A novel random forest-based approach for the non-destructive and explainable estimation of ammonia and chlorophyll in fresh-cut rocket leaves

Author:

Polimena Stefano,Pio GianvitoORCID,Cefola Maria,Palumbo Michela,Ceci MichelangeloORCID,Attolico GiovanniORCID

Funder

Ministero dell'Istruzione dell'Università e della Ricerca

Publisher

Elsevier BV

Reference28 articles.

1. Fruits and vegetables quality evaluation using computer vision: A review;Bhargava;J King Saud Univ Comput Inf Sci,2021

2. An intelligent computer vision system for vegetables and fruits quality inspection using soft computing techniques;Narendra;Agric Eng Int CIGR J,2019

3. Consumer segmentation based on food-category attribute importance: The relation with healthiness and sustainability perceptions;Verain;Food Qual Pref,2016

4. Potential of nir spectroscopy for predicting internal quality and discriminating among strawberry fruits from different production systems;Amodio;Postharvest Biol Technol,2017

5. Feasibility study for the surface prediction and mapping of phytonutrients in minimally processed rocket leaves (diplotaxis tenuifolia) during storage by hyperspectral imaging;Chaudhry;Comput Electron Agric,2020

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