Recent advances in automatic feature detection and classification of fruits including with a special emphasis on Watermelon (Citrillus lanatus): A review

D Caceres-Hernandez, R Gutierrez, K Kung… - Neurocomputing, 2023 - Elsevier
This document provides an overview of advances in the task of automatic feature detection
and classification of fruits, with and special interest in watermelon (Citrillus lanatus). The …

The applications of network analysis in fruit ripening

CC Wee, VK Subbiah, M Arita, HH Goh - Scientia Horticulturae, 2023 - Elsevier
Fruit ripening is a complex process that involves the coordination of genes, hormones, and
environmental factors. Understanding the mechanism of fruit ripening is important to improve …

Computer vision and machine learning analysis of commercial rice grains: A potential digital approach for consumer perception studies

A Aznan, C Gonzalez Viejo, A Pang, S Fuentes - Sensors, 2021 - mdpi.com
Rice quality assessment is essential for meeting high-quality standards and consumer
demands. However, challenges remain in developing cost-effective and rapid techniques to …

Characterisation of pineapple cultivars under different storage conditions using infrared thermal imaging coupled with machine learning algorithms

M Mohd Ali, N Hashim, S Abd Aziz, O Lasekan - Agriculture, 2022 - mdpi.com
The non-invasive ability of infrared thermal imaging has gained interest in various food
classification and recognition tasks. In this work, infrared thermal imaging was used to …

Towards a real-time oil palm fruit maturity system using supervised classifiers based on feature analysis

MSM Alfatni, S Khairunniza-Bejo, MHB Marhaban… - Agriculture, 2022 - mdpi.com
Remote sensing sensors-based image processing techniques have been widely applied in
non-destructive quality inspection systems of agricultural crops. Image processing and …

[HTML][HTML] Advancements in machine visions for fruit sorting and grading: A bibliometric analysis, systematic review, and future research directions

BO Olorunfemi, NI Nwulu, OA Adebo… - Journal of Agriculture and …, 2024 - Elsevier
This research conducted a bibliometric analysis of scholarly literature on fruit sorting and
grading using machine vision, identifying primary themes, sources, most-cited publications …

Computer vision applied to food and agricultural products

JA Fracarolli, FFA Pavarin, W Castro… - Revista Ciência …, 2020 - SciELO Brasil
Computer vision (CV) has been applied for years to automate many human activities. It is
one of the key technologies for the modernization of the agri-food industry towards the fourth …

An efficient ANFIS based pre-harvest ripeness estimation technique for fruits

S Kaur, S Randhawa, A Malhi - Multimedia Tools and Applications, 2021 - Springer
The ripeness estimation of fruits plays a significant role in marketing and evaluation of
quality. However, due to the subjectivity and slow speed in the case of manual assessment …

[PDF][PDF] A robust 4.0 dual-classifier for determining the internal condition of watermelons using YOLOv4-tiny and sensory

KA Adeniji, MO Onibonoje, A Minevesho… - Indonesian Journal of …, 2022 - academia.edu
This study presents a robust internet of things (IoT) based approach to solve the challenge of
sorting fruit (watermelons) either as a raw material or final product in fruit manufacturing …

Colour feature extraction techniques for real time system of oil palm fresh fruit bunch maturity grading

MSM Alfatni, ARM Shariff, OMB Saaed… - … Series: Earth and …, 2020 - iopscience.iop.org
According to the natural ripeness phenomena of oil palm fruit, the oil palm fresh fruit bunch
(FFB) ripeness is divided into three different categories called, under ripe, ripe, and overripe …