Avocados
  • Models available for ‘Hass’ and ‘Shepard’
  • Average prediction error within ± 4 days
  • Inputs include fruit maturity, harvest time and controlled atmosphere storage
  • Predicts chilling injury risk
  • Trained on >20,000 fruit over 3 years
  • Validated in 34 commercial supply chains
Avocados being assessed

Mangoes
  • Models for ‘Honey Gold’, ‘R2E2’, and ‘Kensington Pride’ varieties
  • Average prediction error within ± 3 days
  • Options for ethylene, VHT and irradiation
  • Trained on >14,000 fruit from 27 lab trials
  • Validated in 105 commercial supply chains
Mangoes being assessed

Stone Fruits
  • Models available for seven leading varieties
  • Average prediction error within ± 1–3 days
  • Option to predict internal disorder risk, firmness and soluble solids content
  • Trained on >11,000 fruit over 7 years
  • Validated in air and sea freight consignments
Stone fruit being assessed