Essays about: "crop"
Showing result 11 - 15 of 1185 essays containing the word crop.
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11. SHADING ANALYSIS OF AGRIVOLTAIC SYSTEMS : The shading’s effect on lettuce and potato from elevated agrivoltaic system in Sweden
University essay from Mälardalens högskola/Framtidens energiAbstract : The world is progressing towards a more sustainable society, where renewable energy sources, including solar energy, play a crucial role. This study aims to address the conflict between agriculture and energy production by exploring the installation of solar panels on farmland. READ MORE
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12. ”Många skärmar blir det” : digitaliseringens inverkan på svenska lantarbetares arbetsförhållanden
University essay from SLU/Dept. of Urban and Rural DevelopmentAbstract : Lantarbetarnas arbetsförhållanden påverkas i allt större utsträckning av den digitalisering som accelererat sedan 1990-talet. Jordbruket har genomgått en stor omställning i och med införandet av digitala verktyg vilket resulterar i förändringar inom arbetsmiljö, arbetsbelastning och kunskapskrav. READ MORE
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13. Multi-crop solutions for sustainable agriculture : A Minor Field Study in Ratchaburi, Thailand
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Agriculture is facing many challenges, such as decreased biodiversity, soil erosion, water scarcity, and social inequality, because of industrial farming and its focus on high yields at the expense of sustainability. This also includes Thailand and the province of Ratchaburi. READ MORE
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14. Spridning av mjöldryga genom renkavle
University essay from SLU/Dept. of Crop Production EcologyAbstract : Mjöldryga (Claviceps purpurea Tul.) är en svampsjukdom som leder till stora skador på framför allt råg och vete. Den är vanligt förekommande i Europa och befaras öka i framtiden. Renkavle (Alopecurus myosuroides Huds. READ MORE
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15. Data Driven Augmentation for Deep Learning Applications
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Deep learning models are achieving remarkable performance on numerous tasks across various fields and applications. However, current deep learning models often suffer from overfitting and are therefore heavily reliant on regularization techniques such as data augmentation. READ MORE