Explanipedia

Is AI overhyped? Open

Jason H. Moore, Anand Gavai, Yingji Xia, Mohammadamin Mahmanzar · 2025

In this People of Data, we asked five researchers, including three members of the journal's advisory board, whether they feel AI technologies are currently overhyped. Their responses reveal both optimism about the future impact of these te…

AI-Driven Personalized Nutrition for Metabolic Care: A Perspective on Equitable Digital Health Solutions Open

Anand Gavai · 2025

Metabolic diseases, including obesity and type 2 diabetes, pose a growing public health and economic burden worldwide. Conventional dietary guidelines often fail to address individual nutritional needs or to achieve adherence in resource-c…

The Role and Applications of Semantic Interoperability Tools and eXplainable AI in the Development of Smart Food Systems: Findings from a Systematic Literature Review Open

Donika Xhani, Gayane Sedrakyan, Anand Gavai, Renata Silva Souza, Jos van Hillegersberg · 2025

Smart food systems generate vast and diverse data across the supply chain, yet inconsistent data structures and limited interoperability hinder their full potential. Achieving semantic interoperability, where systems can exchange and inter…

AI-driven personalized nutrition: RAG-based digital health solution for obesity and type 2 diabetes Open

Anand Gavai, Jos van Hillegersberg · 2025

Effective management of obesity and type 2 diabetes is a major global public health challenge that requires evidence-based, scalable personalized nutrition solutions. Here, we present an artificial intelligence (AI) driven dietary recommen…

Agricultural Data Privacy: Emerging Platforms & Strategies Open

Anand Gavai · 2025

Background In today's world, grappling with the dual challenges of energy scarcity and climate change, the agricultural and food supply chains are at a crucial juncture for transformation. Data privacy within these sectors is increasingly …

Data driven food fraud vulnerability assessment using Bayesian Network: Spices supply chain Open

Yamine Bouzembrak, Ningjing Liu, Wenjuan Mu, Anand Gavai, Louise Manning , et al. · 2024

Recognizing the vulnerabilities that arise in the spices' supply chain for food fraud, determining which products and food fraud types to assess is crucial for ensuring food quality and food safety. In this study, we developed a data drive…

Citizen science data on urban forageable plants: a case study in Brazil Open

Filipi Miranda Soares, Luís Ferreira Pires, Maria Carolina Garcia, Lídio Coradin, Natalia Pirani Ghilardi‐Lopes , et al. · 2024

This paper presents two key data sets derived from the Pomar Urbano project. The first data set is a comprehensive catalog of edible fruit-bearing plant species, native or introduced to Brazil. The second data set, sourced from the iNatura…

Citizen Science Data on Urban Forageable Plants: A Case Study in Brazil Open

Filipi Miranda Soares, Luís Ferreira Pires, Maria Carolina Garcia, Lídio Coradin, Natalia Pirani Ghilardi‐Lopes , et al. · 2024

This paper presents two key data sets derived from the Pomar Urbano project. The first data set is a comprehensive catalog of edible fruit-bearing plant species, native or introduced in Brazil. The second data set, sourced from the iNatura…

Leveraging citizen science for monitoring urban forageable plants Open

Filipi Miranda Soares, Luís Ferreira Pires, Maria Carolina Garcia, Yamine Bouzembrak, Lídio Coradin , et al. · 2024

Urbanization brings forth social challenges in emerging countries such as Brazil, encompassing food scarcity, health deterioration, air pollution, and biodiversity loss. Despite this, urban areas like the city of São Paulo still boast ampl…

Privacy Preserving Data Platforms in Agriculture and Food Systems: Trends and Techniques Open

Anand Gavai · 2023

Background In today's world, grappling with the dual challenges of energy scarcity and climate change, the agricultural and food supply chains are at a crucial juncture for transformation. Data privacy within these sectors is increasingly …

Author Correction: Applying federated learning to combat food fraud in food supply chains Open

Anand Gavai, Yamine Bouzembrak, Wenjuan Mu, Frank Martin, Rajaram Kaliyaperumal , et al. · 2023

Applying federated learning to combat food fraud in food supply chains Open

Anand Gavai, Yamine Bouzembrak, Wenjuan Mu, Frank Martin, Rajaram Kaliyaperumal , et al. · 2023

Ensuring safe and healthy food is a big challenge due to the complexity of food supply chains and their vulnerability to many internal and external factors, including food fraud. Recent research has shown that Artificial Intelligence (AI) …

Food fraud detection using explainable artificial intelligence Open

Okan Buyuktepe, Cagatay Catal, Gorkem Kar, Yamine Bouzembrak, H.J.P. Marvin , et al. · 2023

