AgTech / Commercial Horticulture / Industrial IoT
Commercial nurseries often rely on manual watering, leading to inconsistent crop quality and significant water waste. To automate this process, hardware must maintain high-precision measurement while withstanding constant exposure to UV radiation, corrosive fertilizers, pesticides, and frequent submersion.
We developed an autonomous, high-capacity IoT scale system that calculates plant moisture levels through real-time mass measurement. The system communicates wirelessly with central pump stations to trigger irrigation based on empirical data.
Our engineering focus prioritized three areas:
The transition from manual estimation to data-driven automation allows for precise resource management. The final product reduces water consumption and improves crop yield consistency in harsh, isolated environments.
AgTech / Commercial Horticulture / Industrial IoT
Commercial nurseries often rely on manual watering, leading to inconsistent crop quality and significant water waste. To automate this process, hardware must maintain high-precision measurement while withstanding constant exposure to UV radiation, corrosive fertilizers, pesticides, and frequent submersion.
We developed an autonomous, high-capacity IoT scale system that calculates plant moisture levels through real-time mass measurement. The system communicates wirelessly with central pump stations to trigger irrigation based on empirical data.
Our engineering focus prioritized three areas:
The transition from manual estimation to data-driven automation allows for precise resource management. The final product reduces water consumption and improves crop yield consistency in harsh, isolated environments.