[HTML][HTML] Non-destructive banana ripeness detection using shallow and deep learning: A systematic review

P Baglat, A Hayat, F Mendonca, A Gupta, SS Mostafa… - Sensors, 2023 - mdpi.com
The ripeness of bananas is the most significant factor affecting nutrient composition and
demand. Conventionally, cutting and ripeness analysis requires expert knowledge and …

New trends in the development and application of artificial intelligence in food processing

R Barthwal, D Kathuria, S Joshi, RSS Kaler… - Innovative Food Science …, 2024 - Elsevier
Food plays a significant role in human existence. It is necessary to reduce food wastage,
and enhance both food management and safety protocols. The growing prevalence and …

Effect of edible coating with Morus alba root extract and carboxymethyl cellulose for enhancing the quality and preventing the browning of banana (Musa acuminata …

J Kim, JY Choi, J Kim, KD Moon - Food Packaging and Shelf Life, 2022 - Elsevier
This study aimed to develop an edible coating to extend the shelf life of bananas and
increase their consumption. Bananas were coated with coating materials containing 1.5 …

Prediction of banana quality indices from color features using support vector regression

A Sanaeifar, A Bakhshipour, M De La Guardia - Talanta, 2016 - Elsevier
Banana undergoes significant quality indices and color transformations during shelf-life
process, which in turn affect important chemical and physical characteristics for the …

Biodegradable edible films of ripe banana peel and starch enriched with extract of Eriobotrya japonica leaves

VDM Silva, MCC Macedo, CG Rodrigues… - Food bioscience, 2020 - Elsevier
The incorporation of additives in films has been used to improve their characteristics. In this
study, the 50% ethanol extract of E. japonica Lindl. leaves was added at 2 and 4%(w/w) to …

Visually suboptimal bananas: How ripeness affects consumer expectation and perception

C Symmank, S Zahn, H Rohm - Appetite, 2018 - Elsevier
One reason for the significant amount of food that is wasted in developed countries is that
consumers often expect visually suboptimal food as being less palatable. Using bananas as …

Determination of banana quality indices during the ripening process at different temperatures using smartphone images and an artificial neural network

BH Cho, S Koseki - Scientia Horticulturae, 2021 - Elsevier
Banana quality and ripening stages were studied at four different temperatures (20, 25, 27.5,
and 30° C) using a smartphone camera and an artificial neural network (ANN). Changes in …

[HTML][HTML] Estimation of chlorophyll content in banana during shelf life using LiDAR laser scanner

KK Saha, M Zude-Sasse - Postharvest Biology and Technology, 2022 - Elsevier
Non-destructive sensing of fruit chlorophyll appears feasible using spectroscopy in the
visible wavelength range. However, in postharvest application, measurements should even …

Image-based processing for ripeness classification of oil palm fruit

A Septiarini, H Hamdani, HR Hatta… - 2019 5th International …, 2019 - ieeexplore.ieee.org
Palm fruit is the result of agriculture products that processed into vegetable oil. Nowadays,
there are many daily necessities are produced from palm fruit which cause demand for palm …

[HTML][HTML] Deep indicator for fine-grained classification of banana's ripening stages

Y Zhang, J Lian, M Fan, Y Zheng - EURASIP Journal on Image and Video …, 2018 - Springer
Determining banana's ripening stages is becoming an essential requirement for
standardizing the quality of commercial bananas. In this paper, we propose a novel …