Essays about: "food classification"
Showing result 1 - 5 of 46 essays containing the words food classification.
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1. Climate impact of ultra-processed foods in the Swedish diet
University essay from SLU/Department of Molecular SciencesAbstract : The climate impact associated with food consumption is large. The size of the impact depend on the type of food and how it is produced. Food systems are currently changing and urbanization and increased affluence of consumers have led to an overall increase in food consumption and a rise in consumption of processed foods globally. READ MORE
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2. A Novel Approach for Rice Plant Disease Detection, classification and localization using Deep Learning Techniques
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. This Thesis addresses the critical issue of disease management in ricecrops, a key factor in ensuring both food security and the livelihoods of farmers. Objectives. READ MORE
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3. Prediction of Plastic Fragments in Recycled Paper Using Near-Infrared Spectroscopy
University essay from Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013)Abstract : Sustainability has gained a lot of attention in the field of research. Researchers and consumers both prioritize sustainability and environmental issues over previously dominant materials, such as plastic. Packaging and disposable items that used to be made of plastic have largely been replaced with paper. READ MORE
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4. FoodTracker: Grow your own tree : Managing food waste using web technologies
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Food waste has become a serious matter which negatively impacts the environment worldwide. This raises the issue of managing food waste more efficiently, which in many cases can be aided with technology, and there has been previous research suggesting possible solutions. READ MORE
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5. Deep neural networks for food waste analysis and classification : Subtraction-based methods for the case of data scarcity
University essay from Uppsala universitet/Signaler och systemAbstract : Machine learning generally requires large amounts of data, however data is often limited. On the whole the amount of data needed grows with the complexity of the problem to be solved. Utilising transfer learning, data augmentation and problem reduction, acceptable performance can be achieved with limited data for a multitude of tasks. READ MORE
