Resultados de búsqueda - "Google"

Ledarskap, dominans och motivationsfaktorer i relationen mellan häst och människa por Hauptmann, Mathilda

“…The articles was found using databases like Google Scholar, Primo and Science Direct, where the keywords leadership, dominance and motivation were used in different configurations. …”

Sniglar som skadegörare : förekomst och behov av åtgärder por Nilsson, Anna

“…Jag har sökt litteratur i SLU:s bibliotek i Alnarp samt i Laholms bibliotek och hämtat vetenskapliga artiklar genom Primo och Google Scholar samt i WebofScience och ScienceDirect. …”

Climate Services for Resilient Development in South Asia por Krupnik, Timothy J., Hussain, G, Montes, C., Schulthess, Urs C., Siddiquee, A., Rahman, M., Khan, M, Salam, M, Khanam, Fahmida, Miah, A, Hasan, M., Kamal, M, Hossain, K, Hassan, A., Haque, A, Kurishi, K, Rokon, G, Uddin, S, Billah, M., Tasnim, Tasfia, Fernandes, J

“…CSRD is led by the United States Government and is supported by the UK Government Department for International Development (DFID), UK Meteorological Office, ESRI, Google, the Inter-American Development Bank, the Asian Development Bank, and the American Red Cross. …”
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Small reservoirs in the northern regions of Ghana and their vulnerability to drying por Siabi, Ebenezer K., Akpoti, Komlavi, Zwart, Sander J.

“…This study investigates the dynamics and susceptibility to drying of small reservoirs in Northern Ghana, leveraging advanced machine learning and remote sensing techniques through Google Earth Engine. It aims to map these reservoirs, evaluate their extent, and analyze water availability during dry seasons, crucial for understanding water resource potential for aquaculture and supporting food security goals under the CGIAR Initiative on Aquatic Foods. …”
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Biodiversity and resilience interventions: Analysis of interviews with farmers in Brazil por Kuncz, Adina, Ferez, Ana Paul Cervi, Cézar, Adelaine, Brancalion, Pedro, Zhang, Wei

“…All interviews were conducted through either Google Meet or WhatsApp phone call. The interviews were part of the Enhancing Biodiversity and Resil-ience in Crop Production project, which was commissioned by Bayer and implemented in collaboration with ETH Zurich and IFPRI. …”
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Consumer immobility predicts both macroeconomic contractions and household poverty during COVID-19 por Headey, Derek D., Cho, Ame, Lambrecht, Isabel B., Maffioli, Elisa Maria, Toth, Russell

“…Here we show that an ‘immobility’ indicator from GoogleTM – measuring the extent to which consumers are staying at home more – is a powerful predictor of changes in household poverty in Myanmar, as well as aggregate national consumption and gross domestic product (GDP) in cross-country data. …”
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Use of time series normalized difference vegetation index (NDVI) to monitor fall armyworm (Spodoptera frugiperda) damage on maize production systems in Africa por Adan, M., Tonnang, H.E.Z., Greve, K., Borgemeister, C., Goergen, G.

“…The study employed the normalized difference vegetation index (NDVI) computed from Landsat 8 imagery using the Google Earth Engine (GEE) using image composites for the years 2013 to 2020 for the study areas. …”
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The impact of agricultural information services on farm household outcomes in sub-Saharan Africa: A systematic review protocol por Walelign, Solomon Zena, Akalu, Lingerh Sewnet, Siltanu, Gebretsadik Teshager, Bosire, Caroline K., Mukherji, Aditi

“…The analysis will synthesize evidence from published studies sourced from bibliographic databases such as Web of Science, Scopus, and CAB Abstracts, as well as grey literature from Google Scholar, ProQuest, and CGIAR’s CGSpace. The screening process will be carried out in Rayyan.ai based on a detailed inclusion and exclusion criteria. …”
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Change detection of Sri Ram Sagar Project-1 command area using geospatial tools por Pranay, Panjala

“…This classification is mainly done by using spectral matching techniques i.e., comparing ideal spectral signatures with NDVI values and Google Earth. This work will help for decision makers to estimate the amount of crop and cropping intensity under the command area.…”
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Automatic speech recognition model development report por Mganga, Nelson, Jones-Garcia, Eliot, Koo, Jawoo

“…The report is divided into four main sections describing activities and methods utilized in processing (annotation, preparation, cleaning, and modeling) radio recordings used to train the models, finetuning and evaluation of the models, as well as setting up interfaces on Hugging Face and Google Colab for testing.…”
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MarkSim standalone for DSSAT users por Jones, Peter G.

