Non-destructive and contactless estimation of chlorophyll and ammonia contents in packaged fresh-cut rocket leaves by a Computer Vision System-Reference-Cited by-同舟云学术

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Non-destructive and contactless estimation of chlorophyll and ammonia contents in packaged fresh-cut rocket leaves by a Computer Vision System

Published:2022-07 Issue: Volume:189 Page:111910
ISSN:0925-5214
Container-title:Postharvest Biology and Technology
language:en
Short-container-title:Postharvest Biology and Technology

Author:

Palumbo Michela,Pace Bernardo,Cefola Maria,Montesano Francesco Fabiano,Colelli Giancarlo,Attolico Giovanni

Publisher

Elsevier BV

Subject

Horticulture,Agronomy and Crop Science,Food Science

Reference51 articles.

1. Assessment of spinach seedling health status and chlorophyll content by multivariate data analysis and multiple linear regression of leaf image features;Agarwal;Comput. Electron. Agric.,2018

2. Ammonia accumulation in plant tissues: a potentially useful indicator of postharvest physiological stress;Amodio;Acta Hortic.,2018

3. Use of a digital camera as alternative method for non-destructive detection of the leaf chlorophyll content and the nitrogen nutrition status in wheat;Baresel;Comput. Electron. Agric.,2017

4. Nutritional, biophysical and physiological characteristics of wild rocket genotypes as affected by soilless cultivation system, salinity level of nutrient solution and growing period;Bonasia;Front. Plant Sci.,2017

5. Bagging predictors;Breiman;Mach. Learn.,1996

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel random forest-based approach for the non-destructive and explainable estimation of ammonia and chlorophyll in fresh-cut rocket leaves;Information Processing in Agriculture;2024-09

2. Machine learning for the identification of colour cues to estimate quality parameters of rocket leaves;Journal of Food Engineering;2024-04

3. Reduced Fertilization to Improve Sustainable Use of Resources and Preserve Postharvest Quality of Fresh-Cut Wild Rocket (Diplotaxis tenuifolia L.) in Soil-Bound and Soilless Cultivation;Plants;2024-02-10

4. Improving the Robustness to Color Perturbations of Classification and Regression Models in the Visual Evaluation of Fruits and Vegetables;Lecture Notes in Computer Science;2024

5. Implementation of information and communication technologies in fruit and vegetable supply chain: a systematic literature review;Industrial Management & Data Systems;2023-08-08

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