[HTML][HTML] Computer vision in smart agriculture and precision farming: Techniques and applications
The transformation of age-old farming practices through the integration of digitization and
automation has sparked a revolution in agriculture that is driven by cutting-edge computer …
automation has sparked a revolution in agriculture that is driven by cutting-edge computer …
Artificial intelligence: Implications for the agri-food sector
A Taneja, G Nair, M Joshi, S Sharma, S Sharma… - Agronomy, 2023 - mdpi.com
Artificial intelligence (AI) involves the development of algorithms and computational models
that enable machines to process and analyze large amounts of data, identify patterns and …
that enable machines to process and analyze large amounts of data, identify patterns and …
Enabling digital twins to support the UN SDGs
Digitalisation has enjoyed rapid acceleration during the COVID-19 pandemic on top of the
already fast-paced expansion impacting almost every aspect of daily life. Digital twin …
already fast-paced expansion impacting almost every aspect of daily life. Digital twin …
Digital technologies for food loss and waste prevention and reduction in agri-food supply chains: A systematic literature review and research agenda
Despite the benefits resulting from the use of Industry 4.0 technologies in the agri-food
sector, the adoption of digital technologies for preventing and/or reducing food loss and …
sector, the adoption of digital technologies for preventing and/or reducing food loss and …
The role of AI in warehouse digital twins: literature review
In the era of industry 5.0, digital twins (DTs) play an increasingly pivotal role in contemporary
society. Despite the literature's lack of a consistent definition, DTs have been applied to …
society. Despite the literature's lack of a consistent definition, DTs have been applied to …
Analyzing the Implementation of Digital Twins in the Agri-Food Supply Chain
Background: Digital twins have the potential to significantly improve the efficiency and
sustainability of the agri-food supply chain by providing visibility, reducing bottlenecks …
sustainability of the agri-food supply chain by providing visibility, reducing bottlenecks …
Integration of digital twin, machine-learning and industry 4.0 tools for anomaly detection: An application to a food plant
This work describes a structured solution that integrates digital twin models, machine-
learning algorithms, and Industry 4.0 technologies (Internet of Things in particular) with the …
learning algorithms, and Industry 4.0 technologies (Internet of Things in particular) with the …
[HTML][HTML] Virtual agri-food supply chains: A holistic digital twin for sustainable food ecosystem design, control and transparency
Abstract The transition of Agri-Food Supply Chains (AFSC) toward sustainable patterns able
to secure safe, quality, and affordable food whilst preserving natural and anthropogenic …
to secure safe, quality, and affordable food whilst preserving natural and anthropogenic …
A general machine learning model for assessing fruit quality using deep image features
ID Apostolopoulos, M Tzani, SI Aznaouridis - AI, 2023 - mdpi.com
Fruit quality is a critical factor in the produce industry, affecting producers, distributors,
consumers, and the economy. High-quality fruits are more appealing, nutritious, and safe …
consumers, and the economy. High-quality fruits are more appealing, nutritious, and safe …
Visual early warning and prediction of fresh food quality deterioration: Research progress and application in supply chain
J Qiao, M Zhang, L Qiu, AS Mujumdar, Y Ma - Food Bioscience, 2024 - Elsevier
Fresh foods are prone to deterioration in complex and variable condition's encountered in
supply chains. Currently it is not possible for consumers to intuitively or visually know the …
supply chains. Currently it is not possible for consumers to intuitively or visually know the …