Spectroscopy and computer vision techniques for noninvasive analysis of legumes: A review

Ma, Shaojin; Li, Yongyu; Peng, Yankun

doi:10.1016/j.compag.2023.107695

Cited by 12 publications

(3 citation statements)

References 105 publications

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“…In agriculture, [70] present that computer vision techniques are fast and noninvasive analysis tools that can be used to monitor the quality, from planting to storage, of vegetables. While [71] developed a system based on computer vision for monitoring the quality and controlling the food drying process, more specifically, in the case of carrot slices.…”

Section: Computer Visionmentioning

confidence: 99%

Proposal of Simultaneous Localization and Mapping for Mobile Robots Indoor Environments Using Petri Nets and Computer Vision

Mota,

Batista,

Alexandria

2024

Preprint

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Studies in the area of mobile robotics have advanced in recent years, mainly due to the evolution of technology and the growing need for automated and dynamic solutions in sectors such as industry, transport and agriculture. These devices are complex and the ideal method for localizing, mapping and navigating autonomous mobile robots changes depending on the application. Thus, the general objective of this work is to propose a simultaneous localization and mapping method for autonomous mobile robots in indoor environments, using Computer Vision (CV) and Petri Net (PN). A landmark was placed next to each door in the analyzed region and images were acquired as the rooms in the environment were explored. The algorithm processes the images to count and identify the doors. A transition is created in the PN for each door found and the rooms connected by these doors are represented by the places in the PN. Then, one of the doors is crossed, new images are obtained and the process is repeated until all rooms are explored. The algorithm generates an PN, which can be represented by an image file (.png) and a file with the extension .pnml. The results compare the layout of four environments with the respective generated PNs. Furthermore, six evaluation criteria are proposed for validating Petri nets as a topological map of environments. It is concluded that using PN for this purpose presents originality and potential innovation, being a SLAM technique for indoor environments, which demands low computational cost.

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Section: Computer Visionmentioning

confidence: 99%

Proposal of Simultaneous Localization and Mapping for Mobile Robots Indoor Environments Using Petri Nets and Computer Vision

Mota,

Batista,

Alexandria

2024

Preprint

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“…The basic components of a NIR spectrometer are: a light source, beam-splitter system, sample container, detector for intensity detection and the electrical conversion of light, and a data processing system for spectral data [46]. In food analysis, a halogen (tungsten) light source is usually employed for Vis-NIR systems, due to its wide-emitting spectral range [27]. Different optical geometries are available for NIR spectroscopy; the main difference is the placement of the detectors and the sample holder for different spectral modes of acquisition.…”

Section: Near-infrared (Nir) Spectroscopymentioning

confidence: 99%

“…These spectroscopic techniques have been applied to the combined determination of food composition, textural features, and food preferences, presented as promising tools to model food-human interactions [26]. Several reviews addressing the prediction of quality-related properties have been published in recent years, focusing on one specific beverage or food [25,27,28] or on a collection of fresh [26,29,30] or processed [31][32][33] commodities. Some reviews focused only on quality and safety [34][35][36][37]; others included sensory analysis but only of specific foods [38][39][40].…”

Section: Introductionmentioning

confidence: 99%

Spectroscopy, a Tool for the Non-Destructive Sensory Analysis of Plant-Based Foods and Beverages: A Comprehensive Review

Basile,

Mallardi,

Cardone

2023

Chemosensors

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In recent years, there has been a significant rise in the popularity of plant-based products due to various reasons, such as ethical concerns, environmental sustainability, and health benefits. Sensory analysis is a powerful tool for evaluating the human appreciation of food and drink products. To link the sensory evaluation to the chemical and textural compositions, further quantitative analyses are required. Unfortunately, due to the destructive nature of sensory analysis techniques, quantitative evaluation can only be performed on samples that are different from those ingested. The quantitative knowledge of the analytical parameters of the exact sample ingested would be far more informative. Coupling non-destructive techniques, such as near-infrared (NIR) and hyperspectral imaging (HSI) spectroscopy, to sensory evaluation presents several advantages. The intact sample can be analyzed before ingestion, providing in a short amount of time matrices of quantitative data of several parameters at once. In this review, NIR and imaging-based techniques coupled with chemometrics based on artificial intelligence and machine learning for sensory evaluation are documented. To date, no review article covering the application of these non-destructive techniques to sensory analysis following a reproducible protocol has been published. This paper provides an objective and comprehensive overview of the current applications of spectroscopic and sensory analyses based on the state-of-the-art literature from 2000 to 2023.

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Proposal of simultaneous localization and mapping for mobile robots indoor environments using Petri nets and computer vision

Mota,

Batista,

Alexandria

2024

Int J Adv Manuf Technol

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Spectroscopy and computer vision techniques for noninvasive analysis of legumes: A review

Cited by 12 publications

References 105 publications

Proposal of Simultaneous Localization and Mapping for Mobile Robots Indoor Environments Using Petri Nets and Computer Vision

Proposal of Simultaneous Localization and Mapping for Mobile Robots Indoor Environments Using Petri Nets and Computer Vision

Spectroscopy, a Tool for the Non-Destructive Sensory Analysis of Plant-Based Foods and Beverages: A Comprehensive Review

Proposal of simultaneous localization and mapping for mobile robots indoor environments using Petri nets and computer vision

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