Harvesting a sustainable future: An overview of smart agriculture's role in social, economic, and environmental sustainability

ZHZ Azlan, SN Junaini, NA Bolhassan, R Wahi… - Journal of Cleaner …, 2023 - Elsevier
As climate change and population growth intensify, the agricultural sector's need for
sustainable solutions is paramount. This paper presents an overview of smart agriculture, a …

[HTML][HTML] Can a byte improve our bite? An analysis of digital twins in the food industry

E Henrichs, T Noack, AM Pinzon Piedrahita, MA Salem… - Sensors, 2021 - mdpi.com
The food industry faces many challenges, including the need to feed a growing population,
food loss and waste, and inefficient production systems. To cope with those challenges …

Anticipating food structure of meat products from mastication physics applying machine learning

D Oppen, T Attig, J Weiss, C Krupitzer - Food Research International, 2023 - Elsevier
Alternatives to animal-based products are becoming more relevant. Most of those products
rely at some stage on a structuring process; hence researchers are developing techniques …

[HTML][HTML] Digital food twins combining data science and food science: system model, applications, and challenges

C Krupitzer, T Noack, C Borsum - Processes, 2022 - mdpi.com
The production of food is highly complex due to the various chemo-physical and biological
processes that must be controlled for transforming ingredients into final products. Further …

Application of machine learning and artificial intelligence on agriculture supply chain: a comprehensive review and future research directions

S Kumari, VG Venkatesh, FTC Tan, SV Bharathi… - Annals of Operations …, 2023 - Springer
Agriculture has transitioned from traditional to contemporary practices because of
technological transformation. Powered by digital technologies and analytics such as …

[HTML][HTML] Why Do We Need Food Systems Informatics? Introduction to This Special Collection on Smart and Connected Regional Food Systems

TP Tomich, C Hoy, MR Dimock, AD Hollander… - Sustainability, 2023 - mdpi.com
Public interest in where food comes from and how it is produced, processed, and distributed
has increased over the last few decades, with even greater focus emerging during the …

[HTML][HTML] Systematic Literature Review of Barriers and Enablers to Implementing Food Informatics Technologies: Unlocking Agri-Food Chain Innovation

WA Orjuela-Garzon, A Sandoval-Aldana… - Foods, 2024 - mdpi.com
Access to food products is becoming more and more complex due to population growth,
climate change, political and economic instability, disruptions in the global value chain, as …

[HTML][HTML] Using a Machine Learning Regression Approach to Predict the Aroma Partitioning in Dairy Matrices

M Anker, C Borsum, Y Zhang, Y Zhang, C Krupitzer - Processes, 2024 - mdpi.com
Aroma partitioning in food is a challenging area of research due to the contribution of
several physical and chemical factors that affect the binding and release of aroma in food …

[HTML][HTML] Prediction of Aroma Partitioning Using Machine Learning

M Anker, C Krupitzer, Y Zhang, C Borsum - Engineering Proceedings, 2023 - mdpi.com
Intensive research in the field over the past decades highlighted the complexity of aroma
partition. Still, no general model for predicting aroma matrix interactions could be described …

[PDF][PDF] The Effectiveness of Simple Time Series Implementation in the Culinary Industry: A Systematic Literature Review

H Sarjono, J Maesaroh - 2022 - ieomsociety.org
Forecasting as demand in the culinary industry is very necessary for decision making in the
supply of culinary ingredients and reducing stock outs that often occur. This study uses a …