Review
Agronomy
Abdul Momin, Naoshi Kondo, Dimas Firmanda Al Riza, Yuichi Ogawa, David Obenland
Summary: Optical imaging techniques are extensively used to sort agricultural products based on various quality parameters. This article specifically focuses on the potential of fluorescence imaging for non-destructive assessment of agricultural product quality attributes. It discusses the concepts, methodology, and potential applications of fluorescence imaging, with a showcase example of detecting peel defects in citrus. Future investigation areas for fluorescence imaging applications in agricultural product quality assessment are also outlined.
Article
Computer Science, Artificial Intelligence
Poria Pirozmand, Kimia Rezaei Kalantari, Ali Ebrahimnejad, Homayun Motameni
Summary: This study aims to identify the importance of each feature according to user's opinion in every feedback stage through weighted feature vector, rough theory and fuzzy logic, in order to achieve higher accuracy in image quality retrieval.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2021)
Article
Computer Science, Information Systems
Lili Zhu, Petros Spachos
Summary: Food quality and safety are crucial for human health and social stability. This study proposed a mobile visual system to grade bananas, achieving high accuracy rates in the grading process. The complex process of ensuring food quality involves all stages from cultivation to consumption.
INTERNET OF THINGS
(2021)
Review
Food Science & Technology
Hanieh Amani, Katalin Badak-Kerti, Amin Mousavi Khaneghah
Summary: The smartphone has gained attention in food quality assessment due to its high-resolution cameras and programmability. It shows potential as a nondestructive technique for quality control, but challenges in implementation and industrialization remain.
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2022)
Article
Agriculture, Multidisciplinary
Henry O. Velesaca, Patricia L. Suarez, Raul Mira, Angel D. Sappa
Summary: This manuscript provides a comprehensive survey of recent computer vision based food grain classification techniques, analyzing different processing stages and image types considered, as well as strategies for generating ground truth data. Conclusions on future needs and challenges are also presented.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Chemistry, Analytical
Paolo Brambilla, Chiara Conese, Davide Maria Fabris, Paolo Chiariotti, Marco Tarabini
Summary: Quality inspection in industrial production is benefiting from the combination of vision-based techniques and artificial intelligence algorithms. This paper discusses the defect identification problem for circularly symmetric mechanical components and compares the performances of a standard algorithm with a Deep Learning (DL) approach. The standard algorithm provides better results in terms of accuracy and computational time, but DL achieves high accuracy in identifying damaged teeth. The possibility of extending the methods and results to other circularly symmetrical components is also analyzed and discussed.
Article
Food Science & Technology
Lili Zhu, Petros Spachos, Erica Pensini, Konstantinos N. Plataniotis
Summary: The quality and safety of food is essential for human health and social stability. Machine vision, along with image processing incorporating machine learning and deep learning models, plays a crucial role in improving food processing efficiency and addressing issues related to food grading and defect detection. This paper presents an overview of traditional and deep learning methods in machine vision applied to food processing, discussing current approaches, challenges, and future trends.
CURRENT RESEARCH IN FOOD SCIENCE
(2021)
Article
Agronomy
Astrid Tempelaere, Bart De Ketelaere, Jiaqi He, Ioannis Kalfas, Michiel Pieters, Wouter Saeys, Remi Van Belleghem, Leen Van Doorselaer, Pieter Verboven, Bart M. Nicolai
Summary: This article introduces recent developments in artificial intelligence for extracting information on postharvest disorders from complex image data obtained by modern imaging systems. Machine vision inspection using RGB imaging and advanced techniques such as spectral cameras, X-ray, and MRI is increasingly used in the postharvest industry to nondestructively analyze disorders in horticultural products. However, challenges in the design of deep learning models, such as the need for large quantities of labeled data, model explainability, and generalizability, need to be addressed.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2023)
Article
Optics
Shaoyong Yu, Yang-Han Lee, Cheng-Wen Chen, Peng Gao, Zhigang Xu, Shunyi Chen, Cheng-Fu Yang
Summary: Various techniques were combined to optimize an optical inspection system for automatically detecting defects in manufactured paper bowls. A self-assembled system was used to capture images of defects, using an image sensor with a multi-pixel array and an infrared LED matrix panel. Enhancements such as Gaussian filtering, Sobel operators, binarization, and connected components were employed to improve defect inspections. The results showed that the machine vision system is an efficient method for inspecting defects in fabricated paper bowls.
Article
Computer Science, Interdisciplinary Applications
Marvin Nurit, Gaetan Le Goic, David Lewis, Yuly Castro, Abir Zendagui, Hermine Chatouxa, Hugues Favreliere, Stephane Maniglier, Pierre Jochum, Alamin Mansouri
Summary: RTI is a technique for estimating surface local angular reflectance from a set of stereo-photometric images. The coupling of HDR and RTI in HD-RTI results in improved relighting quality, especially for glossy and heterogeneous surfaces. This method significantly enhances the characterization of local angular reflectance and increases robustness for visual quality assessment tasks.
COMPUTERS IN INDUSTRY
(2021)
Article
Chemistry, Analytical
Marcin Malesa, Piotr Rajkiewicz
Summary: Product quality control is the leading trend in industrial production, with particular importance in the food and pharmaceutical industries. Machine vision cameras and advanced image processing techniques enable contactless control of many production processes, with deep neural networks showing fast performance and robustness.
