MarketBrug is evaluating a layered, vendor-neutral approach to smart irrigation for container gardens. Capability labels below distinguish pilot foundations from planned and future work.
Central Texas-adapted edible plants, appropriate containers or beds, growing media and supports configured for a named growing scenario.
Low-pressure drip lines, emitters and straightforward schedules designed around the containers or beds in the pilot configuration.
Tested third-party sensors may provide soil-moisture, temperature and sunlight readings as operational indicators rather than laboratory measurements.
Certified third-party timers or controllers may run bounded watering schedules. Manual operation and clear overrides remain part of the design.
Readings and garden context may support condition-based alerts for stale data, unusual conditions and practical events that deserve the grower’s attention.
AI-assisted care and problem diagnosis may combine approved crop playbooks with garden context to explain possible next steps, assumptions and confidence.
The grower remains responsible for the garden. Basic irrigation and care must remain understandable when connectivity or a digital service is unavailable.
AI may help explain conditions, seasonal choices and possible next actions. During the pilot, bounded controller rules—not AI—would govern any scheduled watering.
Low-confidence or contradictory conditions should ask for a grower check or human review. Basic irrigation must remain operable if the app, cloud service, AI provider or internet connection is unavailable.
A connected pilot may use garden configuration, readings, device health, alerts and grower actions to provide guidance and evaluate reliability. Personal data should be minimized; photos and precise household location would remain optional if introduced.