“…Marksim_standalone.exe combines the basic routines from the original MarkSim version, produced at CIAT (International Center for Tropical Agriculture) and distributed on CD (Jones et.al., 2002), and the new MarkSimGCM web application (Jones et al. 2011a, b) that runs off Google Earth. The standalone version is designed for computer users that need to process a large amount of data. …”
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Evaluación y cartografía de la erosión hídrica en la Argentina por Casas, Roberto Raul, Godagnone, Rubén Edgardo, De La Fuente, Juan Carlos

“…La cartografía digital disponible fue proyectada sobre imágenes satelitales y sobre las imágenes de las plataformas web Google Maps y Bings Maps, empleando la proyección geográfica WGS 84 (sistema geodésico de coordenadas geográficas usado mundialmente) para poder superponerla. …”
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Discriminación de suelo desnudo como estimador de sequía y de riesgo de erosión en ambiente semiáridos (partidos de Bahía Blanca y Coronel Rosales) por Marini, Mario Fabian, De Leo, Geronimo, Lauric, Miriam Andrea

“…Para discriminar el suelo desnudo se elaboró un algoritmo que relacionó el comportamiento de tres índices satelitales durante el mes de agosto de 2022 y 2023: el Índice de Suelo Desnudo, el Índice Normalizado de Diferencia de Vegetación y el Índice de Vegetación Mejorada empleando el software Google Earth Engine. Para el mes de agosto de 2022 la superficie de suelo desnudo fue de 3801 has mientras que para agosto del año 2023 la misma fue de 24920 has, lo que representa un incremento del 84 %. …”
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En produktionsjämförelse mellan Hyssnametoden och SLU:s försöksytor por Melkersson, Isabella, Christensson, Camilla

“…Litteratursökning har skett genom databaserna google scolar, Primo samt Web of Science. Huvudresultatet visar att Hyssnas gallringsfria metod genererar högre volymproduktion, men en sämre ökning av timmerandel i jämförelse med SLU:s gallrade objekt (vid en gallring). …”
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Strategic & Applied Research & Coordination in Action: Climate Services for Resilient Development (CSRD) in South Asia por Krupnik, Timothy J., Hussain, G, Montes, C., Schulthess, Urs C., Siddiquee, A., Rahman, M., Khan, M, Salam, M, Khanam, Fahmida, Miah, A, Hasan, M., Kamal, M, Hossain, K, Hassan, A., Haque, A, Kurishi, K, Rokon, G, Uddin, S, Billah, M., Tasnim, Tasfia, Fernandes, J

“…CSRD is led by the United States Government and is supported by the UK Government Department for International Development (DFID), UK Meteorological Office, ESRI, Google, the Inter-American Development Bank, the Asian Development Bank, and the American Red Cross. …”
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Climate Services for Resilient Development in South Asia: Semi-annual Report, January to June 2019 por Krupnik, Timothy J., Hussain, Ghulam, Montes, Carlos, Amjath-Babu, Tharayil Shereef, Schulthess, Urs C., Siddiquee Iqbal, Ansar A., Khan, Shahidul Haque, Salam, Moin, Khanam, Fahmida, Kamal, Mustafa, Pilat, Anne-Laure, Mason, Simon J., Qamer, Faisal M., Billah, Motasim

“…CSRD in South Asia is supported by the United States Government and with a steering consortium committee comprised of the UK Government Department for International Development (DFID), UK Meteorological Office, Environmental Systems Research Institute (ESRI), Google, the Inter-American Development Bank (IADB), the Asian Development Bank (ADB), and the American Red Cross (ARC). …”
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Climate Smart Agriculture and Gender Learning Agenda por Global Knowledge Initiative

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Edutainment, gender and intra-household decision-making in agriculture: A field experiment in Kenya por Aju, Stellamaris, Kramer, Berber, Waithaka, Lilian

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A systematic mapping review of links between handling wild meat and zoonotic diseases por Tumelty, L., Fa, J.E., Coad, L.M., Friant, S., Mbane, J., Kamogne, C.T., Tata, C.Y., Ickowitz, A.

“…We systematically mapped the literature on wild meat handling and zoonotic disease transmission (1996–2022) using the online database Web of Science and Google search engine and identified 6229 articles out of which 253 were finally selected for use in our mapping review; 51 of these provided specific information regarding transmission risks. 3. …”
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Monitoring of the mangrove ecosystem in the province of Guayas-Ecuador during the period 2018-2022. por Caiza Morales, Lorena

“…To facilitate the sustainable management of mangroves, an open tool based on remote sensing data and machine learning was developed on the Google Earth Engine platform (MANGLEE). MANGLEE was tested in the mangroves of Guayas, Ecuador. …”
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