Sökning: "Indoor Vertical Farming"

Visar resultat 1 - 5 av 16 uppsatser innehållade orden Indoor Vertical Farming.

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. Simulation as an Enabler for ProductionSystem Development within the Indoor Vertical Farming Industry

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

   Författare :Anwar Abbas; Ömer Faruk Acar; [2023]
   Nyckelord :Indoor Vertical Farming; Production System Development; Industry 4.0; Facility Layout Design; and Simulation;

   Sammanfattning : With the increase in food consumption, new ideas, and technologies began to be developed. Inaddition, the developments generated by Industry 4.0 technologies have started to be applied tothe entire manufacturing sector and the indoor farming industry, which is currently trending. LÄS MER

4. 3. The use of hyperspectral sensors for quality assessment : A quantitative study of moisture content in indoor vertical farming

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

   Författare :Arezo Ahaddi; Zeineb Al-Husseini; [2023]
   Nyckelord :Hyperspectral Imaging; lettuce; moisture content; NIR; near-infrared spectroscopy; shelf life; quality assessment; vertical farming; MicroNIR;

   Sammanfattning : Purpose: This research will study how hyperspectral sensoring can assess the moisture content of lettuce by monitoring its growth in indoor vertical farming. Research questions: “What accuracy can be achieved when using hyperspectral sensoring for assessing the moisture content of lettuce leaves grown in vertical farming?” “How can vertical farming contribute to sustainability in conjunction with integration of NIR spectroscopy?” Methodology: This study is an experimental study with a deductive approach in which experiments have been performed using the hyperspectral technologies singlespot sensor and the hyperspectral camera Specim FX17 to collect spectral data. LÄS MER

5. 4. Effects of temperature on germination and juvenile growth in Spinach (Spinacia oleracea L.)

   Master-uppsats, SLU/Dept. of Crop Production Ecology

   Författare :Gabriel von Rosen; [2022]
   Nyckelord :indoor farming; vertical farming; hydroponics; spinach; seed germination;

   Sammanfattning : As the worlds urban population grows more and more every year, it becomes increasingly important that cities become more self-sufficient on food. Indoor vertical hydroponic farms offer a solution to this by placing the farm in an urban environment and growing plants in a controlled environment. LÄS MER

7. 5. Life Cycle Assessment of Urban Underground Oyster Mushroom Farming

   Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

   Författare :Emile Lemaitre; [2022]
   Nyckelord :Life cycle assessment LCA ; Urban mushroom farming; Oyster mushrooms; Urban agriculture; Livscykelanalys LCA ; Urban svampodling; Ostronskivling; Stadsodling;

   Sammanfattning : Global food production has been recognized as the single largest driver of environmental degradation and transgression of planetary boundaries. Providing healthy food sustainably to a growing, mostly urban population will require radical changes to the food system. LÄS MER