Baseline
Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.
P23 · Implementation blueprint · Mappls Asset Inspection AI
Crop Monitoring & Narcotics/Regulated Agriculture GIS
Licensed/regulated cultivation is difficult to verify consistently across plots, crop stages, yield and field inspections.
01 · Target operating outcome
Define the change before choosing the technology
Which plots should inspectors visit first, and can current evidence defend the acreage and yield assessment?
Business case: lower inspection effort, better anomaly targeting, accurate area/yield assessment and stronger regulatory compliance.
Target
Plot match and model accuracy; anomaly precision; inspection productivity; evidentiary acceptance; scale data plan.
02 · Solution architecture
One connected flow from source data to operational action
GIS plot registry, mobile survey, imagery preprocessing, crop/yield/biophysical models, change detection, inspection planning and monitoring application. We combine remote sensing with field evidence and licensing records so scarce inspection resources focus on the highest-risk plots.
Data foundation
Map, customer, asset, sensor and enterprise data
Intelligence services
Search, routing, GeoAI, rules and spatial models
Role workflows
Asset risk · Imagery review · Inspection · Defects · Remediation
Decision and outcome
lower inspection effort, better anomaly targeting, accurate area/yield assessment and stronger regulatory compliance.
03 · Users and RBAC
Give every stakeholder the view and actions they actually need
Sponsor / owner
Narcotics Commissioner
Sponsor / owner
Agriculture/Horticulture Director
Manager / analyst
Enforcement/Survey Head
Manager / analyst
Revenue/Home/Agriculture Secretary
Manager / analyst
Agency Commissioner
Operator / specialist
Remote Sensing/AI
Operator / specialist
GIS
Operator / specialist
Field Survey
Operator / specialist
Licensing/Permit IT
Operator / specialist
Asset owner
The shared Mappls identity is separated from application membership. A user can be an administrator in one app, an analyst in another and a viewer elsewhere.
04 · Data and integration
Connect the minimum information needed to make the workflow real
Location foundation
Map, road, address, place, imagery, boundary and terrain layers appropriate to the decision.
Enterprise context
Customer, order, asset, vehicle, incident, task, sensor or transaction records from systems of record.
Integration pattern
APIs, SDKs, secure batch, streaming events, webhooks, files or on-premise integration depending on architecture.
Security and control
Least-privilege RBAC, audit events, encrypted transport, tenant separation and cloud, private or offline deployment.
Recommended Mappls building blocks
RealView 360 & Ground Imagery
Geotagged 360 imagery, photos and videos
Product detailsGeoAI & Spatial Decision Models
ML/AI, risk, demand, accessibility, image and anomaly models
Product detailsDrone/LiDAR/Reality Capture
Survey, orthomosaic, point cloud, 3D and inspection outputs
Product detailsSurvey, Integration & Managed Updates
Field survey, data creation, integration, migration, validation and O&M
Product details05 · Proof of value
Use a bounded implementation to answer the scale decision
One-season/district pilot with plot registry, imagery, field samples, model/change detection and application.
- Confirm data, geography, users and workflow: Plot/licence data quality? Imagery frequency/resolution? Ground truth? Model accuracy? Inspection capacity? Legal evidentiary needs?
- Configure Mappls Asset Inspection AI for the selected role set
- Run baseline and intervention scenarios with real stakeholder reviews
- Evaluate agreed criteria: Plot match and model accuracy; anomaly precision; inspection productivity; evidentiary acceptance; scale data plan.
- Package production scope and commercial model: Per area/season data and analytics + platform/users + field app + managed modelling/O&M.
06 · Rollout and operating model
Move from proof to governed adoption
Week 0–2
Discover
Baseline, data, stakeholders, security and architecture
Week 3–6
Configure
Data connection, role workflows, rules and dashboards
Week 7–10
Prove
Live users, measurement, change support and decision review
Production
Scale
Phased geographies, integrations, service model and continuous improvement