Resultados de búsqueda - "learning"

Supporting the vulnerable: Increasing adaptive capacities of agropastoralists to climate change in West and southern Africa using a transdisciplinary research approach por Steeg, Jeannette van de, Herrero, Mario, Notenbaert, An Maria Omer

“…By doing this we can provide active learning opportunities and promote the co-creation of adaptation options between different stakeholders. …”
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Heading towards commercialization? The case of live animal marketing in Ethiopia por Gebremedhin, Berhanu, Hoekstra, Dirk, Jemaneh, S.

“…Hence, it is important to build on these efforts, evaluate them to learn lessons, and strengthen the extension service to promote the market orientation among the wider farming population. …”
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Integration of agronomic information, vegetation indices (VIs), and meteorological data for phenological monitoring and yield estimation of rice (Oryza sativa L.) por Fernandez Jibaja, Jorge Antonio, Atalaya Marin, Nilton, Álvarez Robledo, Yeltsin Abel, Taboada Mitma, Víctor Hugo, Cruz Luis, Juancarlos Alejandro, Tineo Flores, Daniel, Goñas Goñas, Malluri, Gómez Fernández, Darwin

“…These results underscore the potential of integrating multisource data with machine learning techniques for high-resolution phenological monitoring and varietal performance assessment.…”
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Recent Land Use and Land Cover Change Dynamics in the Gran Chaco Americano por Banchero, Santiago, De Abelleyra, Diego, Veron, Santiago Ramón, Mosciaro, Maria Jesus, Arévalos, Fabiana, Volante, Jose Norberto

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Talking water: interplay of gender, trust and expertise in agricultural extension groups in Mendoza, Argentina por Riera, Felix Sebastián, Hunecke, Claudia, Gennari, Alejandro J.

“…Research shows that the loss of information in several stages of its spread and learning from peers is more important than the knowledge circulated by extension services. …”
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Reflexiones en torno a la innovación tecnológica en la vitivinicultura de San Juan por Hernandez, Juan Jesus, Fili, Juan Pablo, Novello, Jose Raul, Battistella, Maximiliano

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Skolgårdskvalitet som kommunal fråga por Lindgren, Britt

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Hästägares kunskapsnivå och attityder angående hästutfodring por Gröndahl, Andrea

“…This is thereby the group that probably needs more information and knowledge. The interest to learn more about horse feeding was however high, which is promising and indicates that there is good chance of affecting and changing their attitudes.…”

Evaluation of Integrated Pest Management (IPM) adoption in potato production using the Sustainable Livelihoods Approach : a qualitative study from central Ecuador por Pellegrini, Fernando

“…IPM adoption carried out with participatory approaches could trigger experiential learning processes among farmers, enabling them to create valuable local knowledge, thus increasing their access to the human asset. …”

Study on cash transfers for seed security in humanitarian settings por Keane, Jules, Brick, Dina, Sperling, Louise

“…Cash, while not a new approach, has gained momentum in recent years, especially with the emergence of the Cash Learning Partnership (CaLP) and humanitarian organizations’ commitments through the Grand Bargain.2 Historically, direct seed distribution (DSD) has dominated agricultural responses in emergencies. …”
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Partnership for scaling up gender and nutrition-sensitive CSA II (P4S II) - 2020 Regional Annual Report por Bayala, Jules, Chabi, Adéyèmi

“…Merging the actions of BRAS-PAR and P4S I to become P4S II was done with the intention to use tools and evidence/lessons learned from the Climate-Smart Villages and other development activities, with existing and new partners through direct scientific support to decision makers (e.g., governments, civil society, and researchers) and capacity building to help bring CSA to scale. …”
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The central African soil spectral library: a new soil infrared repository and a geographical prediction analysis por Summerauer, L., Baumann, P., Ramírez Lopez, L., Barthel, M., Bauters, M., Bukombe, B., Reichenbach, M., Boeckx, P., Kearsley, E., Oost, K. van, Vanlauwe, Bernard, Chiragaga, D., Heri-Kazi, A., Moonen, P., Sila, A., Shepherd, K ., Mujinya, B.B., Ranst, E. van, Baert, G., Doetterl, S., Six, Johan

