Primary outcome
Predefine the crop or soil result that matters most.
Deployment evaluation · 13
Agronomic outcome
Measure yield, saleable quality, crop damage, treatment efficacy, input use, soil effects and timeliness.
Evidence statusField evidence framework · crop, season, site and operating-envelope validation requiredLast reviewed: 16 August 2026
13
FUURAA thesis
The robot succeeds only when the biological production system improves without unacceptable shifted harm.
Engineering map
Turn the title into engineering objects that can be observed, measured and reviewed.
Each layer states the boundary to establish and the evidence needed for the next decision.
Trade-offs
Measure quality, damage, inputs, emissions, compaction and labour.
Follow-up
Observe effects at the biologically relevant later time.
Verification questions
Write the questions first, then decide whether a demo, test, pilot or operating record can answer them.
Each question needs an object, conditions, denominator, threshold and accountable decision owner.
- 01
Was the primary outcome defined before testing?
- 02
Is the comparator current practice?
- 03
Are delayed damage and retreatment captured?
- 04
Do results repeat across blocks and seasons?
Evidence to preserve
Enable the next reader to reconstruct conditions, results, failures and the decision.
A conclusion alone loses reviewability; raw records, configuration and exclusions matter too.
- 01
Evidence package 1
Pre-registered outcome and analysis plan
- 02
Evidence package 2
Crop, soil, input and labour dataset
- 03
Evidence package 3
Seasonal follow-up and uncertainty
Scope boundary
State what this evidence still cannot be generalised to.
- 01
Hectares covered, objects detected or hours operated are not substitutes for agronomic outcomes.
- 02
This is an engineering reading and decision framework; it does not replace application-specific risk assessment, conformity work, procurement acceptance or professional advice.
Sources and evidence status
Read standards scope, measurement evidence and application conclusions separately.
Source dates and review status remain visible; external sources open in a new tab.
01
Food and Agriculture Organization of the United Nations · Published 2022-11-02
↗02The State of Food and Agriculture 2022 — Leveraging automation
Assesses productivity, resilience, sustainability, labour, access and inequality across automation technologies and farming contexts.
USDA Agricultural Research Service · Programme page verified 2026-08-16
↗03Digital Agriculture Systems Hub (DASH)
Connects standardised metadata, automated deployment, stakeholder design and field research tools such as autonomous crop-imaging platforms.
China Ministry of Agriculture and Rural Affairs · Policy interpretation published 2024-10-28
↗National Smart Agriculture Action Plan (2024–2028)
Sets public-service, application-expansion and demonstration actions while emphasising standards, data, services and practical adoption.