IoT-based solutions in agriculture.
    • 4. Data-Driven Decision Making Environmental Monitoring: You will be able to collect real-time data on soil moisture, temperature, and humidity, allowing for data-driven decisions regarding irrigation schedules and crop management. Remote Control & Automation: Through IoT, you'll learn how to control agricultural systems remotely, enabling precision agriculture where environmental data guides decision-making.
    • 5. Problem-Solving and Innovation Skills Design Thinking: This project encourages problem-solving by allowing you to design a system that meets a specific agricultural need, from concept to implementation. Innovation: You’ll learn how to incorporate IoT and AI-driven insights to make agriculture more efficient, sustainable, and scalable. The project can be a stepping stone for more complex innovations like AI-driven crop monitoring or weather prediction.
    • 6. Certification and Project Showcase Certificate of Completion: After successfully completing the project, you will receive a certificate via the ebothi.com LMS, which can be used to demonstrate your proficiency in IoT, smart agriculture, and programming skills. Portfolio Project: You’ll have a tangible project that you can showcase as part of your portfolio for internships, job applications, or further studies in IoT and smart systems development.
    • 7. Future Application of Skills Advanced Agriculture Solutions: The skills you gain can be applied to more advanced smart agriculture projects, such as: AI-driven irrigation systems that predict watering needs based on weather forecasts. Remote farm monitoring systems using drones and sensors. Automated greenhouse systems that control lighting, temperature, and humidity alongside irrigation.

    Requirements

    • Requirements for the Smart Agriculture Project using ITL AIOT Development Kit To successfully complete the Smart Agriculture project on the Automated Irrigation System with Soil Moisture Sensing, the following requirements are necessary:
    • 1. Hardware Components (Included in ITL AIOT Development Kit): Wi-Fi Development Board (e.g., ESP8266 or ESP32): The main controller that connects to sensors and manages the system's logic. It also facilitates communication with IoT platforms. Soil Moisture Sensor: Measures the water content in the soil to determine when irrigation is needed. Temperature and Humidity Sensor (e.g., DHT11 or DHT22): Monitors environmental conditions that impact irrigation needs. Light Sensor: Used to measure light levels, which can help optimize watering schedules (optional for basic project). Relay Module: Controls an external device (like a water pump or solenoid valve) to automate irrigation. Water Pump or Solenoid Valve: Used to water the crops when triggered by the relay module. Jumper Wires: For connecting sensors and components to the development board. Breadboard: For prototyping and testing the circuit connections. Power Supply: A power source for the development board (USB or battery-powered).
    • 2. Software Requirements: Arduino IDE: The Integrated Development Environment for writing and uploading code to the Wi-Fi development board. Blynk or Thingspeak IoT Platform: For remote monitoring and control of the irrigation system. Both platforms allow you to view sensor data and control the system from a mobile app or web dashboard. Code Libraries: ESP8266/ESP32 Wi-Fi library for connecting to the internet. DHT library for interfacing with the temperature and humidity sensor. Blynk or Thingspeak libraries to send and receive data from the IoT platform.
    • 3. Project Setup: Wi-Fi Access: A stable Wi-Fi network is required to connect the Wi-Fi development board to the IoT platform for data transmission and remote control. Water Source: You’ll need access to a water supply (e.g., a water tank or direct water line) that can be connected to the water pump or solenoid valve. Agricultural Environment: Ideally, you should have a small garden, planter, or simulated soil environment to test the system’s functionality.
    • 4. Programming Requirements: Basic Programming Knowledge: Familiarity with Arduino C/C++ to modify code and set moisture thresholds, control the relay, and send data to the IoT platform. Sensor Calibration: Write code to read sensor data (soil moisture, temperature, humidity) and trigger irrigation when moisture falls below a specified threshold. IoT Integration: Setup and program communication with Blynk or Thingspeak to visualize sensor data and control the system remotely.
    • 5. Connectivity & Networking: Router and Internet Access: To facilitate communication between the Wi-Fi development board and the IoT platform. Mobile Device or PC: For monitoring the project’s status and making adjustments remotely via the IoT platform’s app or web interface.
    • 6. Optional Add-ons for Advanced Project: Weather API Integration: Add an API call to get local weather data and adjust irrigation scheduling based on predicted rainfall. Solar Power System: Use solar panels as a renewable power source for the irrigation system. Rain Sensor: Further optimize irrigation by incorporating a rain sensor to avoid watering when it’s already raining.
    • Additional Materials (Not Included in the Kit): Water Pipes or Hoses: To direct water from the pump to the crops. Storage Container: If using a water pump, a container for storing water is needed. Manual Tools: Basic tools like pliers, a screwdriver, and wire cutters to assemble and install the components.
    • 7. Learning Resources: Character-Based AI Bot Guidance: Available throughout the course to assist in setting up the system, writing code, and integrating IoT platforms. ebothi.com LMS: Includes tutorials, videos, and reading materials on IoT programming, sensor usage, and system integration. Online Forums: Available for community support and expert advice throughout the course.

