Agriculture has been one of the primary occupations of man since early civilizations and even today manual interventions in farming are inevitable. There are many plants that are very sensitive to water levels and required specific level of water supply for proper growth, if this not they may die or results in improper growth. It’s hardly possible that every farmer must possess the perfect knowledge about growing specifications of plants in case of water supply. So, to have a help, an attempt is made by introducing the proposed project named Smart Sensors Based Monitoring System for Agriculture Using FPGA. Water saving, improvement in agricultural yield and automation in agriculture are the objectives of this project. By the use of sensors in project, awareness about changing conditions of moisture, temperature and humidity level will be made available for the farmers so that according to changing conditions of moisture, temperature and humidity farmers will be able to schedule the proper timing for water supply and all the necessary things that required for proper growth of plants. This system can also be used in greenhouses to control important parameters like temperature, soil moisture, humidity etc as per the requirement of proper growth of plants.

Project Proposal

1. High-level project introduction and performance expectation

      Agriculture has been one of the primary occupations of man since early civilizations and even today manual interventions in farming are inevitable. There are many plants that are very sensitive to water levels and required specific level of water supply for proper growth, if this not they may die or results in improper growth. It’s hardly possible that every farmer must possess the perfect knowledge about growing specifications of plants in case of water supply. So, to have a help, an attempt is made by introducing the proposed project named Smart Sensors Based Monitoring System for Agriculture Using FPGA. Water saving, improvement in agricultural yield and automation in agriculture are the objectives of this project. By the use of sensors in project, awareness about changing conditions of moisture, temperature and humidity level will be made available for the farmers so that according to changing conditions of moisture, temperature and humidity farmers will be able to schedule the proper timing for water supply and all the necessary things that required for proper growth of plants. This system can also be used in greenhouses to control important parameters like temperature, soil moisture, humidity etc as per the requirement of proper growth of plants

Objective:  -

• To collect the data from temperature, humidity and light sensor using FPGA cloud connectivity kit.
• Build an IoT Edge Module that Gathers Sensor Data and Store it in the Azure Container Registry (ACR)
• Data visualization of the collected data using Power Bi.
• Remotely access the real time data using web-based applications.

 High-level project introduction and performance expectation: -

The proposed system comprised of sensing unit, monitoring unit and wireless unit. The sensing unit made up of different types of sensors such as temperature, light intensity and relative humidity sensors. Monitoring unit consists of DE10-Nano Cyclone V SoC FPGA Board whereas wireless unit comprises of Wi-Fi, using ESP-WROOM-02 module.

The entire project can be described in four parts.

1. Install the Azure IoT Edge Runtime: - This part covers the basic hardware and software set up for connecting the Intel Cyclone V SoC on the DE10-Nano to Microsoft Azure IoT edge. After completing this part, we can use Azure IoT Edge to manage the DE10-Nano along with other IoT devices in the cloud.

2. Build an Azure Container-based Application using Microsoft Visual Studio: - This part provides instructions for how to create a container application using Visual Studio Code (VS Code) and deploy it to the DE10-Nano.

3. Build an IoT Edge Module that Gathers Sensor Data and Store it in the Azure Container Registry (ACR): - This part provides instructions for creating an Azure IoT Edge container application that sends sensor data from the DE10-Nano G-Sensor to the Azure Cloud.

4. Data visualization using Power Bi: - It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough to create reports and dashboards.

2. Block Diagram

3. Expected sustainability results, projected resource savings

• The measurements provided by this monitoring systems can be used in mapping out the climate conditions and taking required measures for improving the agricultural yield.
• IoT-enabled agriculture allows farmers to monitor their product and conditions in real-time. They get insights fast, can predict issues before they happen and make informed decisions on how to avoid them.
• This system focused on optimizing the use of resources—water, energy, land. The data collected from diverse sensors in the field which helps farmers accurately allocate just enough resources to within one plant.
• Based on the data collected from the temperature, humidity and light sensors farmers can determine the best moment to plant crops and harvest them.

4. Design Introduction

The proposed system comprised of sensing unit, monitoring unit and wireless unit. The sensing unit made up of different types of sensors such as temperature, light intensity and relative humidity sensors. Monitoring unit consists of DE10-Nano Cyclone V SoC FPGA Board whereas wireless unit comprises of Wi-Fi, using ESP-WROOM-02 module.

The entire project can be described in four parts.

1. Install the Azure IoT Edge Runtime: - This part covers the basic hardware and software set up for connecting the Intel Cyclone V SoC on the DE10-Nano to Microsoft Azure IoT edge. After completing this part, we can use Azure IoT Edge to manage the DE10-Nano along with other IoT devices in the cloud.

2. Build an Azure Container-based Application using Microsoft Visual Studio: - This part provides instructions for how to create a container application using Visual Studio Code (VS Code) and deploy it to the DE10-Nano.

3. Build an IoT Edge Module that Gathers Sensor Data and Store it in the Azure Container Registry (ACR): - This part provides instructions for creating an Azure IoT Edge container application that sends sensor data from the DE10-Nano G-Sensor to the Azure Cloud.

4. Data visualization using Power Bi: - It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough to create reports and dashboards.

5. Functional description and implementation

6. Performance metrics, performance to expectation

7. Sustainability results, resource savings achieved

8. Conclusion