GCRI · Food Nexus
Agritech and innovation
Innovation shapes how food systems adapt: new crop varieties, precision application of water and inputs, digital advisory and market services, biological inputs and new protein sources. Each can raise productivity or resilience, and each raises questions of safety, access, data rights, market concentration and dependence on supply chains for seed, chips and connectivity. This page sets out how agricultural innovation is evaluated, which safeguards govern it, and who decides whether and how it is used.
Agritech and innovation on the record.
Agritech and innovation: how the risk develops.
Precision agriculture, biotechnology and technology safeguards. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Adoption decides impact
A technology changes outcomes only where farmers can afford, reach and trust it. Credit, extension, connectivity, tenure and risk all filter adoption, so gains in the laboratory rarely carry over in full to the field.
Breeding races a moving target
New varieties take years to develop and release while pests, pathogens and climates shift. Seed systems that replace varieties slowly leave farmers growing cultivars bred for conditions that no longer hold.
Uniformity concentrates risk
Widely grown single varieties, a few input suppliers or one dominant digital platform create common points of failure. A new pathogen race, a supplier outage or a data breach can affect many farms at once.
Safeguards shape trust and trade
Biosafety assessment, residue limits, data governance and intellectual property rules decide what may be grown, sold and exported. Divergent national rules can block trade in products approved elsewhere.
Crop and harvest monitor.
The screen a team would use to follow this subject: its measures, states and decisions. Names are examples and values are illustrative.
Crop and harvest monitor
Agritech and innovation · Main season · Crop stage: grain fill
Crop calendar
- Land preparationdone
- Plantingdone
- Emergencedone
- Vegetativedone
- Grain fillnow
- Harvestnext
- Post-harvest
Vegetation index, season to date
Yield outlook by zone
| Highland zone | 2.0 | ▼ 5 | Medium |
| Coastal plain | 2.6 | ▲ 4 | Medium |
| Region North | 1.2 | ▼ 21 | Low |
| Region South | 1.9 | ▼ 14 | Medium |
Field assessment plots
red: crop stress observed
Agricultural technology changes exposure in other domains too.
| Domain | How it couples here | What to watch |
|---|---|---|
| Water | Precision irrigation can save water per hectare yet expand irrigated area, so basin use may rise. | Basin abstraction before and after adoption |
| Energy | Automation and digital services add electricity and connectivity dependence on farms. | Farm dependence on grid and network services |
| Health | New crop varieties and biological products need biosafety assessment under the Cartagena Protocol. | Biosafety decisions recorded in the Biosafety Clearing-House |
| Biodiversity | Uniform varieties narrow genetic diversity; gene banks under the Plant Treaty conserve it. See nature data and rights. | Varietal diversity in farmers’ fields |
FAO’s State of Food and Agriculture 2022 examined automation and found adoption highly uneven, with benefits depending on scale, skills and connectivity; smallholders face the highest barriers.
How agritech and innovation is modelled, measured and tested.
The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.
System model
The couplings between the systems in agritech and innovation: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.
Assessing agritech, and where results go.
Technology assessments in agriculture are designed for the Exponential Technology series and, where tested in controlled trials, the Labs Evidence series. The Global Centre for Risk and Innovation (GCRI) recommends no product; it publishes what was tested and found. Trial designs and results, including failures, are the most useful contributions.
What is measured, and how well.
Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.
| Indicator | Unit | Cadence | Source type | Label |
|---|---|---|---|---|
| Area under improved varieties | hectares by variety and release year | seasonal | Adoption surveys, DNA fingerprinting | ESTIMATED |
| Varietal turnover | area-weighted average age of varieties, years | per survey | Adoption surveys | ESTIMATED |
| Public agricultural research spending | share of agricultural GDP | annual | Agricultural Science and Technology Indicators | Published statistics |
| Approvals of biotech crops and traits | count by country, crop and trait | annual | Regulatory databases | Published statistics |
| Plant genetic resources in medium or long-term conservation (SDG 2.5.1) | number of accessions | annual | Genebank reporting | Published statistics |
| Farm households using digital advisory or market services | percent of farm households | per survey | Agricultural and household surveys | REPORTED |
| Area under precision management | hectares under variable-rate or sensor-guided application | annual | Industry and survey data | REPORTED |
Where the evidence comes from.
Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.
| Source | What it gives | Licence class |
|---|---|---|
| Agricultural Science and Technology Indicators (IFPRI) | Public agricultural research spending and staffing by country | Free and open, attribution |
| FAO WIEWS | Conservation and use of plant genetic resources by country | Free, attribution |
| Genesys (Crop Trust) | Passport data on genebank accessions worldwide | Free and open, attribution |
| Biosafety Clearing-House (Cartagena Protocol) | National decisions, risk assessments and laws on living modified organisms | Public records |
| CGIAR GARDIAN and centre data repositories | Trial, breeding and adoption datasets from CGIAR centres | Mostly free and open, terms per dataset |
| WIPO PATENTSCOPE and UPOV PLUTO | Patent and plant variety protection records | Free, terms per database |
Who decides, and what the evidence serves.