    Frequently asked question

    The Smart Agriculture course teaches learners how to use the ITL AIOT Development Kit to develop a smart irrigation system that monitors soil moisture levels and automatically waters crops. This course combines hands-on hardware experience with online learning modules on the ebothi.com LMS, guided by a character-based AI bot.

    The ITL AIOT Development Kit includes: Wi-Fi Development Board for IoT applications Soil Moisture Sensor for detecting moisture levels in soil Temperature and Humidity Sensor for environmental monitoring Light Sensor for light detection Relay Module to control water pumps or irrigation systems Cables and Breadboard for circuit assembly

    No prior experience is required. The course is designed for beginners, and the AI bot guides students through every step, from unboxing the kit to coding and deploying the project. However, a basic understanding of electronics and programming may be helpful.

    You will develop a Smart Irrigation System that uses a soil moisture sensor to monitor moisture levels and automate watering when necessary. This helps conserve water and improve crop health. The project will also involve setting up remote monitoring using IoT platforms like Blynk or Thingspeak.

    The AI Bot Co-Pilot is your virtual assistant throughout the course. It will: Help you unbox and set up the ITL AIOT Kit components. Provide real-time troubleshooting and step-by-step instructions. Guide you in writing and debugging code. Assist in setting up remote monitoring platforms. Answer questions and offer project-related suggestions.

    The Smart Irrigation Project uses the following sensors: Soil Moisture Sensor: Detects the water content in the soil. Temperature and Humidity Sensor: Monitors environmental conditions that might affect irrigation. Light Sensor: Measures light intensity, which can be integrated into the irrigation system for advanced optimization.

    The Wi-Fi Development Board in the kit connects to your computer via a USB cable. You’ll also need to install the Arduino IDE to write and upload code to the development board. The course provides step-by-step instructions for setting up this environment.

    The course teaches you how to connect your Smart Irrigation System to an IoT platform, such as Blynk or Thingspeak, to monitor real-time sensor data. This allows you to view soil moisture levels, temperature, and humidity remotely and get alerts when irrigation is triggered.

    Yes! The system can be customized by adjusting the moisture threshold based on the crop’s water requirements. For example, plants that require less water will have a higher moisture threshold before irrigation is triggered.

    You will write code in Arduino C/C++ to read data from sensors and automate the irrigation process. The AI Bot will guide you through coding the logic to trigger irrigation based on the soil moisture levels.

    The Wi-Fi Development Board can be powered via USB for development purposes, but you may use a battery or an external power source for field deployment. The course covers power optimization techniques to ensure the system runs efficiently.

    The AI Bot is always available to help troubleshoot any issues, such as sensor malfunction, coding errors, or connection problems. Additionally, the course forums on ebothi.com allow you to seek help from instructors and fellow students.

    You will upload your project details, including code and system configuration, to the ebothi.com LMS for evaluation. The AI Bot will assist with the submission process and verify the functionality of your Smart Irrigation System before submission.

    Yes, upon successful completion of the course, including the final project, you will receive a certification in Smart Agriculture and IoT Development. The certificate will be automatically delivered via the LMS.

    Absolutely! The project you develop during the course can be adapted for small-scale real-world applications, such as in gardens, greenhouses, or farms. You will learn how to optimize the system for real conditions, making it scalable and applicable for agricultural use.

    After completing the Smart Agriculture course, you can explore advanced courses on ebothi.com, such as: Precision Agriculture using drones and AI. Smart Greenhouses with climate control. Advanced IoT in Agriculture for large-scale farming applications. These advanced courses will further enhance your skills in integrating IoT and AI technologies into agriculture.

    Support is available in multiple forms: AI Bot: Available 24/7 to assist with lessons and projects. Forums: Engage with other students and instructors on the ebothi.com LMS. Live Mentoring Sessions: Book one-on-one mentoring sessions via the platform if you need personalized guidance. This FAQ should help clarify any common concerns or questions students may have while taking the Smart Agriculture course using the ITL AIOT Development Kit.

    eBothi Master Guru

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    ₹2500

    ₹29000

    Lectures

    10

    Skill level

    Intermediate

    Expiry period

    Lifetime
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