Essays about: "Yield prediction"
Showing result 1 - 5 of 86 essays containing the words Yield prediction.
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1. Assessing water balance and yields in Malawian cropping systems : maize soybean and maize Gliricidia systems resilience against climate change
University essay from SLU/Dept. of Soil and EnvironmentAbstract : In Malawi, maize monocultures are increasingly susceptible to extreme weather patterns, causing considerable yield reduction and heightened food insecurity for smallholder farmers dependent on rainfed subsistence agriculture. Diversifying cropping systems is crucial for ensuring yield resilience. READ MORE
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2. Predictability of Shareholder Return in Medical Device Companies : Investment Decisions from thePerspective of an Investment Firm
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : The medical device industry has seen rapid growth in recent years, and the increasing valuations has caught the attention of investors. Although their growth has outpaced many indices, medical device companies’ reliance on capital to finance research, patents, and clinical testing to reach pre-market approval makes due-diligence and the investment research process especially complex. READ MORE
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3. Non-proliferation and safeguards aspects of SMR’s in Sweden : A study on the future electricity demand in Sweden and the implications on nuclear safeguards from the deployment of SMRs in Sweden
University essay from Uppsala universitet/Tillämpad kärnfysikAbstract : This project aims to investigate and analyze crucial aspects related to the deployment of Small Modular Reactors (SMRs) in Sweden. SMRs have risen as a competitor to large-scale nuclear power plants with cost-competitiveness and cogeneration purposes in focus. READ MORE
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4. 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
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5. The Application of Multivariate Statistical Process Control during Industrial Hot Isostatic Pressing Sintering Processes : A Case study at Seco Tools AB
University essay from Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälleAbstract : This Master's thesis focuses on improving the understanding and monitoring of the Hot Isostatic Pressing (HIP) sintering process used by Seco Tools AB to manufacture cemented carbides for cutting tools. While essential for producing cutting tools with superior hardness and toughness the HIP sintering process introduces a complex relationship between the selected process parameters and the achieved materials properties. READ MORE