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DLED - Smart Harvest Hub

Case Study

Case Study

Smart farming in controlled environment

DLED is an advanced automated vertical farming application which utilizes our experience in automation and multi-chromatic LED lighting to achieve unprecedented efficiencies in crop production in inner cities, adverse environments and anywhere high-quality organic product is in demand. Whether it’s growing more nutritious mushrooms, enhancing therapeutic benefits of cannabis, even creating faster growing, healthier tilapia, DLED’s potential is limitless.

Agriculture

#SmartFarming

#VerticalFarming

#AgriTech

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The Challenge

To monitor the health and growth of the crops and monitoring/Updating the atmospheric and light levels parameters using Auto and Manual mode.

To fetch real time data from the sensors and show all the parameters like temperature, co2, moisture, electrical conductivity and displaying the same in the application’s GUI.

Scenario

Control the growth and health of the plants remotely using IoT and a cloud-deployed server.

Fetch real time data from the sensors and show all the parameters like temperature, co2, moisture, electrical conductivity and displaying the same in the application’s GUI

What we did

We engineered a secure and scalable system using the latest technologies and development practices

Featured project

Developed a web-based application for end users to monitor and control their crops within a controlled environment.

  • The application will show all the real time parameters along with the crop watering cycle which are essential for the better growth of plants.
  • The user should be able to control all the parameters remotely for the better growth of crop.
  • The IOT based parameter control system installed on each boxes to control the parameters like temperature, co2, moisture, electrical conductivity
  • Arduino board is connected to Raspberry Pi 4 which has WIFI module to transfer the real time data from sensors to the application
  • Provided maintenance and real time support

The Results

Users are able to monitor and update atmospheric and light level parameters using both Auto and Manual modes from anywhere in the world.

Increased Efficiency

Increased Efficiency

IoT devices automate tasks like irrigation, fertilization, and pest control, reducing manual labor and ensuring precise resource use based on real-time data from sensors monitoring soil moisture, weather, and crop health

Resource Conservation

Resource Conservation

By analyzing data on soil conditions and weather forecasts, IoT systems minimize water, fertilizer, and pesticide waste, promoting sustainable farming and reducing costs.

Improved Crop Yields

Improved Crop Yields

Real-time monitoring of environmental factors (e.g., temperature, humidity) and predictive analytics enable farmers to make informed decisions, enhancing crop growth and preventing losses from adverse conditions.

Remote Management

Remote Management

IoT allows farmers to monitor and control farm operations via smartphones or computers, enabling quick responses to issues like equipment malfunctions or sudden weather changes, even from afar.

Data-Driven Insights

Data-Driven Insights

IoT systems collect and analyze vast amounts of data, providing actionable insights for optimizing planting schedules, predicting harvests, and improving long-term farm planning.

Cost Savings

Cost Savings

Automation and precise resource management lower operational costs, while predictive maintenance of equipment reduces downtime and repair expenses.

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