Search Results - "learning"

South-South Workshop on Climate Change and Food Security for Africa by CGIAR Research Program on Climate Change, Agriculture and Food Security

“…From July 21th to 25th, delegates from Kenya, Senegal and Ghana visited Colombia in a South-South exchange, learning from the experience of Colombia in adapting to climate change. …”
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Science Meeting 2013, Bodega Bay (USA) by CGIAR Research Program on Climate Change, Agriculture and Food Security

“…The 2013 science meeting aimed to showcase past and on-going participatory work and experiences from CCAFS and the wider CGIAR, and develop ways in which participatory (social learning) approaches could inform and improve current and future CCAFS work. …”
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West Africa Farmers Innovation Fair FIPAO by CGIAR Research Program on Climate Change, Agriculture and Food Security

“…This event aimed to draw attention to farmer innovation and the role of peasant producers in agricultural research, and to facilitate interaction, linkages and learning between all relevant actors. It also helped promote family farming through the development of innovative farmers.…”
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Africa RISING in the Ethiopian highlands: Experiences on Sustainable Agricultural Intensification (SAI) by Mekonnen, Kindu, Thorne, Peter J.

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CIMMYT smallholder's mechanization strategy for sustainable intensification agriculture by Yahaya, R., Mupangwa, W., Tadesse, E., Baudron, Frédéric

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Aqua-based business school with gender and climate perspective by International Potato Center

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Governing the landscape: potential and challenges of integrated approaches to landscape sustainability in Indonesia by Riggs, R.A., Achdiawan, R., Nawir, A.A., Boedhihartono, Agni K., Kastanya, A., Langston, James D., Priyadi, H., Ruíz Pérez, M., Sayer, J., Tjiu, A.

“…We highlight the need to document and measure impact, and the potential for future learning from landscape sustainability science.…”
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Outcome Harvesting in a Climate-Smart Village: The Case of Guinayangan, Quezon, Philippines (2014-2020) by Limsuan, Anne A, Ferrer, Alice Joan G

“…Significantly, the CSV became a learning platform to farmers – experiences and knowledge were gained and spread not only within their learning groups, but also to other farmers, community organizations, and local executives in the municipality. …”
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Climate change effects on pathogen emergence: Artificial intelligence to translate big data for mitigation by Garrett, K.A., Bebber, D.P., Etherton, B.A., Gold, K.M., Plex Sulá, A.I., Selvaraj, Michael G.

“…Most of these tools can be improved using new advances in artificial intelligence (AI), such as machine learning to integrate massive data sets in predictive models. …”
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Evaluation of the CGIAR Research Program on Aquatic Agricultural Systems by Birner, Regina, Bhujel Ram, Rathgebe Eva M., Sumberg James, Sriskandarajah Nadarajah, Sury Felix von

“…The program uses a very distinct approach that includes research in development and learning about processes for delivering development outcomes in aquatic agriculture systems. …”
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Training and field report: Identifying and measuring the effectiveness of different combination of socio-technical innovation bundles on empowerment and resilience in Kenya by Ingasia, Oscar Ayuya, Otieno, Arnold Jong, Okutoyi, Getrude Alworah, Nchanji, Eileen Bogweh, Lutomia, Cosmas Kweyu, Waswa, Boaz Shaban, Ouya, Fredrick Ochieng

“…The study was conducted by the Harnessing Gender and Social Equality for Resilience in Agrifood Systems (HER+) initiative in collaboration with UU in the context of the UU learning sites and HER+ learning labs. The UU initiative aims to support climate-resilient agriculture and livelihoods in 12 countries in East and Southern Africa by helping millions of smallholders intensify, diversify and reduce the risks in maizebased farming through improved extension services, small and medium enterprise development, supporting governance frameworks and increased investment with a gender and social inclusion lens. …”
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Developing and Evaluating Capacity in Research and Development Organizations by Horton, Douglas, Alexaki, Anastasia, Bennett-Lartey, Samuel, Brice, Kim N., Campilan, Dindo, Carden, Fred, Souza Silva, José de, Le Thanh Duong, Khadar, Ibrahim, Maestrey Boza, Albina, Kayes Muniruzzaman, Imrul, Perez, Jocelyn, Somarriba Chang, Matilde, Vernooy, Ronnie, Watts, Jamie

