Search Results - "learning"

The effect of early environment on the adaptability of chicks by Mccrea, Kirste Colleen

“…This study investigated cognitive functions and learning capabilities, which are pivotal in developing adaptation skills, of 48 laying hens at the age of 9-14 weeks using a holeboard test. …”
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Betydelsen av hundunderstödd undervisning vid problematisk skolfrånvaro samt tjänstehundarnas välfärd by Magnusson, Moa

“…For example, the dogs can motivate students to perform better in school and support students with learning problems. Moreover, an economic gain was seen when comparing the cost of a social service dog with the cost of one students delayed start to working life. …”
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En analys av vildrenars, fårs och kronhjorts nyttjande av saltstensplatser på norska fjäll i relation till avmagringssjuka (CWD) by Johansson, Cecilia

“…By creating a machine learning model, this project analysed > 500 000 pictures from 34 camera traps in four different parts of the Norwegian highlands: Nordfjella, Dovrefjell, Knutshø and Forollhogna. …”
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Creating, delivering, and capturing value through sustainability by Farah, Fardosa, Ndum, Rita

“…This explorative study of aquaponics found aquaponics to be a promising innovation for sustainable food production and a learning curve in the process of sustainability. However, its growth in Sweden is underdeveloped and a paradox. …”
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Naturskolans betydelse för barns sociala utveckling by Eriksson, Anna

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Utrustning inom svensk travsport by Elmgren, Erica

“…The literature review study showed importance of learning occouring correctly, and that ethology, senses and individual differences is taken in account. …”
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Institutional innovations in community-based watershed management – exploring lessons for scaling from an Inter Aide Programme in Southern Ethiopia by Yihenew Zewdie, Ebrahim, Mohammed, Getamesay Demeke

“…The establishment of steering committees at regional, zonal and woreda levels, with the explicit purpose of involving key stakeholders in the planning, implementation, learning and monitoring of the interventions is the key vehicle through which IAF strives to embed its technical interventions into regular government operations. …”
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Effects of urbanization on avian diversity and human-nature interactions in tropical environments by Awoyemi, A.G.

“…By leveraging machine learning algorithms and remotely sensed data, this approach can help reduce the labor, expense, and investigator error associated with manual data collection. …”
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Med kroppen som verktyg by Radeborg, Maria Sofia

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Barns utomhuslek by Östberg, Sara

“…Han har författat artikeln Outdoor Settings for Playing and Learning, en guide som kan användas vid anläggande eller upprustande av utomhusmiljöer på skolgårdar. …”
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Trygg i transport – effekten av tid och upprepning på unghästars lastträning by Larsson, Matilda

Ekologiskt kopplade institutioner inom jordbrukssystemet by Jellinek, Åsa

“…Understanding this process and constantly learn from it, is the starting point for creating a sustainable development within farming systems. …”
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Curso de contabilidad para socios de Cooperativas Vinculadas al sector silvoagropecuario y/o cadena agroalimentaria asociada

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Effective communication for disseminating soil and water management practices to bring about sustainable smallholder agriculture in Tanzania: Case study of Manyara and Dodoma regio... by Ndibalema, G.

“…This influences farmers to not only to get information but also trigger their learning and adoption of the innovation. Agricultural exhibition events should be organised at village or ward levels to provide practical backstops against which the experts can deliver information and knowledge to farmers, and give opportunity to farmers to access knowledge. …”
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Mapping suitability for rice production in inland valley landscapes in Benin and Togo using environmental niche modeling by Akpoti, K., Kabo-bah, A.T., Dossou-Yovo, Elliott Ronald, Groen, T.A., Zwart, Sander J.

“…In the present study, we developed an ensemble model approach to characterize the IVs suitability for rainfed lowland rice using 4 machine learning algorithms based on environmental niche modeling (ENM) with presence-only data and background sample, namely Boosted Regression Tree (BRT), Generalized Linear Model (GLM), Maximum Entropy (MAXNT) and Random Forest (RF). …”
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CTA Project Completion Report: DAIRYPROFIT by Dido Bashuna, Sabdiyo, Were, Thomas Obiero, Shiri, Mejury

“…The project created popular ICT platforms for learning, advisory services and trading, attracting over 50000 hits in 3 months. …”
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Genetic and phenotypic characterization of rice grain quality traits to define research strategies for improving rice milling, appearance, and cooking qualities in Latin America an... by Cruz, Maribel, Arbeláez Vélez, Juan D., Loaiza, Katherine, Cuásquer, Juan B., Rosas, Juan, Graterol Matute, Eduardo Jose

“…Overall, the machine learning model random forest had the highest predictive abilities and was especially effective for traits where large effect quantitative trait loci were identified. …”
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The future of zoonotic risk prediction by Carlson, C.J., Farrell, M.J., Grange, Z., Han, B.A., Mollentze, N., Phelan, A.L., Rasmussen, A.L., Albery, G.F., Bett, Bernard K., Brett-Major, D.M., Cohen, L.E., Dallas, T., Eskew, E.A., Fagre, A.C., Forbes, K.M., Gibb, R., Halabi, S., Hammer, C.C., Katz, R., Kindrachuk, J., Muylaert, R.L., Nutter, F.B., Ogola, J., Olival, K.J., Rourke, M., Ryan, S.J., Ross, N., Seifert, S.N., Sironen, T., Standley, C.J., Taylor, K., Venter, M., Webala, P.W.

“…To support the extensive task of laboratory characterization, scientists may increasingly rely on data-driven rubrics or machine learning models that learn from known zoonoses to identify which animal pathogens could someday pose a threat to global health. …”
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Report on partnerships for co-designing system architecture and co-creation of sustainable ag-data hub in Ethiopia by Tamene, Lulseged D., Ali, Ashenafi, Sewnet, Habtamu, Tilaye, Amsalu, Abera, Wuletawu

“…As a result, the potential of those huge datasets is not explored to guide planning and decision making at different levels. Learning from the above gaps and successes, awareness is created at the national and sub-national levels to bring datasets in an integrated manner and facilitate data sharing. …”
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Assessment of agricultural emissions, climate change mitigation and adaptation practices in Ethiopia by Feliciano, Diana, Recha, John W.M., Ambaw, Gebermedihin, MacSween, Kirsten, Solomon, Dawit, Wollenberg, Eva Karoline

“…Twenty-five smallholder farmers were selected by a local development agency and interviewed in the field about their land use and land management practices and the Mitigation Options Tool (MOT) was used to estimate GHG emissions, to identify mitigation options and co-benefits, and as a platform for promoting learning and knowledge exchange across different types of stakeholders. …”
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