Search Results - Learning Evaluation.

Implementing Cloud Computing for the Digital Mapping of Agricultural Soil Properties from High Resolution UAV Multispectral Imagery by Pizarro, S., Pricope, N.G., Figueroa, D., Carbajal, C., Quispe, M., Vera, J., Alejandro, L., Achallma, L., Gonzalez, I., Salazar, W., Loayza, H., Cruz, J., Arbizu, C.I.

“…The prediction ability of several machine learning algorithms (CART, XGBoost, and Random Forest) was evaluated using R2, to select the best predicted maps (R2 > 0.80), for ten soil properties, including Lime, Clay, Sand, N, P, K, OM, Al, EC, and pH, using multispectral imagery and derived products such as spectral indices and a digital surface model (DSM). …”
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Social learning evidence gathering workshop June (Instagram photos) by CGIAR Research Program on Climate Change, Agriculture and Food Security

“…In an effort to gather the needed evidence for social learning, International Institute for Environment and Development (IIED) organised a workshop together with the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) in June, together with other partners, to present real-life social learning case studies from across the globe while evaluate a social learning monitoring and evaluation framework. …”
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Evaluación de la incorporación de una interfaz web a un dispositivo de medición de temperatura utilizado en INTA – IPAF Pampeano by Franceschi, Luis Alberto

Subjects: “…Monitoring and Evaluation…”
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Innovation approaches—Collective learning from the Fodder Adoption Project by Puskur, Ranjitha

“…There seems to be a big agenda here for further research and learning.…”
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Experiential Learning for Groundwater Governance in India: Groundwater Game Surveys by International Food Policy Research Institute, Foundation for Ecological Security, International Crops Research Institute for the Semi-Arid Tropics

“…The Scaling up experiential learning tools for sustainable water governance project aims to enhance the capacity of Indian communities to sustainably manage water resources. …”
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Monitoring and Evaluation of Innovation Platforms by International Livestock Research Institute

“…Design and pilot processes and tools for monitoring and evaluating the impact of innovation platforms. To learn more about this dataset, please visit the ILRI Dataset Portal http://data.ilri.org/portal/dataset/innovation_platform_m_e…”
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An Evaluation of the ISPC Science Fora by CGIAR Independent Science and Partnership Council

“…The purpose of this evaluation was to gauge the extent to which the SFs met their objectives, document their merits and shortcomings and detail the major lessons learned.…”
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Evaluating Organizational Capacity Development by Mackay, Ronald, Horton, Douglas, Dupleich, Luis, Andersen, Anders

“…and What lessons can we learn to improve future capacity development efforts and their evaluation?…”
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Mango varietal discrimination using hyperspectral imaging and machine learning by Castro, Wilson, Tene, Baldemar, Castro, Jorge, Guivin, Alex, Ruesta Campoverde, Nelson Asdrubal, Avila George, Himer

“…Hyperspectral imaging coupled with machine learning techniques presents a promising approach for varietal discrimination. …”
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Chemotactile perception and associative learning of amino acids in yellowjacket workers by Mattiacci, Analia, Pietrantuono, Ana Laura, Corley, Juan Carlos, Masciocchi, Maite

“…These findings indicate that V. germanica foragers can qualitatively evaluate amino acid solutions, which translates into a natural ability to discern and learn from food sources with varying nutritional qualities. …”
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Online fitted policy iteration based on extreme learning machines by Escandell-Montero, Pablo, Lorente, Delia, Martínez-Martínez, José M., Soria-Olivas, Emilio, Vila-Francés, Joan, Martín-Guerrero, José D.

