P23 · Representative solution case · Government / Agriculture / Enforcement

Crop Monitoring & Narcotics/Regulated Agriculture GIS

Which plots should inspectors visit first, and can current evidence defend the acreage and yield assessment?

Evidence distinction: this is a representative solution case constructed from the source requirements and Mappls delivery pattern. It is not presented as a named-customer outcome unless a separate verified customer story is explicitly linked.

01 · Operating context

The decision environment and the problem to change

Licensed/regulated cultivation is difficult to verify consistently across plots, crop stages, yield and field inspections.

Primary operating owner

Narcotics Commissioner; Agriculture/Horticulture Director; Enforcement/Survey Head

Economic decision

Revenue/Home/Agriculture Secretary; Agency Commissioner

Technical influence

Remote Sensing/AI; GIS; Field Survey; Licensing/Permit IT

Why action becomes urgent

Annual crop licensing cycle, acreage/yield dispute, remote-sensing modernisation, enforcement review, scheme expansion.

02 · Before and after

Change the operating model, not only the interface

Before Mappls

Fragmented context and delayed action

Licensed/regulated cultivation is difficult to verify consistently across plots, crop stages, yield and field inspections.

  • Location, operational and enterprise data remain separated
  • Stakeholders make inconsistent decisions from partial context
  • Exceptions are found late and evidence is difficult to reconstruct
With Mappls

A governed location-aware decision loop

GIS plot registry, mobile survey, imagery preprocessing, crop/yield/biophysical models, change detection, inspection planning and monitoring application.

  • One role-aware workspace in Mappls Asset Inspection AI
  • Live context moves directly into the responsible workflow
  • Every decision, scenario and outcome can be measured and audited

03 · Stakeholder experience

One shared system, different role moments

Own and govern

Narcotics Commissioner

Own and govern

Agriculture/Horticulture Director

Decide and coordinate

Enforcement/Survey Head

Decide and coordinate

Revenue/Home/Agriculture Secretary

Decide and coordinate

Agency Commissioner

Execute and verify

Remote Sensing/AI

Execute and verify

GIS

Execute and verify

Field Survey

Inside Mappls Pro, the same user can hold this role here and a different role in another application. Membership, saved runs and administration remain app-specific.

04 · Day-in-the-life journey

How the solution turns information into an operational result

01

Frame the operating decision

Plot/licence data quality? Imagery frequency/resolution? Ground truth? Model accuracy? Inspection capacity? Legal evidentiary needs?

02

Connect the location foundation

Bring the required map, address, road, place, imagery, asset, customer and operational data into a governed Inspection AI workspace.

03

Act through role workflows

Asset risk, Imagery review, Inspection, Defects, Remediation give each stakeholder the information, decision and action appropriate to their role.

04

Prove the intervention

One-season/district pilot with plot registry, imagery, field samples, model/change detection and application.

05

Scale and continuously improve

Operationalise the model through Per area/season data and analytics + platform/users + field app + managed modelling/O&M., adoption governance, service measurement and a managed improvement backlog.

05 · Solution and data architecture

The Mappls capabilities behind the experience

Location foundation

Map, address, place, route, imagery, boundary and context layers

Operational context

Customer, asset, order, sensor, incident, task or transaction records

Application workflow

Asset risk · Imagery review · Inspection · Defects · Remediation

Outcome loop

Plot match and model accuracy; anomaly precision; inspection productivity; evidentiary acceptance; scale data plan.

RealView 360 & Ground Imagery

Geotagged 360 imagery, photos and videos

Product details

GeoAI & Spatial Decision Models

ML/AI, risk, demand, accessibility, image and anomaly models

Product details

Drone/LiDAR/Reality Capture

Survey, orthomosaic, point cloud, 3D and inspection outputs

Product details

Survey, Integration & Managed Updates

Field survey, data creation, integration, migration, validation and O&M

Product details

06 · Outcome and evidence

Make the value claim measurable before scaling

Value hypothesisBusiness case: lower inspection effort, better anomaly targeting, accurate area/yield assessment and stronger regulatory compliance.
Success criteriaPlot match and model accuracy; anomaly precision; inspection productivity; evidentiary acceptance; scale data plan.

Bounded proof

One-season/district pilot with plot registry, imagery, field samples, model/change detection and application.

  • Confirm the baseline and decision scope: Plot/licence data quality? Imagery frequency/resolution? Ground truth? Model accuracy? Inspection capacity? Legal evidentiary needs?
  • Use representative and, where approved, customer data in the configured workspace
  • Review measurable success with the operating and economic owners: Plot match and model accuracy; anomaly precision; inspection productivity; evidentiary acceptance; scale data plan.
  • Document data quality, adoption, security, service and scale findings
  • Convert evidence into a phased production scope and accountable value plan

07 · Governance and scale

Operate the solution safely and sustainably

Identity and access

Server-enforced identity, least-privilege app membership, role-specific actions and auditable administration.

Data governance

Source lineage, quality thresholds, update cadence, retention, consent and controlled data sharing.

Operating governance

Named process owners, exception SLAs, escalation, change control and adoption measurement.

Value governance

Baseline, intervention and outcome metrics reviewed on an agreed cadence with accountable owners.

Your outcome, powered by Mappls

Put Crop Monitoring & Narcotics/Regulated Agriculture GIS into your operating context

Bring the baseline, workflow, users, data and success criteria. Mappls will shape a bounded proof and production path.

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