Food Nexus prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.
| Who decides | The question | Evidence this page serves |
|---|---|---|
| National agricultural research systems and seed regulators | Which varieties to release, and how to speed their replacement in farmers’ fields | Multi-site trial results, adoption surveys and variety age by region |
| Biosafety authorities and food safety regulators | Whether a new organism, product or input is safe to release or sell, and under what conditions | Risk assessments under the Cartagena Protocol and Codex guidance, with data gaps stated |
| Agriculture ministries and development banks | Which innovations to support with extension, credit or subsidy, and for whom | Adoption constraints, impact evaluations and distributional effects by farm type |
| Data protection and competition authorities | How farm data are owned, shared and protected, and whether input and platform markets stay contestable | Market concentration and data governance evidence |
Outputs this topic produces
- Innovation and adoption maps by crop, region and farm type
- Dependency maps for seed, input and digital service supply
- Evaluation designs for new technologies with field conditions stated
- Comparisons of national biosafety and farm data rules
What experts ask.
Innovation is often presented as the answer to food-system risk, and sometimes it is. But a technology that works on a research station may not work on a smallholding, and a tool that concentrates data or seed supply in a few hands can create new single points of failure. Experts ask for evidence of benefit under real conditions and look at who carries the new risks.
- Which technologies have shown benefits under real farm conditions, for which producers and at what cost?
- How do digital agriculture tools handle data ownership, consent and dependence on a few providers?
- What biosafety and biosecurity questions do new breeding and biological technologies raise, and how are they assessed?
- Who is left out when technologies need capital, connectivity or skills that many producers lack?
Drivers and processes.
Innovation changes both the benefits and the risk profile of food production.
Data-driven management
Variable-rate inputs, sensors and remote sensing target water and nutrients more precisely, but depend on connectivity and accurate calibration.
Breeding and biologicals
Drought-tolerant and disease-resistant varieties and biological pest control can reduce losses. Their assessment draws on biotechnology platforms.
Dependency and access
Proprietary platforms, seed systems and digital services can concentrate control and leave producers exposed if a provider fails.
How the evidence is built, and its limits.
- 01
Field trials
Controlled trials show agronomic performance; results from research stations may overstate on-farm gains.
- 02
Adoption studies
Surveys and impact evaluations show who adopts and benefits. Selection effects make causal claims hard.
- 03
Risk assessment
Biosafety and environmental assessments follow national regulatory procedures, which differ between jurisdictions.
- 04
Technology foresight
Scenarios explore how technologies might spread and interact. They are explorations, not predictions.
How it is studied, and what the methods cannot say.
- 01Biotechnology platformsBreeding for stress tolerance · Rapid diagnostics for pests and diseaseApplied here
- 02Agricultural, soil and food scienceCrop simulation for seasonal yield risk · Yield gap and nutrient limitation analysisApplied here
- 03EconometricsPrice transmission and market integration · Effects of trade policyApplied here
- 04Earth observation and remote sensingCrop condition monitoring · Crop type and area mapping · Irrigation and water productivityApplied here
- 05Ecology and biodiversity sciencePollination and natural pest control · Fisheries and aquatic food websApplied here
Where this page’s references lead.
The bodies and documents this page is read against. Status and editions change; each link goes to the issuing body.
Questions and answers.
Is precision agriculture only for large farms?
How are genetically modified crops regulated?
Why does genetic diversity matter for food security?
Does Food Nexus endorse technologies or products?
Are gene-edited crops in scope?
How are farm data protected in platform research?
Can technology replace good soil and water management?
Contribute evidence from this page.
Reports is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
- EmailGateway GW-GCRISend it from this pageEvidence, a correction, a case, a method, a review, a translation or profile input. It arrives tagged with this page, so the editor who owns it receives it.
- ZenodoOpen depositDeposit it and submit to the communityPublish your own record on Zenodo with your ORCID iD, then submit it to the Reports community there. Curators review it; the DOI stays yours.
- ReportsGCRISee every way to contributeThe contribution types, how each is reviewed, what credit you receive, the licence and what is never accepted.
Never send personal data, sensitive infrastructure detail or anything you have no right to share. A contribution is reviewed before use; sending it confers no authorship or editorial rights, and sponsorship never buys a finding.
Bring a method, a dataset or a question.
Information and enquiries are open today. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.
Legal documents.
Maps, data and figures on this site are shown for context and general information. They are not advice, forecasts or warnings; the limits of the information are set out in the Disclaimers and Data Notices.