AIMC Topic: Food Supply
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AI-imputed and crowdsourced price data show strong agreement with traditional price surveys in data-scarce environments.
PloS one
Apr 8, 2025
Continuous access to up-to-date food price data is crucial for monitoring food security and responding swiftly to emerging risks. However, in many food-insecure countries, price data is often delayed, lacks spatial detail, or is unavailable during cr...
Nutritional intelligence in the food system: Combining food, health, data and AI expertise.
Nutrition bulletin
Jan 12, 2025
Transformative change is needed across the food system to improve health and environmental outcomes. As food, nutrition, environmental and health data are generated beyond human scale, there is an opportunity for technological tools to support multif...
Machine learning-based optimal temperature management model for safety and quality control of perishable food supply chain.
Scientific reports
Nov 8, 2024
The management of a food supply chain is difficult and complex because of the product's short shelf-life, time-sensitivity, and perishable nature which must be carefully considered to minimize food waste. Temperature-controlled perishable food supply...
Artificial intelligence can regulate light and climate systems to reduce energy use in plant factories and support sustainable food production.
Nature food
Sep 9, 2024
Plant factories with artificial lighting (PFALs) can boost food production per unit area but require resources such as carbon dioxide and energy to maintain optimal plant growth conditions. Here we use computational modelling and artificial intellige...
Digital innovations for monitoring sustainability in food systems.
Nature food
Aug 15, 2024
Monitoring systems that incentivize, track and verify compliance with social and environmental standards are widespread in food systems. In particular, digital monitoring approaches using remote sensing, machine learning, big data, smartphones, platf...
Machine learning-based life cycle assessment for environmental sustainability optimization of a food supply chain.
Integrated environmental assessment and management
Jun 14, 2024
Effective resource allocation in the agri-food sector is essential in mitigating environmental impacts and moving toward circular food supply chains. The potential of integrating life cycle assessment (LCA) with machine learning has been highlighted ...
Agricultural biotechnology for sustainable food security.
Trends in biotechnology
Jan 27, 2023
Of late, global food security has been under threat by the coronavirus disease 2019 (COVID-19) pandemic and the recent military conflict in Eastern Europe. This article presents the objectives of the Sustainable Development Goals and the European Gre...
Neural network in food analytics.
Critical reviews in food science and nutrition
Nov 2, 2022
Neural network (i.e. deep learning, NN)-based data analysis techniques have been listed as a pivotal opportunity to protect the integrity and safety of the global food supply chain and forecast $11.2 billion in agriculture markets. As a general-purpo...
Deciphering the blackbox of omics approaches and artificial intelligence in food waste transformation and mitigation.
International journal of food microbiology
Apr 28, 2022
It is necessary to stop the wastage of food during any stage of food chain to resolve the challenge of starvation, hunger and malnutrition in the world. Inception of modern techniques like omics (metagenomics, proteomics, transcriptomics, wasteomics,...
Toward the Next Generation of Digitalization in Agriculture Based on Digital Twin Paradigm.
Sensors (Basel, Switzerland)
Jan 10, 2022
Digitalization has impacted agricultural and food production systems, and makes application of technologies and advanced data processing techniques in agricultural field possible. Digital farming aims to use available information from agricultural as...
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