Precision agriculture procurement — sensors, telemetry and decision systems
A vendor-neutral procurement guide to precision-agriculture technology stacks: sensors, telemetry, satellite and drone data layers, farm management software and decision-support platforms. Selection, integration and 5-year TCO.
- •Precision agriculture is a system integration problem — the hard cost is not sensors, it is the integration between sensors, agronomy models and decisions.
- •Start with the decision you want to make, then work back to the data layer — not the other way round.
- •Cloud data ownership is a commercial issue, not an IT issue — negotiate it in the master service agreement, not the DPA.
- •5-year TCO is dominated by subscriptions and integration, not by hardware — evaluate on TCO, not on sensor unit cost.
The 4-layer precision-ag technology stack
Every precision-ag RFQ must specify each layer and the interfaces.
- 1
1. Sensing layer
Soil moisture, EC, weather stations, plant sensors, remote sensing (satellite / UAV).
Deliverable: Sensing architecture.
- 2
2. Connectivity & telemetry
LoRaWAN, NB-IoT, cellular, satellite backhaul, edge gateways.
Deliverable: Connectivity design.
- 3
3. Data platform
Ingestion, storage, integration APIs, ownership terms.
Deliverable: Data platform specification + DPA.
- 4
4. Decision layer
Farm management software, agronomic models, alerts, mobile UX, ERP integration.
Deliverable: Decision-layer specification.
Precision-ag benchmarks
Indicative ranges for commercial deployments.
| Category | Indicative rate | Notes |
|---|---|---|
| Soil moisture sensor (per point) | $400–$1,200 | Includes installation |
| Weather station (commercial) | $3k–$12k | Cellular telemetry included |
| LoRaWAN gateway | $800–$2,500 | Covers 3–10 km rural |
| Satellite imagery subscription | $3–$15 / ha / year | Multi-spectral, weekly |
| Farm management software | $2–$10 / ha / year | Volume-tiered |
| Precision-ag integration effort | 1.5–4% of total farm CAPEX | First deployment; drops with scale |
Subscriptions dominate 5-year TCO; model renewals explicitly.
Precision-ag supplier evaluation
Weight platform openness, data ownership and integration credibility.
| Criterion | Weight | What to evaluate |
|---|---|---|
| Reference deployments (comparable crop and scale) | 20% | Farm-level, not pilot-level. |
| Data ownership and portability | 20% | Owner retains data; export in open formats. |
| Open APIs and integration track record | 15% | Documented APIs, ERP connectors. |
| Agronomic model credibility | 15% | Published validation, not marketing. |
| Local support and language | 10% | In-country support and local-language UX. |
| Financial strength & vendor viability | 10% | Ability to survive multi-year rollout. |
| Commercial terms | 10% | Subscription escalation caps, exit terms. |
Risk register — the six that matter most
Vendor lock-in via proprietary data formats
Mitigation: Open-format export clause in MSA.
Sensor sprawl without decisions
Mitigation: Decision-first specification — refuse hardware not tied to a decision.
Subscription escalation year 3+
Mitigation: Cap escalation and negotiate multi-year rates upfront.
Poor connectivity in field
Mitigation: Site survey before procurement; hybrid connectivity (LoRa + cellular).
Downloadable templates
Editable, supplier-neutral templates you can adapt to your project. Pair the CAPEX planner with the RFQ template — the RFQ handoff sheet is pre-wired to feed your commercial section.
Interactive tools
Supplier-neutral calculators to stress-test assumptions before you issue an RFQ.
Project Configurator
9-step configurator that outputs a component list, procurement packages and expert list you can push into the RFQ Builder.
Open toolGreenhouse Technology Selector
Match digital layer to structure and crop.
Open toolProject Readiness Assessment
Score your project against a supplier-neutral readiness rubric before issuing RFQs.
Open toolMove commercial greenhouse procurement into a structured RFQ
Editorial · not a sales pitchWhen your feasibility, financing envelope and technical specification are aligned, the RFQ Builder produces a supplier-neutral request that comparable suppliers can quote against on the same basis.
What a complete, supplier-neutral request on this topic usually includes. Use it as a checklist before submitting.
- Structure type (Venlo glass, polycarbonate multi-span, tunnel) and covered area (m² / ha)
- Climate strategy: heating, cooling, screens, dehumidification and target set-points
- Growing system, irrigation and fertigation scope with water source & quality data
- Energy mix (boiler, CHP, PV, storage) and grid capacity constraints
- Contract structure (EPC, EPC-M, multi-contract) and required performance guarantees
- Financing route: equity/debt split, DSCR target, off-take letters and permitting status
Open the builder with the topic pre-selected. You stay in control — nothing is submitted until you review and confirm.
Free to submit · supplier-neutral · reviewed by a specialist before any supplier is contacted.
Frequently asked questions
Executive-level answers in English, Spanish, French and Portuguese.
English
Where do most precision-agriculture projects fail?+
At the integration layer — data flows between sensors, platform and decision systems. Buy less hardware, invest more in integration and change management.
How much of farm CAPEX should precision-ag represent?+
1.5–4% for a first commercial deployment. Above 5% typically indicates hardware without decision use-cases.
Who owns the data collected?+
The farm owner, contractually. Negotiate this in the master service agreement — open-format export, no license grant beyond what is necessary to deliver the service.