Shark AERO
Review in-field measurements, remote-sensing data, weather, and field history together.
Soil moisture, crop cover, weather, and historical records each provide part of the picture. Shark AERO connects these sources to the same field record so they can be assessed together.
System model
Each mapped field has its own record. Sensor measurements, multispectral observations, weather, and historical data are connected to that record and used to produce analyses and alerts.
Field sensors
Continuous measurements from Shark-engineered probe infrastructure installed in the field.
Remote sensing
Multispectral and satellite observations linked automatically to mapped parcels.
Weather
Location-specific conditions and forecasts interpreted with field and spectral data.
Field history
Prior seasons, events, and measurements that contextualize current readings.
Combined field data
Shark AERO
Outputs
Workflow
Define the parcel, connect data from multiple sources to the same field record, and identify changes that may need attention.
01/Map the field
Define parcel boundaries and create a persistent digital field profile.
02/Observe
Collect probe measurements, remote-sensing layers, and weather context.
03/Combine
Associate every source with the same field entity and time window.
04/Analyze
Derive moisture intelligence, vegetation indicators, anomalies, and risk signals.
05/Show
Present recommendations, warnings, and timelines on web and mobile.
Field sensing
Shark Aviation designs and integrates the field sensing platform: probe architecture, electronics, communication, acquisition, device management, and backend storage. Individual sensor elements may come from specialized suppliers. The complete in-field system and its data path are Shark-engineered.
Field mapping
You map agricultural fields inside Shark AERO. Each field is a durable record. It accumulates sensor measurements, satellite observations, spectral indicators, weather context, crop information, and generated insights over time.
Remote sensing
Mapped fields link to available multispectral and remote-sensing observations through external data services. The architecture stays data-source agnostic, so you can add satellite and remote-sensing providers as requirements evolve. Vegetation and field indices support spectral analysis without locking the product to one constellation.
Agricultural intelligence
Shark AERO turns field data from several sources into indicators that support decisions. These outputs are not definitive diagnoses.
01
Soil-moisture and water-stress indicators help users assess irrigation timing. The platform can notify users when conditions suggest that irrigation may be needed; the final decision should also account for field conditions.
02
Remote sensing, field measurements, and historical observations combine to highlight abnormal crop conditions and spatial differences within a parcel.
03
When environmental and field conditions match patterns linked to higher disease risk, Shark AERO can issue an early warning. It indicates risk conditions. It does not claim definitive plant-disease diagnosis.
04
Trends, spatial variation, and derived indicators related to soil and vegetation conditions appear as observable history, not invented certainty.
05
Shark AERO detects unusual changes or within-field differences and brings them forward so you can investigate sooner.
06
You interpret current conditions against previous observations, seasons, and events attached to the same field profile.
Alerting
Shark AERO continuously observes available field information. You do not need to inspect charts all day. The platform can surface irrigation timing, water stress, environmental risk, vegetation anomalies, sensor issues, disease-risk conditions, and weather-related agricultural risks.
Web and mobile
Review field overviews, maps, sensor status, spectral layers, historical graphs, irrigation and crop-health indicators, weather context, device status, and activity timelines on web or mobile. Mobile access fits alerts that arrive when a field needs attention.
Shark AERO
Example notifications
01
Field conditions indicate irrigation may be required.
02
Conditions associated with increased disease risk have been detected.
03
A vegetation anomaly has been detected in Field 04.
Examples for illustration. Actual alerts depend on configured sources, thresholds, and deployment.
Enterprise scale
Large farms, irrigation organizations, research institutions, and public-sector agricultural bodies can deploy Shark AERO as a customized, organization-specific system.
When data sovereignty and infrastructure ownership matter, Shark AERO can run on customer-controlled environments: dedicated databases, private networks, and on-premise operation.
Explore enterprise deploymentsRelated platforms
Engage
Tell us about your fields, monitoring needs, and whether you need a farm-scale or institution-scale deployment. Engineering will follow with a concrete technical path.