Recently, the global food supply chain has become increasingly complex, and its scalability has grown. From farm to fork, the performance of food‐producing systems is influenced by significant changes in the environment, population and eco…

A federated learning approach to data sharing in a food supply chain Open

Anand Gavai, Yamine Bouzembrak, Wenjuan Mu, Frank Martin, Rajaram Kaliyaperumal , et al. · 2022

Ensuring safe and healthy food is a big challenge due to the complexity of food supply chains and their vulnerability to many internal and external factors. Recent research has shown that Artificial Intelligence (AI) based algorithms, in p…

Global media as an early warning tool for food fraud; an assessment of MedISys-FF Open

H.J.P. Marvin, Wouter Hoenderdaal, Anand Gavai, Wenjuan Mu, Leonieke M. van den Bulk , et al. · 2022

Automated food safety early warning system in the dairy supply chain using machine learning Open

Ningjing Liu, Yamine Bouzembrak, Leonieke M. van den Bulk, Anand Gavai, Lukas J. van den Heuvel , et al. · 2022

Automatic classification of literature in systematic reviews on food safety using machine learning Open

Leonieke M. van den Bulk, Yamine Bouzembrak, Anand Gavai, Liu Ning-jing, Lukas J. van den Heuvel , et al. · 2021

Artificial intelligence to detect unknown stimulants from scientific literature and media reports Open

Anand Gavai, Yamine Bouzembrak, Leonieke M. van den Bulk, Ningjing Liu, Lennert F.D. van Overbeeke , et al. · 2021

The world market for food supplements is large and is driven by the claims of these products to, for example, treat obesity, increase focus and alertness, decrease appetite, decrease the need for sleep or reduce impulsivity. The use of ill…

Finding unknown stimulants applied in food supplements using Artificial Intelligence Open

Anand Gavai, Yamine Bouzembrak, Leonieke M. van den Bulk, Liu Ning-jing, Lennert van Overbeeke , et al. · 2021

The world market for food supplements is large and is driven by the claims of these products to, for example, treat obesity, increase focus and alertness, decrease appetite, decrease the need for sleep or reduce impulsivity. The use of ill…

Automated food safety early warning system in the dairy supply chain using machine learning Open

Ningjing Liu, Yamine Bouzembrak, Leonieke M. van den Bulk, Anand Gavai, Lucas Heuvel , et al. · 2020

Traditionally, early warning systems for food safety are based on monitoring targeted food safety hazards. Therefore, food safety risks are generally detected only when the problems have developed too far to allow preventive measures. Succ…

Big Data in food safety- A review Open

Cangyu Jin, Yamine Bouzembrak, Jiehong Zhou, Qiao Liang, Leonieke M. van den Bulk , et al. · 2020

Internet of Things in food safety: Literature review and a bibliometric analysis Open

Yamine Bouzembrak, M. Klüche, Anand Gavai, H.J.P. Marvin · 2019

Internet of Things (IoT) is growing exponentially and can become an enormous source of information. IoT has provided new opportunities in different domains but also challenges are apparent that must be addressed. Little attention has been …

Climate change impacts on aflatoxin B1 in maize and aflatoxin M1 in milk: A case study of maize grown in Eastern Europe and imported to the Netherlands Open

H.J. van der Fels‐Klerx, Lucie C. Vermeulen, Anand Gavai, C. Liu · 2019

Various models and datasets related to aflatoxins in the maize and dairy production chain have been developed and used but they have not yet been linked with each other. This study aimed to investigate the impacts of climate change on afla…

The FAIR Funder pilot programme to make it easy for funders to require and for grantees to produce FAIR Data Open

Peter Wittenburg, Hana Pergl Sustkova, Annalisa Montesanti, Margreet Bloemers, S.H. de Waard , et al. · 2019

There is a growing acknowledgement in the scientific community of the importance of making experimental data machine findable, accessible, interoperable, and reusable (FAIR). Recognizing that high quality metadata are essential to make dat…

Clustering image noise patterns by embedding and visualization for common source camera detection Open

Sonja Georgievska, Rena Bakhshi, Anand Gavai, Alessio Sclocco, Ben van Werkhoven · 2019

We consider the problem of clustering a large set of images based on similarities of their noise patterns. Such clustering is necessary in forensic cases in which detection of common source of images is required, when the cameras are not p…

Data and source code supporting the publication Open

Ine Van Der Fels, Lucie C. Vermeulen, Anand Gavai, Cheng Liu · 2019

Supporting material, metadata, data and source code and example workflows

QTLTableMiner++: semantic mining of QTL tables in scientific articles Open

Gurnoor Singh, Arnold Kuzniar, Erik M. van Mulligen, Anand Gavai, C. Bachem , et al. · 2018

Anand Gavai YOU? Author Swipe