Baseline
Document the current machine, labour, timing, inputs and outcomes.
Reading method · 04
Compare autonomous work with the actual alternative using agronomic, safety, labour, environmental and economic denominators.
FUURAA thesis
Engineering map
Each layer states the boundary to establish and the evidence needed for the next decision.
Document the current machine, labour, timing, inputs and outcomes.
Use harvested unit, treated plant, saleable yield or completed operation.
Report variation across fields, seasons, farm sizes and operator groups.
Verification questions
Each question needs an object, conditions, denominator, threshold and accountable decision owner.
What real practice is the comparator?
Are quality, damage and rework counted?
Are fixed and support costs allocated to useful output?
Who gains or bears new work and risk?
Evidence to preserve
A conclusion alone loses reviewability; raw records, configuration and exclusions matter too.
Predefined baseline and metric dictionary
Outcome dataset with useful denominators
Sensitivity and distribution analysis
Scope boundary
A percentage improvement without baseline method, denominator and confidence interval is not decision-grade evidence.
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
Source dates and review status remain visible; external sources open in a new tab.
Assesses productivity, resilience, sustainability, labour, access and inequality across automation technologies and farming contexts.
Connects standardised metadata, automated deployment, stakeholder design and field research tools such as autonomous crop-imaging platforms.
Sets public-service, application-expansion and demonstration actions while emphasising standards, data, services and practical adoption.