Smart Agriculture Use Cases

Smart Solutions Implemented by The Goldie Group for the Agricultural Industry

  • Use Case: Farm

    Issue: Farm issues range from low yield, too much water consumption, knowing the location of their assets and who is accessing their land.

    Challenge: Having a detailed and up-to-minute knowledge of their soil composition and moisture levels is paramount to producing higher yield crops. Along with this, also knowing that their asset investment is not at risk, or someone is not trespassing on their land for any reason.

    Opportunity: The Goldie Group proposes a Low Power Wide Area Network (LPWAN) solution using a single gateway architecture with a LoRa wireless sensor for each farm location. The advantage of LoRa and LPWAN is the range of the antennas (up to 5 miles in specific outdoor geographies) and the extremely low power consumption necessary to power the sensors.

    Solution: A single LTE gateway per location with a capacity of 1000 sensors. Sensors that analyze soil sensitivities and characteristics are vital for the type of crop planned for a specific area. Soil characteristics can change over time through crop rotation, production, pesticides, and herbicides and knowing this faster and more efficiently is vital.  Water sensors can provide real-time data on moisture composition to lower consumption costs or protect crops from heat and other elements brought on by drought conditions.

    Alerts and notifications are set and sent via text or email for soil prep activities, water management, and weather conditions. These thresholds can be set for each sensor based on use case.


    Additional sensors can be added for further protection.

    • GPS for asset tracking for implement and farm equipment security.
    • Gate access monitoring to know if someone is trespassing over a large area.
    • Water tank, feed trough level sensor can alert when water or feed is needed.
    • Grain level monitoring is also available.

    Result: Now, instead of a farmer relying on passive techniques such as soil analysis or old fashion dust test, or assigning this task to a worker per location, they can view the sensor readings at any time via their smartphone or laptop.  The farmer can now can use real-time data to make better decisions versus traditional trial and error methodology. The owner reduces their risk of cost overruns or spoilage by being notified immediately if there is an issue and can take corrective action much sooner.