ChileAgriculture and food production2026 – ongoingARAUCO (Empresas Copec)
Calidad de Cosecha drone imagery and deep learning
ARAUCO's parent reported wood losses fell from 3% to 1% with AI harvest inspection
Problem
ARAUCO relied on visual assessments to evaluate wood left in harvested areas. It needed more consistent estimates of timber volumes and losses.
Approach
ARAUCO used drone imagery and deep-learning models in its Calidad de Cosecha project. The system identified pieces of wood on the ground and estimated their volumes to quantify losses.
Results
Takeaway
Image analysis replaced visual assessments with quantified harvest-loss estimates. Empresas Copec reported lower losses without specifying the comparison period.
Categories
- Size
- Large enterprise
- Industry
- Agriculture and food production
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer vision
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Empresas Copec described its subsidiary's drone and deep-learning system for harvest inspection. It reported wood losses falling from 3% to 1% and monthly monitoring capacity of about 950 hectares.
Full details are in the original sources.