“…For the analysis, we selected six regions from the CSSL, for which we built predictive models for total carbon (TC) and total nitrogen (TN) using an existing continental SSL (African Soil Information Service, AfSIS SSL; n=1902) that does not include central African soils. Using memory-based learning (MBL), we explored three different strategies at decreasing degrees of geographic extrapolation, using models built with (1) the AfSIS SSL only, (2) AfSIS SSL combined with the five remaining central African regions, and (3) a combination of AfSIS SSL, the remaining five regions, and selected samples from the target region (spiking). …”
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Evaluation study of the IFPRI/A4NH research program on diet quality and health of the poor por Behrman, Jere R., Ghosh, Shibani

“…Key questions posed for the evaluation include: Did IFPRI/A4NH have the right research strategy and make appropriate adaptations based on internal learning, stakeholder and partner inputs, and evolving circumstances? …”
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Ethiopia Alive & Thrive Process Evaluation Survey 2013: Volunteer Community Health Promoters por International Food Policy Research Institute

“…The process evaluation (PE) is intended to answer one of the major learning objectives for the overall initiative, i.e., how A&T interventions achieve their impact. …”
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Networks and low adoption of modern technology: The case of pearl millet in Rajasthan, India por Birol, Ekin, Munasib, Abdul, Roy, Devesh

“…With adequate controls, greater intensity of interaction having a bearing on technology choice can only happen when there exists social learning (endogenous effect) and cannot be associated with other forms of social effects (namely, exogenous and correlated effects).– This paper finds evidence for the existence of endogenous social effects in adoption but largely from exclusionary channels. …”
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HER VOICE Newsletter fourth edition por Awinoh, Martha

“…WP EMPOWER designed and tested Socially Transformative Innovation Bundles (STIBs) across 11 learning labs in Africa and South Asia, targeting climate-smart agriculture and value chains. …”
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A Protocol for a Systematic Review of CGIAR’s Research (2012-2023) on Climate-Induced Extreme Rainfall and Floods por Chikozho, C., Managa L.R., Kujinga, K., Bosire, Caroline K., Mukherji, Aditi

“…As part of article selection, machine learning was deployed to semi-automate identification of existing relevant CGIAR literature from Nine CGIAR institution data repositories, specifically focusing on the impact of climate-induced extreme rainfall and floods on agricultural production and food security, with English being used as the main language. …”
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Agricultural Innovation in the Volta River Basin: An Analysis of Changes in Knowledge, Skills and Livelihoods brought about by the Volta Basin Development Challenge por Lasiter, Kalie, Tarrant, Anna

“…However, recent definitions of innovation in agricultural development, most notably the Agricultural Innovation Systems (AIS) definition, describe innovation as a systemic process resulting from extensive knowledge networks, interactive learning, and negotiations among a heterogeneous set of actors. …”
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Atender a la biodiversidad permitiría incorporar la valoración de servicios ecosistémicos intra finca por Portela, Jose Antonio, Debandi, Guillermo Oscar, Mastrantonio, Leandro, Aquindo, Natalia Soledad

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Temporally-Consistent Annual Land Cover from Landsat Time Series in the Southern Cone of South America por Graesser, Jordan, Stanimirova, Radost, Tarrio, Katelyn, Copati, Esteban J., Volante, Jose Norberto, Veron, Santiago Ramón, Banchero, Santiago, Elena, Hernan Javier, De Abelleyra, Diego, Friedl, Mark A.

“…To produce temporally-dependent land cover estimates—meaning land cover is predicted over time in connected sequences as opposed to predictions made for a given time period without consideration of past land cover—we use structured learning with conditional random fields (CRFs), coupled with a land cover augmentation method to produce time series training data and bi-weekly Landsat imagery over 20 years (1999–2018) across the Southern Cone region of South America. …”
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