Find
Measure visible and occluded crop by maturity and canopy condition.
Real-work map · 11
Harvesting
Test maturity estimation, occlusion, reach, detachment, gentle handling, field logistics and post-harvest quality together.
Evidence statusField evidence framework · crop, season, site and operating-envelope validation requiredLast reviewed: 16 August 2026
11
FUURAA thesis
Pick rate is incomplete without the share of marketable crop recovered at acceptable damage and labour cost.
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.
Handle
Track successful detachment, damage, drops, contamination and cycle.
Move
Include bin exchange, transport, cooling and quality handoff.
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
What portion of marketable crop is recovered?
- 02
How does canopy or cultivar variation affect success?
- 03
Are bruising and latent defects measured later?
- 04
Which human tasks remain in the harvest chain?
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
Marketable-crop denominator
- 02
Evidence package 2
Damage, loss and cycle-time distribution
- 03
Evidence package 3
Post-harvest quality and labour record
Scope boundary
State what this evidence still cannot be generalised to.
- 01
A selected-row demonstration cannot establish commercial harvest capacity across canopy, cultivar and maturity variation.
- 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
USDA Agricultural Research Service · Programme page verified 2026-08-16
↗02Digital Agriculture Systems Hub (DASH)
Connects standardised metadata, automated deployment, stakeholder design and field research tools such as autonomous crop-imaging platforms.
Food and Agriculture Organization of the United Nations · Published 2022-11-02
↗03The State of Food and Agriculture 2022 — Leveraging automation
Assesses productivity, resilience, sustainability, labour, access and inequality across automation technologies and farming contexts.
China Ministry of Agriculture and Rural Affairs · Published 2026-04-20
↗Call for representative AI + Agriculture application scenarios
Prioritises narrow, deeply applied, replicable scenarios across agricultural research, production, operations and public services.