GoodLeaf Farms Improves Crop Yields and Sustainability with Data-Driven Farming

GoodLeaf Farms, a leading agricultural company in Canada, faced challenges in managing the vast data generated by IoT sensors and cameras used on their vertical farms. These sensors monitored various parameters such as lighting, air quality, and growing media, producing massive data volumes that needed to be processed to optimize crop yield and sustainability outcomes. No off-the-shelf solution fit GoodLeaf's needs, so they partnered with Adastra and received support from SCALE AI to develop a custom AI-driven analytics platform using Microsoft Azure technologies. The implemented system included Azure Synapse Analytics for real-time reporting and management, Microsoft Power Platform for financial data collection, Power Apps for data allocation and monetization, and plans to expand with Azure AI and Azure Machine Learning. The custom platform improved the farm's ability to make data-driven decisions, reduce waste, streamline financial management, and optimize shipping and order fulfillment. These digital capabilities have also enabled GoodLeaf Farms to pursue longer-term sustainability goals, such as reducing their carbon footprint and developing plant varieties with higher nutritional value. The result is a more efficient, scalable, and sustainable farming operation that leverages advanced Microsoft cloud and AI solutions with ongoing support from technology partner Adastra.

Organization
GoodLeaf Farms
Industry
Agriculture
Location
Canada
Published
November 2023

Reported outcomes

Strategic outcomes

Better decisions & insightImproved data-driven farm decisionsCost efficiencyReduced waste through optimizationScale & capacityMore efficient, scalable farming operationSustainability & ESGAdvanced carbon footprint reduction goals

Primary read

Use case focus

Showing 3 of 4

  • 1IoT-Driven Crop Yield Optimization
  • 2Real-Time Data-Driven Farm Reporting
  • 3AI-Enabled Waste Reduction for Vertical Farming
  • Managing huge volumes of sensor and camera data for crop monitoring.
  • Lack of off-the-shelf analytics or data management solutions for vertical farms.
  • Optimizing crop yield, reducing waste, and improving operational visibility in a data-rich environment.
  • Need for greater visibility and data-driven decision making.
  • Sustainability and reducing the environmental footprint of vertical farming.
  • Partnered with Adastra to design and implement a custom data and analytics platform.
  • Utilized Azure Synapse Analytics for data acquisition, reporting, and management.
  • Adopted Power Platform and Power Apps for financial and process data collection and automation.
  • Leveraged Azure FarmBeats for advanced farming insights.
  • Planned integration of Azure AI and Azure Machine Learning for deeper analytics and automation.
  • Gained real-time visibility into farm operations.
  • Reduced waste through optimized inventory and order processing.
  • Improved crop yield and operational efficiency.
  • Streamlined reporting and financial management workflows.
  • Advanced toward sustainability and carbon footprint reduction goals.
Architecture

The solution integrates IoT sensor and camera data with Azure Synapse Analytics for reporting and management. Financial and process data are collected and automated with Power Platform and Power Apps. Data from cameras and sensors is further processed using Azure FarmBeats. The architecture is designed for ongoing integration of Azure AI and Azure Machine Learning for enhanced analytics and automation.

Implementation partners1
Sources & evidence1
Groundedness: Unavailable

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