Narrowing Farmland Biodiversity Knowledge Gaps with Digital Agriculture

Traditional approaches to measuring biodiversity on farmland rely on in-field surveys carried out by specialists. These typically involve manual species counts, visual habitat assessments, and periodic sampling. While scientifically robust, these methods are time-consuming, expensive, and difficult to scale across large or complex agricultural landscapes.

As a result, much farmland biodiversity remains poorly understood. Agricultural land accounts for more than a third of global land use, yet it is under-represented in biodiversity monitoring programmes. This leaves policymakers, researchers, and land managers without reliable evidence on which farming practices support nature and which undermine it.

Digital agriculture aims to address this gap by embedding data collection into everyday land management. Common technologies include:

• Satellite and drone-based remote sensing

• Automated acoustic sensors

• Camera traps

• Soil and moisture sensors

• Farm management software platforms

Data from these tools can be combined using analytics or machine-learning techniques to produce a continuous picture of ecological conditions, rather than isolated snapshots.

Crucially, digital systems allow biodiversity indicators to be linked directly to management actions. For example, changes in insect activity can be analysed alongside crop rotations, pesticide use, or field margins. This shifts biodiversity monitoring away from occasional surveys and towards ongoing, repeatable measurement.

Research shows that digital tools can also identify biodiversity hotspots within farmland. These are often small features such as hedgerows, ponds, margins, or less intensively managed parcels that deliver disproportionate benefits for pollination, pest control, and soil function. Because they sit within productive land, these features are often missed by traditional conservation mapping.

Another important development is the reduction in effort required from farmers and land managers. Once equipment or platforms are installed, data can be collected automatically, reducing reliance on manual monitoring. This is critical for uptake, particularly for small and medium-sized farms operating under tight margins.

International research supports the effectiveness of these approaches. Studies comparing ecosystem-based adaptation methods with conventional farming practices show higher insect abundance and greater species diversity where biodiversity-friendly techniques are used. Insects are widely accepted as strong indicators because of their role in pollination and natural pest control.

Digital agriculture is also being tested through publicly funded initiatives. In Europe, projects such as PATH2DEA are exploring how digital tools can support agroecology by helping farmers understand ecosystem dynamics and make decisions based on real-time data.

Why this matters for UK businesses

For UK businesses, farmland biodiversity is no longer solely a concern for farmers or environmental organisations. It increasingly affects compliance, access to finance, procurement requirements, and reputational risk.

Regulation and public funding are moving towards outcomes-based environmental evidence. In England, schemes such as the Environmental Land Management schemes (ELMS) place emphasis on delivering public goods, including biodiversity. Digital monitoring provides a practical way to demonstrate outcomes more consistently and at lower cost than repeated field surveys.

Supply-chain expectations are also tightening. Food manufacturers, retailers, and processors face growing pressure to demonstrate that sourcing does not contribute to biodiversity loss. Where suppliers can provide credible land-management and ecological data, this reduces commercial risk and strengthens long-term relationships.

Biodiversity is also becoming part of mainstream sustainability and risk reporting. Frameworks such as the Taskforce on Nature-related Financial Disclosures are pushing businesses to identify, assess, and manage nature-related risks. Even businesses that do not own land directly may need better data from agricultural suppliers.

Cost control is another factor. Biodiversity-friendly practices, when properly targeted, can support productivity by improving pollination, soil health, and resilience to pests. Digital tools help identify which interventions deliver value and which add cost without measurable benefit a key issue while input prices remain volatile.

There are also implications for tenders and public contracts. Environmental criteria are increasingly embedded in public procurement. Demonstrable biodiversity management, backed by data, can support bids in food supply, land services, and land-use-related infrastructure projects.

Finally, there is a clear risk dimension. Businesses exposed to land use face growing scrutiny from investors, regulators, and auditors. Weak or inconsistent evidence increases the risk of delayed approvals, compliance failures, or challenges to sustainability claims. Digital monitoring improves traceability and reduces reliance on assumptions.

Key facts at a glance

• Agriculture occupies more than a third of global land but is under-represented in biodiversity datasets

• Traditional biodiversity surveys are labour-intensive and difficult to scale across farmland

• Digital agriculture uses sensors, remote sensing, and data platforms to monitor land in real time

• Biodiversity-friendly farms have been shown to support higher insect abundance and species diversity

• Insects are key indicators due to their role in pollination and natural pest control

• UK policy and funding are increasingly linked to environmental outcomes, including biodiversity

SBS insight

From our work with UK SMEs, we see biodiversity moving steadily from a voluntary consideration to a core part of environmental management. Digital agriculture is not a silver bullet, but it materially changes what is practical.

The main value lies in integration. When biodiversity data sits alongside yield, input-use, and cost data, it becomes part of normal decision-making rather than an external obligation. This makes trade-offs clearer and actions easier to justify financially.

We also see growing demand for proportionate, defensible evidence. Not every business needs complex ecological modelling. Many need consistent, credible data that stands up to scrutiny from customers, auditors, and funders. Digital monitoring can support this without placing unrealistic demands on farmers or supply-chain partners.

For SMEs involved in food, land management, construction, or procurement, the direction of travel is clear. Better biodiversity data will be expected, and digital tools will increasingly underpin how that data is generated. Preparing early reduces cost and disruption later.

At SBS, we help businesses interpret these developments in the context of net zero planning, supply-chain risk, and environmental compliance, ensuring biodiversity considerations align with commercial priorities rather than sitting alongside them.

Further reading

International Union for Conservation of Nature (IUCN) – Biodiversity and agriculture
https://www.iucn.org

UK Government – Environmental Land Management schemes
https://www.gov.uk/government/collections/environmental-land-management-schemes

Taskforce on Nature-related Financial Disclosures (TNFD)
https://tnfd.global

EU PATH2DEA project overview
https://cordis.europa.eu/project/id/101060881

SBS guidance on net zero and nature-related risk
https://sbs.eco/net-zero-support

How SBS supports sustainable procurement
https://sbs.eco/sustainable-procurement

Environmental compliance support for UK SMEs
https://sbs.eco/environmental-compliance