Assess
Baseline missing
Soil tests, crop context, NDVI and weather data are sampled in different systems. The field baseline is rarely current when fertiliser decisions are made.
Mutus Tech
Soil Health & Fertiliser Intelligence for Productive Farms.
Mutus Tech turns soil, crop, climate, satellite and farm activity data into 12-month fertiliser plans, field tasks and evidence-ready records for sustainable farming.
- Spatial · field-level intelligence
- 12-month NPKS plan
- Evidence-ready records
Live ParallelFarm screenshot — Annual Fertiliser Prediction.
The scaling problem
Fertiliser decisions stall because the farm workflow is fragmented in three places.
Plan / Execute
Plan not executed at field
Recommendations sit in PDFs and spreadsheets. Farmers, agronomists and managers work from different plans, dates and field boundaries.
Report
Evidence not decision-ready
Input records, task completion, NDVI, yield forecasts and reports live in fragments. It is hard to prove what was recommended, applied and changed.
The Mutus approach
One operating layer for soil health and fertiliser decisions.
The same field polygon threads Assess → Plan → Execute → Monitor → Report. Every season's report data refines the next plan.
- 01 Assess
Establish the field-level baseline — crop, soil chemistry, climate, NDVI and records — on one polygon, with cyclic refresh.
- 02 Plan
Generate a 12-month N/P/K/S plan with yield and environmental-performance estimates for that polygon.
- 03 Execute
Publish recommendations as Farm Tasks and push notifications with photo, input and completion logging.
- 04 Monitor
Track NDVI, crop condition, plan compliance and optional biotic-stress signals — deviation flagged within the season.
- 05 Report
Compile field evidence for agronomists, farm groups, supply chains and standards partners.
The same field polygon is the unit at every stage — so evidence is created during the workflow, not reconstructed after it.
Our solutions
Three product lines, one operating layer.
Primary
Sustainable Fertiliser Management
Generate field-level NPKS plans, run N-rate sensitivity checks, publish recommendations as Farm Tasks and keep applied inputs traceable. Web and mobile, one source of truth.
Explore Parallel Farm →
Field-health extensionAI Adaptive Pest Management
Mobile pest detection and field-level pest intelligence as an optional crop-health signal alongside NDVI and records. Co-developed with ADAS, Sheffield and Liverpool — published in IEEE IoT Journal.
Explore Pezego →
FoundationPlatform & Technology
The mobile-cloud architecture, field-polygon data model, AI model services and reporting pipelines that thread every module on the same operating record.
Explore the platform →
Live modules
Built modules in use today.
These are real surfaces in the Parallel Farm platform — not concepts. Screenshots throughout are taken from the production environment.
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Annual Prediction
12-month N/P/K/S plan per field, with yield and grain-composition estimates.
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N Calculator
Economic sensitivity checks around an agronomically derived N rate when fertiliser or grain prices change.
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NDVI Analysis
Per-polygon vegetation-vigour timeline using Sentinel-2 Copernicus imagery; refresh every ~5 days, subject to cloud cover.
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Farm Tasks
Recommendations published as field-level work orders with timing, rate, owner and status.
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Climate History
Per-field temperature, rainfall and radiation history feeding plan assumptions and review.
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Carbon Footprint
Per-field GHG estimation from fertiliser, fuel and machinery use — environmental-performance estimation, not self-issued MRV.
Also live: Smart Planning, Records, Reports, Market Prices.
Data and research foundation
What our recommendations are built on — and where we draw the line.
131
Mapped UK farm records
Field-level data observed in the platform dataset — soil profiles, climate context, crop and management records. UK / Ghana pilot-demo split documented for partner due diligence.
10,000+
Annotated pest images
Collected from 20+ UK farms over two seasons across 38 pests and 10 field crops; underpins the PEZEGO IEEE IoT Journal paper.
£710K+
UKRI / Innovate UK award
Active Climate-Smart Fertiliser consortium project (Jan 2024 – Sep 2026), calibrating field-level nutrient planning with academic partners.
Datasets are used for research, model development and pilot calibration. Field recommendations remain subject to agronomic context and partner validation. Soil-health interpretation combines NDVI signals with soil tests and management records. Carbon Footprint figures are environmental-performance estimates, not self-issued MRV or carbon-credit certification.
Validation
Research-backed, partner-calibrated.
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UKRI / Innovate UK
Climate-Smart Fertiliser consortium
Jan 2024 – Sep 2026 · £710K+ total funding award. Calibrating field-level nutrient planning and climate-smart practice with academic partners.
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IEEE Internet of Things Journal
PEZEGO peer-reviewed paper
Co-developed with RSK ADAS, University of Sheffield and University of Liverpool. 20+ farms · 10,000+ annotated images · 38 pests · 10 crops.
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IEEE INDIN 2025
DA-Mamba N₂O state-space model
Integrated as a ParallelFarm microservice for environmental-performance modelling. University of Sheffield + Mutus Tech.
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BridgeAI / Innovate UK
Programme support
External programme support for AI scale-up and technical collaboration in agri-food.
Adopters
Who Mutus Tech is for.
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Farmers & farm groups
Manage nutrients and crop health from one operating record across multiple fields.
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Agronomists & advisers
Multi-farm nutrient planning with AHDB-aligned outputs, NDVI evidence and scenario modelling.
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Farm management groups
A portfolio operating layer — plans, tasks, records and reports across estates.
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Agri-food supply chains
Insets and sourcing evidence drawn from field-level nutrient and crop-response data.
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Public-sector extension
Regional deployment for extension officers and pilot programmes.
Partners
Research, project and ecosystem partners.
Research partners
Universities and applied-research bodies we co-develop modules and validate science with.
Project & programme support
Funded programmes and consortia that back our research and product development.
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- BridgeAI
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Industry & ecosystem partners
Industry collaborators, technology partners and ecosystem organisations.
Latest updates
Recent project milestones and news.
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8 June 2025
Mutus Tech joins the UK delegation to GreenTech 2025
Mutus Tech has been invited to join the official UK delegation to GreenTech 2025 in Amsterdam, 10–12 June, alongside other UK agritech and horticulture innovators.
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8 June 2025
Mutus Tech to exhibit at the BridgeAI Annual Showcase 2025
Mutus Tech will join the BridgeAI Annual Showcase 2025 in London on 16 June, presenting our latest AI-powered precision agriculture work.
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8 May 2025
Expanding international partnerships for climate-smart agriculture
New collaborative initiatives across Africa, Latin America and other key agricultural regions aim to adapt AI-enabled tools to local farming contexts.
Work with us
Interested in a field trial or research partnership?
We're actively looking for three kinds of partners to scale from pilot fields to farm-group-grade evidence.
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01
One-season soil-health pilot partners
Productive farms, farm groups or smallholder programmes ready to run the full Assess → Plan → Execute → Monitor → Report loop on defined fields for one season.
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02
Standards, agronomy & validation partners
Certifiers, agronomists, soil advisers and standards bodies to co-design outcome packs so our data plugs into partner-validated evidence workflows.
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03
Supply-chain, programme & funding partners
Buyers, funders and public-sector programmes ready to convert partner-validated nutrient-efficiency and soil-health outcomes into follow-on commitments.