Farming Precision Equipment and Predictive Maintenance
Continuously monitoring of equipment allows for planned maintenance cycles. While significantly reducing the costs and downtime associated with unplanned and inconvenient maintenance, predictive maintenance also reduces unnecessary manual check-ups and the premature replacement of equipment before the end of normal life cycles.
The CHALLENGE:
Maintaining the optimal working condition of farm machinery is key for maximum yield and ROI. Without IoT equipment monitoring, operators may not know if a piece of machinery is malfunctioning, or is about to malfunction, until it’s too late. This leads to delays in operational productivity and expensive repairs.
Where SensiML Can Help
SensiML Analytics Toolkit can locally analyze complex sensor data from multiple sensors (vibration, audio, pressure, current, voltage, load) in real-time providing insight even in remote rural locations with limited connectivity where cloud-based AI is impractical or impossible. With self-learning algorithms, SensiML-enabled IoT sensors can identify system anomalies linked to reduced operating efficiency and impending breakdowns. Benefits include:
Herd Health and Wearables
The CHALLENGE:
Farmers are moving towards technology that allows them to monitor their herd from anywhere. Challenges include device power efficiency and battery life in small form factor sensors, degree of meaningful insight achievable from low-power endpoints and integration with existing livestock operations.
Where SensiML Can Help
With efficient algorithms capable of running on battery-powered animal wearables with long battery life,
SensiML enables true insight from motion, audio, temperature, and biosensor feeds. Since the algorithms run locally on the sensor itself, communicated data can be limited to sparse event notifications that are compatible with long-range, low-power networks like NB-IoT and LoRA. SensiML has demonstrated a variety of animal-based wearable algorithms including:
Use Cases
Ready for the Real World?
Try Proto Edition which comes enabled by default to generate ML models for motion, vibration, gesture recognition, and countless other subsonic sensor (i.e. requiring <10kHz sample rate) real world applications.