Article
Chemistry, Multidisciplinary
Marvin Nurit, Gaetan Le Goic, Stephane Maniglier, Pierre Jochum, Alamin Mansouri
Summary: RTI technique allows for quantitative evaluation of visual properties of surfaces, providing important reference information.
APPLIED SCIENCES-BASEL
(2022)
Article
Agriculture, Multidisciplinary
Tim Van De Looverbosch, Jiaqi He, Astrid Tempelaere, Klaas Kelchtermans, Pieter Verboven, Tinne Tuytelaars, Jan Sijbers, Bart Nicolai
Summary: X-ray radiography has been investigated as a technique for internal quality inspection of pears in storage, with multiple deep anomaly detection methods showing effectiveness in detecting pears with internal cavity and browning disorders. The best performing methods were found to be on par with a state-of-the-art multisensor disorder detection method.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Automation & Control Systems
Xiaoqing Zheng, Song Zheng, Yaguang Kong, Jie Chen
Summary: This paper presents the latest advances in surface defect inspection using deep learning, focusing on industrial products in semiconductor, steel, and fabric manufacturing processes. The research provides literature reviews, traditional surface defect inspection algorithms, and applications of deep learning-based inspection algorithms.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Nuria Banus, Imma Boada, Anton Bardera, Pol Toldra
Summary: A computer vision system has been proposed to automatically perform 100% inline seal and closure inspection for pizza packages. The system utilizes line-scan technology and hyperspectral imaging for hardware, and a three-phase strategy with deep learning network for software to classify pizza packages automatically based on the sealing and closure conditions.
Review
Food Science & Technology
Shyam Narayan Jha, Pranita Jaiswal, Manpreet Kaur Grewal, Mansha Gupta, Rishi Bhardwaj
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
(2016)
Article
Chemistry, Applied
Pranita Jaiswal, Shyam Narayan Jha, Anjan Borah, Anuj Gautam, Manpreet Kaur Grewal, Gaurav Jindal
Article
Food Science & Technology
Rahul K. Anurag, M. Manjunatha, Shyam Narayan Jha, Leena Kumari
JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE
(2016)
Article
Agronomy
K. Narsaiah, Robin A. Wilson, K. Gokul, H. M. Mandge, S. N. Jha, Sheetal Bhadwal, Rahul K. Anurag, R. K. Malik, S. Vij
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2015)
Article
Food Science & Technology
Neelam Upadhyay, Pranita Jaiswal, Shyam Narayan Jha
JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE
(2016)
Article
Chemistry, Applied
Pranita Jaiswal, Shyam Narayan Jha, Jaspreet Kaur, Anjan Borah
Article
Food Science & Technology
Pranita Jaiswal, Shyam Narayan Jha, Jaspreet Kaur, Ramya Hg
INTERNATIONAL JOURNAL OF DAIRY TECHNOLOGY
(2018)
Article
Chemistry, Applied
Pranita Jaiswal, Shyam Narayan Jha, Jaspreet Kaur, Anjan Borah, H. G. Ramya
Article
Chemistry, Physical
Neelam Upadhyay, Pranita Jaiswal, Shyam Narayan Jha
JOURNAL OF MOLECULAR STRUCTURE
(2018)
Article
Engineering, Chemical
S. N. Jha, K. Narsaiah, P. Jaiswal, R. Bhardwaj, M. Gupta, R. Kumar, R. Sharma
JOURNAL OF FOOD ENGINEERING
(2014)
Article
Food Science & Technology
Manpreet Kaur Grewal, S. N. Jha, R. T. Patil, A. S. Dhatt, Amandeep Kaur, P. Jaiswal
JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE
(2015)
Article
Food Science & Technology
Manpreet Kaur Grewal, Pranita Jaiswal, S. N. Jha
JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE
(2015)
Article
Food Science & Technology
Mridula Devi, Kalyani Sharma, Shyam Narayan Jha, Simran Arora, Shadanan Patel, Yogesh Kumar, Rajesh Kumar Vishwakarma
JOURNAL OF FOOD PROCESSING AND PRESERVATION
(2020)
Article
Engineering, Chemical
Kalyani Sharma, Shadanan Patel, Shyam Narayan Jha, Mridula Devi, Rajesh Kumar Vishwakarma
Summary: This study developed a simple feeding system for discharging roasted makhana seeds of different sizes at consistent mass flow rates. By rotating the orifice plate placed at an off-center distance in the horizontal bottom, controlled flow rates can be sustained even with small aperture size. Mass flow rates increase with the increase in rotational rate, aperture size, and off-center distance.
JOURNAL OF FOOD ENGINEERING
(2021)
Article
Agronomy
Shyam Narayan Jha, Pranita Jaiswal, Leena Kumari, Jaspreet Kaur, H. G. Ramya, S. Lawnia
Summary: Patulin, a dangerous mycotoxin, is difficult to inactivate due to its stability to heat treatment. ATR-FTIR spectroscopy with chemometrics showed potential in detecting patulin in apple juice by modulating pH. The study successfully classified different levels of patulin using developed models and demonstrated effective discrimination between contaminated and uncontaminated juice samples.
AGRICULTURAL RESEARCH
(2021)