Resultados de búsqueda - "learning"

Predicting high-magnitude, low-frequency crop losses using machine learning: An application to cereal crops in Ethiopia por Mann, Michael L., Warner, James, Malik, Arun S.

Materias: “…machine learning…”
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Pixels to pasture: Using machine learning and multispectral remote sensing to predict biomass and nutrient quality in tropical grasslands por Zwick, Mike, Cardoso, Juan Andres, Gutiérrez-Zapata, Diana María, Cerón-Muñoz, Mario, Gutiérrez, Jhon Freddy, Raab, Christoph, Jonsson, Nicholas, Escobar, Miller, Roberts, Kenny, Barrett, Brian

Materias: “…machine learning…”
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Proceedings of the National Workshop on Experience Sharing in Landscape Restoration Research implemented by Higher Learning Institutions (HLIs) in Ethiopia por Adimassu, Zenebe, Belay, Berhanu, Tamene, Lulseged D., Tibebe, Degefie, Abera, Wuletawu

“…Ethiopian higher learning institutions have made significant progress in land restoration projects, showcasing their commitment to environmental sustainability and biodiversity enhancement. …”
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Price dynamics for agriculture and nutrition policy: An advanced learning event organized by the International Food Policy Research Institute por Benimana, Gilberthe Uwera, Warner, James

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Adoption of weather-index insurance: Learning from willingness to pay among a panel of households in rural Ethiopia por Hill, Ruth Vargas, Hoddinott, John F., Kumar, Neha

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An economic evaluation of adaptive e-learning devices to promote weight loss via dietary change for people with obesity por Miners, Alec, Harris, Jody, Felix, Lambert, Murray, Elizabeth, Michie, Susan, Edwards, Phil

Materias: “…distance learning…”
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Adoption of weather index insurance: Learning from willingness to pay among a panel of households in rural Ethiopia por Hill, Ruth Vargas, Hoddinott, John F., Kumar, Neha

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Adoption of weather index insurance: Learning from willingness to pay among a panel of households in rural Ethiopia por Hill, Ruth Vargas, Hoddinott, John F., Kumar, Neha

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Learning from the licensing of a papaya variety developed by the public sector in Costa Rica: A case study por Salazar, Silvia, Jiménez, Luis, Falck-Zepeda, José B.

“…The goal of the present case study is to describe the process that the University of Costa Rica's Office for Knowledge Management and Transfer (PROINNOVA) undertook to license the seeds of a new papaya variety, named Pococi, developed jointly by the University of Costa Rica (UCR) and the National Institute for Agricultural Technology (INTA, for its acronym in Spanish) from Costa Rica, in order to understand the institutional challenges that must be addressed by potential license seeking organizations in Costa Rica to ensure successful transactions. Learning from the multiple experiences dealing with the licensing context in this case study will certainly help ensure maximizing the benefits from licensing while minimizing costs and risks from such activity in Costa Rica.…”
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Examining the water- energy-food security- ecosystem nexus approach in Nepal: Learning from some case studies por Shrestha, Anita, Shrestha, Anushiya, Bhuju, Dinesh, Shankar Bhandari, Gauri, Thapa, Kaustubh, Pokharel, Kushal, Bohara, Meena, Roy, Robindra, Dhakal, Sagar, Ranjitkar, Sailesh

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Formal and informal systems in support of farmer management of agro-biodiversity: some policy challenges to consolidate lessons learned por Byström, Marie

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Learnings from a study with community leaders in Mali on local governance, anticipatory action, and crisis exposure and recovery por Kyle, Jordan, Bleck, Jaimie, Carillo, Lucia, Gottlieb, Jessica, Kosec, Katrina, Soumano, Moumouni

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Lessons learned from the dragon (China) and the elephant (India): Essays from IFPRI's 2004-2005 Annual Report por von Braun, Joachim, Gulati, Ashok, Fan, Shenggen, Ahluwalia, Montek S., Liu, Jian

“…These three essays compare the experiences of China and India to learn what steps each country took and what lessons they each have to offer.…”
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Modeling multiple phenotypes in wheat using data-driven genomic exploratory factor analysis and Bayesian network learning por Momen, Mehdi, Bhatta, Madhav, Hussain, Waseem, Yu, Haipeng, Morota, Gota

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Learning From Six Reasons Why Farmers Do Not Adopt Innovations Intended to Improve Sustainability of Upland Agriculture por Fujisaka, Sam

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Narrating stories of change: women recounts how STIBs implementation has changed their lives in WB learning labs por Puskur, Ranjitha, Gartaula, Hom Nath, Mukhopadhyay, Prama, Chadha, Deepali

“…Caption: This video highlights the transformative impact of the CGIAR Initiative on Gender Equality through the voices and narratives of two women farmers from the learning labs in West Bengal, India. It demonstrates how the context-specific socio-technical innovation bundles, designed and implemented as part of the EMPOWER Work Package, have increased women’s agency, enhanced their resilience to climate change and strengthened their role in the agri-food system. …”
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Addressing salinity intrusion in the polders of coastal Bangladesh: predictive machine-learning modeling for strategic sluice gate operations por Behera, Abhijit, Sena, Dipaka Ranjan, Hasib, Md. R., Matheswaran, Karthikeyan, Jampani, Mahesh, Mizan, Syed Adil, Islam, Md. J., Alam, R., Mondal, M. K., Sikka, Alok

Materias: “…machine learning…”
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Advancing food security: rice yield estimation framework using time-series satellite data & machine learning por Tiwari, Varun, Thorp, Kelly, Tulbure, Mirela G., Gray, Joshua, Kamruzzaman, Mohammad, Krupnik, Timothy J., Sankarasubramanian, A., Ardon, Marcelo

Materias: “…machine learning…”
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D4N2024 Resources – Learning Lab 2a: Qualitative Data Handling in Nutrition Research por Silva, Renuka, Ranathunga, Thilanka, Perera, Thushanthi, Sitisekara, Hasara

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Net-Map: Collecting social network data and facilitating network learning through participatory influence network mapping por Schiffer, E., Hauck, J.

“…The authors describe how to use Net-Map,1 a low-tech, low-cost, interview-based mapping tool that can be used by researchers, facilitators, and implementers to (1) visualize implicit knowledge and understand the interplay of complex formal and informal networks, power relations, and actors’ goals; (2) uncover sources of conflicts as well as potentials for cooperation; (3) facilitate knowledge exchange and learning processes; and (4) develop visions and strategies to achieve common goals. …”
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