🌾 AgriTechOn Time📋 Fixed Price

AgriTech Crop Monitoring Platform — UK Precision Agriculture

UK6 min readUpdated June 2025
Region
UK
Contract
Fixed Price
Tech Stack
8 Technologies
IP
100% transferred

Project Overview

A UK agricultural technology company wanted to build a precision agriculture platform for UK arable farmers — ...

Technology Stack

Python/FastAPISentinel Hub APIAWS IoT CoreTimescaleDBLoRaWANReact NativeDefra Rural Land Registry APIAWS eu-west-2

Compliance & Standards

UK GDPR (farmer and field data)Defra SFI reporting standardsEnvironment Agency precision farming dataFACTS methodology complianceCyber Essentials
Step 01

The Challenge

A UK agricultural technology company wanted to build a precision agriculture platform for UK arable farmers — integrating satellite imagery, soil sensor data, and weather data to provide field-level crop health monitoring, variable rate application maps for fertiliser and pesticide, and Sustainable Farming Incentive (SFI) scheme compliance reporting. UK GDPR for farmer data, Environment Agency precision farming data standards, and Defra SFI reporting API integration were the primary compliance requirements. Budget: £100,000.

Step 02

Our Approach

Satellite Imagery Integration

  • Sentinel-2 satellite imagery (ESA Copernicus programme — free, 10m resolution, 5-day revisit) via Sentinel Hub API.
  • NDVI (Normalised Difference Vegetation Index) calculation per field polygon: identifies crop stress areas.
  • RGB, NIR (near-infrared), SWIR (shortwave infrared) bands for crop health analysis.

Field boundaries

integration with Rural Land Registry API (Defra) for farmer-owned field polygon data.

IoT Soil Sensor Network

  • LoRaWAN soil sensors (temperature, moisture, nitrogen levels at 3 depths) deployed per field.
  • AWS IoT Core + TimescaleDB for sensor telemetry.

Anomaly detection

ML model (Python scikit-learn isolation forest) flags sensors outside expected seasonal range.

Alert routing

farmer push notification (React Native app) and agronomist email.

Variable Rate Application Maps

  • Variable Rate Application (VRA) map generation: NDVI spatial analysis → crop stress zones → recommended nitrogen application rate per zone (kg/ha).
  • Export in machine-readable format compatible with John Deere Operations Centre (ISO-XML), Case IH AFS Connect, and CLAAS telematics platforms.
  • UK FACTS (Fertiliser Advisers Certification and Training Scheme) alignment for nitrogen recommendation methodology.

Defra SFI Compliance Reporting

  • Sustainable Farming Incentive (SFI) scheme requires evidence of soil health actions.
  • Platform auto-generates

SFI evidence pack

  • soil sampling records, cover crop monitoring (Sentinel-2 NDVI for cover crop verification), and no-till compliance verification.
  • Defra SFI reporting API (beta) integration for direct submission of scheme evidence data.
Step 03

The Results

Platform live at 16 weeks, £92,000 — under budget.

Farmers enrolled: 280 in first 6 months (62,000 hectares monitored).

NDVI alerts: 34 crop stress events detected early — average 2-week earlier intervention vs manual scouting.

Fertiliser saving: 18% average reduction in N application (VRA vs flat rate) — £67 per hectare average saving.

SFI evidence generation: automated — previously 2 days per farmer per year.

Client Testimonial
The SFI evidence automation alone saved our farmers 2 days each of paperwork. The NDVI early warning caught a fusarium outbreak in one field 3 weeks before it would have been visible on the ground. The VRA nitrogen saving of 18% average is financially significant and environmentally important." — CEO, UK AgriTech Company (name withheld)
ClickMasters Case Study Team
Reviewed by James Whitmore, CTO

Project Details

Sector
AgriTech
Country
UK
Status
On Time
Contract
Fixed Price
Tech Stack
8 Technologies
Reading Time
6 min
IP Ownership
100% transferred
Last Updated
June 2025
Written By
ClickMasters Case Study Team
Reviewed By
James Whitmore, CTO

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