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Use CaseManufacturing & Industrials / Agriculture

Manage agricultural production yield by resource optimisation

Increasing production yields through optimising system-long inputs from team, machine, supplier and customer requirements through machine learning.

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Revenue

Revenue - Product optimisation

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Operational Support

Operational Support - Issue triage

Description

Manage agricultural production yield by resource optimisation

Linked Case Studies

ICRISAT and Microsoft enable Indian farmers to achieve up to 30% higher yields at trial through machine learning advice on when to sow crops

Connecterra increases dairy production by as much as 30% by tracking and analysing the health of cows with machine learning

Chile''s Universidad Católica de la Santísima Concepción (UCSC)

Researchers from UCSC have pilot-tested an artificial intelligence irrigation system which may be able to save 70% more water than other irrigation methods.

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Source: kaggle.com · Editor: original-sdg