“…The proposed method has been empirically evaluated in three benchmark problems. During the experiments, OFPI has employed a neural network trained with the extreme learning machine algorithm to approximate the value functions. …”
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Smart Toolkit for Evaluating Information Projects, Products and Services: Second Edition: Part III Evaluation Tools by Technical Centre for Agricultural and Rural Cooperation, Inter-American Institute for Cooperation on Agriculture, Royal Tropical Institute

“…In Part 3 we look at the evaluation tools.The tools featured here are those that we consider to be well suited to evaluating information projects, products and services.With the increasing demand for information practitioners to evaluate their projects themselves, and not rely on external evaluations, the tools chosen are also seen as suitable for self-evaluation and for fostering learning and stakeholder participation...…”
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Culture of impact in agricultural research organisations: What for and how? by Ferré, Marie, Blundo-Canto, Genowefa, Stachetti Rodrigues, Geraldo, Ramírez-Gómez, María-Margarita, Vedovoto, Graciela Luzia, Agudelo-Chocontá, Beatriz-Elena, Marques, Daniela Vieira, Flores, Roberto Manolio Valladão, Rodríguez-Borray, Gonzalo-Alfredo, de Souza, Mirian Oliveira, Goulet, Frédéric, Vásquez-Urriago, Ángela-Rocío, Sánchez-Lozano, Juliana-Ivonne, Pinto, Daniela Maciel, Zambrano-Moreno, Gregorio-Salomón, Londoño-Arias, María-Aidé, Zapata-Tamayo, Cristóbal-Alfonso, de Romémont, Aurelle

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Evidence for action: A One Health learning platform on interventions to tackle antimicrobial resistance by Wernli, D., Jørgensen, P.S., Parmley, E.J., Troell, M., Majowicz, S., Harbarth, S., Léger, A., Lambraki, I., Graells, T., Henriksson, Patrik J.G., Carson, C., Cousins, M., Ståhlgren, G.S., Mohan, C.V., Simpson, A.J.H., Wieland, Barbara, Pedersen, K., Schneider, A., Chandy, S.J., Wijayathilaka, T.P., Delamare-Deboutteville, Jerome, Vila, J., Lundborg, C.S., Pittet, D.

“…Within the efforts to strengthen the global governance of antimicrobial resistance, we advocate for the creation of an international One Health platform for online learning. The platform will synthesise the evidence for actions on antimicrobial resistance into a fully accessible database; generate new scientific insights into the design, implementation, evaluation, and reporting of the broad range of interventions relevant to addressing antimicrobial resistance; and ultimately contribute to the goal of building societal resilience to this central challenge of the 21st century.…”
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Estimation of soybean grain yield from multispectral high-resolution UAV data with machine learning models in west Africa by Alabi, T.R., Abebe, A.T., Chigeza, G., Fowobaje, K.R.

“…Hence, this work aims to investigate machine learning (ML) models and Unmanned Aerial vehicles (UAVs) to aid rapid high throughput phenotypic workflow for soybean yield estimation. …”
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Reflections on monitoring and evaluating climate adaptation by Nowak, Andreea C., Rosenstock, Todd S.

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Transforming impact assessment : Beginning the quiet revolution of institutional learning and change by Watts, J., Horton, D., Douthwaite, Boru, La Rovere, R., Thiele, Graham, Prasad, S, Staver, Charles

“…It is testing approaches for expanding the contributions of impact assessment and evaluation to learning, decision making and improvement.…”
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Impact evaluation methods: Qualitative Methods by Wollenberg, Eva Karoline

“…Presentation by Lini Wollenberg, Low Emissions Development Leader, CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) at the Green Climate Fund Independent Evaluation Unit Learning-Oriented Real-Time Impact Assessment (LORTA) Program Inception Workshop July 24-26, 2018 Bangkok, Thailand…”
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Application of the Quality of Research for Development Framework to Initiative Reviews: Lessons Learned by CGIAR Independent Science for Development Council

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The effect of teacher training and community literacy programming on teacher and student outcomes by Chimbutane, Feliciano, Karachiwalla, Naureen, Herrera-Almanza, Catalina, Leight, Jessica, Lauchande, Carlos

“…Our findings are aligned with the growing consensus that more intensive school- and/or community-based interventions are required to meaningfully improve learning.…”
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