Modelling techniques to improve the quality of food using artificial intelligence

V Sahni, S Srivastava, R Khan - Journal of Food Quality, 2021 - Wiley Online Library
Artificial intelligence (AI), or AI/machine vision, is assuming an overwhelming part in the
realm of food handling and quality affirmation. As indicated by Mordor Intelligence, AI in the …

The role of recall periods when predicting food insecurity: A machine learning application in Nigeria

AH Villacis, S Badruddoza, AK Mishra, J Mayorga - Global Food Security, 2023 - Elsevier
Defining and measuring food insecurity at the household level is critical for policymakers,
aid agencies, and international organizations. Food insecurity indicators, such as the Food …

Predicting agri-food quality across space: A Machine Learning model for the acknowledgment of Geographical Indications

G Resce, C Vaquero-Piñeiro - Food Policy, 2022 - Elsevier
Abstract Geographical Indications (GIs), as Protected Designation of Origin (PDO) and
Protected Geographical Indication (PGI), offer a unique protection scheme to preserve high …

Forecasting by machine learning techniques and econometrics: A review

G Shobana, K Umamaheswari - 2021 6th international …, 2021 - ieeexplore.ieee.org
Econometricians deal with a tremendous amount of data to derive the relationships between
economic entities. When statistical techniques are applied to the economic data to …

Rising to the challenge: Embedding environmental justice in management and organization studies

A Foster, N Wissman, LA Bray… - Organization & …, 2023 - journals.sagepub.com
Management and organization studies (MOS) scholars have recently brought attention to the
lack of engagement with social equity and justice in tackling grand challenges. We argue …

Food insecurity reduces the chance of following a nutrient-dense dietary pattern by Brazilian adults: insights from a nationwide cross-sectional survey

MA Castro, MM Fontanelli, CA Nogueira-de-Almeida… - Nutrients, 2022 - mdpi.com
Dietary patterns derived by data-driven techniques are still scarce in the food security
context and may be a useful tool to inform policymakers to promote adequate and healthy …

WEIRD and non-consensual food deserts and swamps: A scoping review of operational definitions

G Ares, S Turra, L Bonilla, M Costa, S Verdier, G Brunet… - Health & Place, 2024 - Elsevier
The aim of the present study was to critically analyze operational definitions of food deserts
and food swamps included in empirical studies published in peer-reviewed journals. A …

[PDF][PDF] Weight Prediction Using the Hybrid Stacked-LSTM Food Selection Model.

AM Elshewey, MY Shams, Z Tarek… - Comput. Syst. Sci …, 2023 - researchgate.net
Food choice motives (ie, mood, health, natural content, convenience, sensory appeal, price,
familiarities, ethical concerns, and weight control) have an important role in transforming the …

Role of artificial intelligence in achieving global food security: a promising technology for future

R Chamara, SMP Senevirathne… - Sri Lanka Journal of …, 2020 - sljfa.sljol.info
Rapid growth of population, diminishing natural resources, climate change, shrinking
agricultural lands and unstable markets are making the global food systems rather insecure …

Population decline and changes in food store access

H Nilsson - Regional Studies, 2023 - Taylor & Francis
ABSTRACT I examine how neighbourhood-level food store access, proxied by distance to
the nearest food store, changed in Sweden between 2000 and 2013, and how this change is …