Essays about: "food and learning"
Showing result 1 - 5 of 166 essays containing the words food and learning.
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1. Automation of manual tasks at Statistics Sweden : Supervised machine learning as proof-of-concept
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Supervised machine learning is used to create a proof-of-concept for automation of manual tasks for Statistics Sweden. The goal of the first part is to classify occupations with an SSYK code using descriptions entered by the employee, the education level of the employee, and their industry. READ MORE
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2. Experiencing and learning about food and food waste: A phenomenological study of household individuals in Malaysia and Sweden from an ESD perspective
University essay from Göteborgs universitet/Institutionen för didaktik och pedagogisk professionAbstract : Aim: The aim of this study was to map how lived experiences affect the approach towards food and food waste. The study also aimed to map the primary learning sources regarding food and food waste in Malaysia and Sweden. Theory: The theoretical framework that was used is the Theory of Transformative learning by Jack Mezirow. READ MORE
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3. Garden-based learning in teacher education in Germany - A mixed-method study of teacher students´ and teacher educators´ views on garden-based education
University essay from Göteborgs universitet/Institutionen för didaktik och pedagogisk professionAbstract : Aim: This study focuses on achieving an in-depth understanding of teacher educators' and teacher students' perspectives on garden-based learning in the teacher education program in several universities in Germany. Theory: The theoretical framework is based on three theories. READ MORE
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4. Utilizing Transformers with Domain-Specific Pretraining and Active Learning to Enable Mining of Product Labels
University essay from Uppsala universitet/Avdelningen för beräkningsvetenskapAbstract : Structured Product Labels (SPLs), the package inserts that accompany drugs governed by the Food and Drugs Administration (FDA), hold information about Adverse Drug Reactions (ADRs) that exists associated with drugs post-market. This information is valuable for actors working in the field of pharmacovigilance aiming to improve the safety of drugs. READ MORE
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5. Study of evaluation metrics while predicting the yield of lettuce plants in indoor farms using machine learning models
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : A key challenge for maximizing the world’s food supply is crop yield prediction. In this study, three machine models are used to predict the fresh weight (yield) of lettuce plants that are grown inside indoor farms hydroponically using the vertical farming infrastructure, namely, support vector regressor (SVR), random forest regressor (RFR), and deep neural network (DNN). READ MORE