Results 1 to 10 of about 150,609 (224)

From social interactions to private environmental behaviours: The case of consumer food waste [PDF]

Resources, Conservation and Recycling, Volume 176, 2022, 105952, ISSN 0921-3449, 2021
Consumer food waste, like many environmental behaviours, takes place in private, and is not directly subject to social monitoring. Nevertheless, social interactions can affect private opinions and behaviours. This paper builds an agent-based model of interactions between consumers heterogeneous in their sociability, initial opinions and behaviours ...
arxiv   +1 more source

FoodWise: Food Waste Reduction and Behavior Change on Campus with Data Visualization and Gamification [PDF]

, 2023
Food waste presents a substantial challenge with significant environmental and economic ramifications, and its severity on campus environments is of particular concern. In response to this, we introduce FoodWise, a dual-component system tailored to inspire and incentivize campus communities to reduce food waste.
arxiv   +1 more source

Food Redistribution as Optimization [PDF]

Phillips C, Hoenigman R, Higbee B, Reed T (2013) Understanding the Sustainability of Retail Food Recovery. PLoS ONE 8(10): e75530, 2011
In this paper we study the simultaneous problems of food waste and hunger in the context of the possible solution of food (waste) rescue and redistribution. To this end, we develop an empirical model that can be used in Monte Carlo simulations to study the dynamics of the underlying problem.
arxiv   +1 more source

The SLED (Shelf Life Expiration Date) Tracking System: Using Machine Learning Algorithms to Combat Food Waste and Food Borne Illnesses [PDF]

arXiv, 2023
The issue of food waste is a major problem contributing to the emission of greenhouse gases into the environment in addition to causing illness in humans. This research aimed to develop a correlation between the amount of time until a food spoiled and dates on food labels in conjunction with sensory observations.
arxiv  

AI-enabled Efficient and Safe Food Supply Chain [PDF]

arXiv, 2021
This paper provides a review of an emerging field in the food processing sector, referring to efficient and safe food supply chains, from farm to fork, as enabled by Artificial Intelligence (AI). Recent advances in machine and deep learning are used for effective food production, energy management and food labeling.
arxiv  

A sustainable waste-to-protein system to maximise waste resource utilisation for developing food- and feed-grade protein solutions [PDF]

arXiv, 2022
A waste-to-protein system that integrates a range of waste-to-protein upgrading technologies has the potential to converge innovations on zero-waste and protein security to ensure a sustainable protein future. We present a global overview of food-safe and feed-safe waste resource potential and technologies to sort and transform such waste streams with ...
arxiv  

A Game Theoretic Framework for Surplus Food Distribution in Smart Cities and Beyond [PDF]

arXiv, 2021
Food waste is a major challenge for the present world. It is the precursor to several socioeconomic problems that are plaguing the modern society. To counter the same and to, simultaneously, stand by the undernourished, surplus food redistribution has surfaced as a viable solution.
arxiv  

Deep Learning for Classifying Food Waste [PDF]

arXiv, 2020
One third of food produced in the world for human consumption -- approximately 1.3 billion tons -- is lost or wasted every year. By classifying food waste of individual consumers and raising awareness of the measures, avoidable food waste can be significantly reduced.
arxiv  

Learning Bimanual Scooping Policies for Food Acquisition [PDF]

arXiv, 2022
A robotic feeding system must be able to acquire a variety of foods. Prior bite acquisition works consider single-arm spoon scooping or fork skewering, which do not generalize to foods with complex geometries and deformabilities. For example, when acquiring a group of peas, skewering could smoosh the peas while scooping without a barrier could result ...
arxiv  

New methodology for facilitating the food wastage quantification. Identifying gaps and data inconsistencies [PDF]

Journal of Environmental Management. 2019, 2019
The work aims at providing a new methodology to facilitate the process of quantifying the food waste according to European standards all along the agrifood chain combining information that is becoming available at local level. This new methodology generates straightforward and easy-to-interpret results for the decision making process in the framework
arxiv   +1 more source