Maximize acre yields with 30% less water.
AgriTechPulse fuses Sentinel-2 multispectral imagery with underground soil capacitance probes to dynamically prescribe micro-irrigation and forecast harvest yield to 97.8% accuracy.
Root-zone soil moisture dropped below 20% critical threshold during nut-fill stage.
AgriTechPulse Tri-Surface Architecture
Interactive Crop Modeler
Simulate soil moisture replenishment and harvest yield gains.
Select an agricultural parcel to view multispectral canopy stress indicators and trigger pulsed variable-rate fertigation.
Central Valley Block 4 (Almond Orchards)
Nonpareil Almond Trees • Soil Moisture: 18.2%
Prevented premature stomatal closure during peak photosynthesis window. Projected harvest output increased by +12.4% with 420,000 gallons of conserved groundwater.
Engineering Architecture
Edge LoRaWAN telemetry and multi-spectral convolutional models.
Long-range solar-powered soil probes broadcast over LoRaWAN gateways at 915 MHz, synchronizing directly with deep CNN vision models trained on Sentinel and Planet satellite bands.
10-Meter Spectral Bands
Processes Red-Edge and Near-Infrared (NIR) spectrum channels for early chlorosis detection.
Automated SCADA Valves
Triggers solar solenoid drip irrigation blocks based on localized evapotranspiration (ETc) demand.
Crop Phenology Tracking
Calculates Growing Degree Days (GDD) to predict exact bloom, fruit set, and harvest maturity dates.
Ready to engineer your custom agtech ai architecture?
Explore our production engineering, fixed-cost delivery, or talent-on-demand models to build mission-critical digital systems.