“…This Briefing Paper explains how the project used an action-learning approach, bringing together people from various countries and different types of organizations. …”
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Impact of gender targeting in ICT hubs: Cluster randomized controlled trial in Malawi by Ragasa, Catherine

“…A combination of digital agricultural extension services and facilitation of group learning 50 BOOK OF ABSTRACTS through ICT hubs is being piloted in Malawi under the Scaling Up Radio and ICTs for Enhanced Extension Delivery (SRIEED) II project. …”
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Using the project-level Women’s Empowerment in Agriculture Index for Market Inclusion (pro-WEAI+MI) by Go, Ara, Paz, Florencia, Raghunathan, Kalyani, Ray, Soumyajit

“…Overall, participants who complete this learning lab will be prepared to use proWEAI+MI in their studies. …”
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COVID-19 and food (in)security in Africa: Review of the emerging empirical evidence by Tabe-Ojong, Martin Paul Jr., Nshakira-Rukundo, Emmanuel, Gebrekidan, Bisrat Haile

“…We end with a discussion on some potential interesting areas where future efforts can be geared to improve learning on the relationship between COVID-19, food insecurity, and building resilience to shocks.…”
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The Impact of Cash and Food Transfers Linked to Preschool Enrollment on Child Nutrition and Cognitive Outcomes by International Food Policy Research Institute

“…School feeding programs provide students meals conditional on school attendance, which can have impacts on school participation, cognition and learning, and nutritional outcomes. Although the literature on impacts of school feeding programs is substantial, high quality studies with evaluation designs that provide causal impact estimates are relatively few. …”
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Agricultural digital plot: Capacity building for innovation in Guatemala’s dry corridor by Ramos, Gresia Dalal, Jimenez, Daniel Ricardo, Lizarazo, Miguel, Martinez, Jesus David, Bonilla, Melissa, Estrada Vargas, Oscar, Munoz, Luis Armando

“…Together, they have created a space for learning, exploration, and technology validation focused on the agri-food sector in Chiquimula, one of the most vulnerable departments in Guatemala’s Dry Corridor. …”
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National Mainstreaming Workshop on Climate Risk Management in Agricultural Extension (CRMAE) for Ethiopia by Belay, Berhanu, Ambaw, Gebermedihin, Amha, Yosef, Dinku, Tufa, Hansen, James, Demissie, Teferi, Solomon, Dawit

“…The program development regarding occupational standards, curriculum, and TTLM is also a learning experience that can be translated into any training program, including short-term courses. …”
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Predicting agronomic traits and associated genomic regions in diverse rice landraces using marker stability by Orhobor, Oghenejokpeme I., Alexandrov, Nickolai N., Chebotarov, Dmytro, Kretzschmar, Tobias, McNally, Kenneth L., Sanciangco, Millicent D., King, Ross D.

“…For trait prediction, we considered several statistical/machine learning methods. We found that some of the methods considered performed best when preselected markers using marker stability were used. …”
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Free online trainings on soil health monitoring with satellite based remote sensors by Huq, Rafiq, Lesueur, Didier

“…Each session featured three one-hour lectures as outlined below: 1. « Earth Observation and Soil Health: Where Innovation Meets Practice » - Focus: The origins and development of Earth Observation (EO) technology, its applications innatural sciences and soil health monitoring, as well as its opportunities and limitations. 2. « Satellite-Based Remote Sensing: How Earth Observation Enhances Soil Health Monitoring » - Focus: Various remote sensing (RS) technologies, their application in soil data collection, and the role of RS data in monitoring soil health. 3. « From Data to Decisions: Translating Remote Sensing Insights into Practical Soil Health Solutions » - Focus: AI-based agricultural informatics, the use of machine learning in data analysis and automation, and the importance of baseline data for machine learning algorithms.…”
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