Sökning: "Vertical Forest"

Visar resultat 1 - 5 av 54 uppsatser innehållade orden Vertical Forest.

  1. 1. Study of evaluation metrics while predicting the yield of lettuce plants in indoor farms using machine learning models

    Magister-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Divya Chedayan; Harry Geo Fernandez; [2023]
    Nyckelord :machine learning; lettuce yield prediction; Regression; SVR; RF; DNN; MAE; MSE; RMSE; R-squared; Adjusted R-squared;

    Sammanfattning : 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). LÄS MER

  3. 2. Forest fertilization does not cause any long-term effects on tree growth or vegetation composition

    Master-uppsats, SLU/Dept. of Ecology

    Författare :Yixian Chen; [2023]
    Nyckelord :density; ground vegetation; height; stem radial growth; legacy nitrogen effect; soil total N and C N ratio; tree;

    Sammanfattning : Forest fertilization is considered one of the most effective management options to improve forest productivity. In Fennoscandia, nitrogen (N) fertilization has been practiced for over 50 years and is normally added in the form of granules of NH4NO3 at least 15 years prior to the final harvest. LÄS MER

  4. 3. STUDY OF DISTRIBUTED/FEDERATED LEARNING APPROACHES WITH RANDOM FOREST FOR SENSOR FAILURE DETECTION IN MANUFACTURING ENVIRONMENT

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Andreas Karlsson; [2023]
    Nyckelord :;

    Sammanfattning : In a manufacturing environment, the continuous operation of production lines is of most importance to ensure optimal productivity and profitability. To maintain efficiency and safety, production lines often rely on systems that utilize data from sensors placed around the manufacturing process. LÄS MER

  5. 4. Doppler radar odometry for localization in difficult underground environment

    Uppsats för yrkesexamina på grundnivå, Örebro universitet/Institutionen för naturvetenskap och teknik

    Författare :Emil Fritz; Annika Nilsson; [2023]
    Nyckelord :SLAM; Localization; Mappers; Odometry; Drift; RIO; Radar; Lidar; IMU;

    Sammanfattning : Accurate and efficient localization is a fundamental requirement for autonomous operation of robots, especially in areas that deny global navigation services. Localization is even more challenging in environments that present visual and geographic difficulties. LÄS MER

  7. 5. Real time control of an active pendulum arm suspension system for a downscaled XT28 forwarder model

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Niclas Määttä; Adam Westermark; [2023]
    Nyckelord :mechatronics; offset-free MPC; MPC; LQR; XT28; forwarder; pendulum arm; forestry; mekatronik; offset-free MPC; MPC; LQR; XT28; skotare; pendelarm; skogsbruk;

    Sammanfattning : A forwarder named XT28 has been developed in joint collaboration between eXtractor AB, Skogforsk AB, KTH, Linköpings Unversity, Sveaskog, and Bosch Rexroth. The forwarder is equipped with six hydraulic active suspension pendulum arms. LÄS MER