Essays about: "food classification"

Showing result 11 - 15 of 46 essays containing the words food classification.

  1. 11. Motivations, Barriers and Collaborative Strategies at Entry on the Swedish Alternative Protein Market : A Resource Based Perspective

    University essay from Uppsala universitet/Industriell teknik

    Author : Kilian Nyssen; Buğra Kar; [2021]
    Keywords : resource-based view; market entry; entry motivations; entry strategies; stakeholder collaboration; alternative proteins;

    Abstract : The necessity of sustainable transitions has become more and more acknowledged in recent years. From these changes, specific markets have recently been emerging which are closely tied to sustainable development. READ MORE

  3. 12. Detecting illegal gold mining sites in the Amazon forest : Using Deep Learning to Classify Satellites Images

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Nathan Labbe; [2021]
    Keywords : Deep Learning; Image Classification; Image Segmentation; Environmental Monitoring; Illegal Gold Mines Detection; Djupinlärning; bildklassificering; bildsegmentering; miljöövervakning; upptäckt av illegala guldgruvor;

    Abstract : Illegal gold mining in the Amazon forest has increased dramatically since 2005 with the rise in the price of gold. The use of chemicals such as mercury, which facilitate the gold extraction, increases the toxicity of the soil and can enter the food chain, leading to health problems for the inhabitants, and causes the environmental scourge we know today. READ MORE

  4. 13. Remote sensing-based land cover classification and change detection using Sentinel-2 data and Random Forest : A case study of Rusinga Island, Kenya

    University essay from Linköpings universitet/Tema Miljöförändring

    Author : Malena Hesping; [2020]
    Keywords : Land cover classification; post-classification change detection; Random Forest; remote sensing; Sentinel-2;

    Abstract : Healthy forests and soils are crucial for the very existence of mankind as they provide food, clean water and air, shade and protection against floods and storms. With their photosynthetic carbon storage ability, they mitigate climate change and fertilise and stabilise soils. READ MORE

  5. 14. Multitask Convolutional Neural Network Emulators for Global Crop Models - Supervised Deep Learning in Large Hypercubes of Non-IID Data

    University essay from Lunds universitet/Matematisk statistik

    Author : Amanda Nilsson; [2020]
    Keywords : Multitask Learning; Convolutional Neural Network CNN ; Branched Neural Network; Dynamic Global Vegetation Models DGVM ; Automated Feature Extraction; Feature Importance; Supervised Machine Learning; Emulator; Surrogate Model; Response Surface Model; Approximation Model; Metamodeling; Model Composition; Regularization; Robustness; Hyperparameter Optimization; Mathematics and Statistics;

    Abstract : The aim of this thesis is to establish whether a neural network (NN) can be used for emulation of simulated global crop production - retrieved from the computationally demanding dynamic global vegetation model (DGVM) Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS). It has been devoted to elaboration with various types of neural network architectures: Branched NNs capable of processing inputs of mixed data types; Convolutional Neural Network (CNN) architectures able to perform automated temporal feature extraction of the given weather time series; simpler fully connected (FC) structures as well as Multitask NNs. READ MORE

  6. 15. CLASSIFYING DOMINANT PARKLAND SPECIES IN A WEST AFRICAN AGROFORESTRY LANDSCAPE USING PLEIADES SATELLITE IMAGERY

    University essay from Linköpings universitet/Institutionen för tema

    Author : Simon Lunn; [2020]
    Keywords : Remote Sensing; Burkina Faso; Pleiades Satellite; Tree species; Agroforestry;

    Abstract : As we move towards a digital based society, technology continues to improve. It is important to take advantage of this to inform and facilitate our sustainable development goals in the most cost-effective and time efficient manner. READ MORE