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Standard operating procedure for image capture in sweetpotato and potato, and sensory attribute prediction. Work package 3

Nakatumba-Nabende Joyce, Katumba Andrew, Murindanyi Sudi, Nabiryo Ann Lisa, Babirye Claire, Tusubira Jeremy Francis, Mutegeki Henry, Nantongo Judith Ssali, Sserunkuma Edwin, Ssali Reuben, Meghar Karima, Davrieux Fabrice. 2023. Standard operating procedure for image capture in sweetpotato and potato, and sensory attribute prediction. Work package 3. Kampala : RTBfoods Project-CIRAD, 18 p.

Document technique et de recherche
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RTBfoods_SOP_DigiEye image capture_Sweetpotato & potato.pdf

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Résumé : The applications of computer vision technology for acquiring and analysing images have been extended to the evaluation of important crop traits for enhancing breeding programmes. Imaging technology is a fast, non-destructive high-throughput phenotyping tool that has been used widely for accurate acquisition of crop traits on a large scale. A variety of imaging sensors are currently used in research and commercial practices to quantify complex crop traits for breeders. The DigiEye (DigiEye System, VeriVide Ltd., Leicester, UK) provides color and appearance measurement and assessment that captures both the colour and product texture. Color and appearance are closely related to the chemical composition and sensory properties of food. The SOP highlights the procedure of digieye image capture in sweetpotato and potato, as well as color and mealiness prediction. The aim is to give a step-by-step process for easy replication of the activities.

Mots-clés libres : Image analysis, Color, Mealiness, Sweetpotato, Potato, DigiEye, Phenotyping tool

Agences de financement hors UE : Bill and Melinda Gates Foundation, Centre de Coopération Internationale en Recherche Agronomique pour le Développement, Centro Internacional de Agricultura Tropical, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, James Hutton Institute

Projets sur financement : (FRA) Breeding RTB Products for End User Preferences

Auteurs et affiliations

  • Nakatumba-Nabende Joyce, Makerere University (UGA)
  • Katumba Andrew, Makerere University (UGA)
  • Murindanyi Sudi, Makerere University (UGA)
  • Nabiryo Ann Lisa, Makerere University (UGA)
  • Babirye Claire, Makerere University (UGA)
  • Tusubira Jeremy Francis, Makerere University (UGA)
  • Mutegeki Henry, Makerere University (UGA)
  • Nantongo Judith Ssali, CIP (UGA)
  • Sserunkuma Edwin, CIP (UGA)
  • Ssali Reuben, CIP (UGA)

Contributeurs et affiliations

  • Meghar Karima, CIRAD-PERSYST-UMR Qualisud (FRA) - collaborateur
  • Davrieux Fabrice, CIRAD-PERSYST-UMR Qualisud (REU) - collaborateur

Source : Cirad-Agritrop (https://agritrop.cirad.fr/603482/)

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