Resultados de búsqueda - "learning"

A process for participatory co-design of agroecological Transition pathways at the landscape and food system levels: a process for the articulation of action-research activities and lessons learned from early implementation por Frija, Aymen, Alary, Veronique, M'hamed, Hatem Cheikh, Rudiger, Udo, Idoudi, Zied, Bahri, Haithem, Ajmi, Larbi, Rekik, Mourad, Ouerghemmi, Hassen, Shiri, Zahra

“…Thirdly, facilitation and engagement of food system actors can lead to more conducive environments for the co-design of transition pathways that are well-appropriated by most actors, but the lack of good and neutral facilitators, as well as seed funds for public facilitation are major constraints. Collective learning and consolidation of social capital and collective cognitive capacities of food system actors are key elements leading to “intermediary outcomes” such as sustainable cooperation, partnership, etc., which can then lead to food system transformation. …”
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Comparative analysis of modified partial least squares regression and hybrid deep learning models for predicting protein content in Perilla (Perilla frutescens L.) seed meal using NIR spectroscopy por Kaur, Simardeep, Singh, Naseeb, Dagar, Preety, Kumar, Amit, Jaiswal, Sandeep, Singh, Binay K., Bhardwaj, Rakesh, Chand Rana, Jai, Riar, Amritbir

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State level stakeholder consultation on participatory groundwater governance in Madhya Pradesh, India: learnings from Atal Bhujal Yojana and Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) por Patidar, P., Bhattacharyya, S., Taneja, Garima, Bhattacharjee, Suchiradipta, Mitra, Archisman, Bhaduri, Tanmoy

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Joint village land use planning across administrative boundaries protects shared grazing lands and water points in Tanzania. Lessons learned from fifteen years of development and policy influencing por Flintan, Fiona, E., Kalenzi, D., Akilimali, A., Ngurumwa, P., Faustin, Z., Andalu, W.A., Olesikilal, B., Mkalawa, C.

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Uso de machine learning y un sensor de reflectancia del dosel proximal para predecir biomasa y calidad nutricional en forrajes tropicales (Urochloa humidicola) por Camelo, Rodrigo Andres, Espitia Buitrago, Paula, Jauregui, Rosa

Materias: “…machine learning…”
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Everything you ever wanted to know about sweetpotato: Reaching agents of change ToT manual. 1: Helping adults to learn. Origin and importance of sweetpotato. Sweetpotato varietal selection and characteristics por Stathers, T., Low, Jan W., Carey, T., Mwanga, Robert O.M., Njoku, J., Tumwegamire, Silver, Malinga, J., Andrade, M.I.

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Lessons learned from the content development stream of the mNutrition initiative: Quality assurance and quality control processes as a part of mNutrition’s aim to produce high-quality content por CAB International

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Aerial Monitoring of Rice Crop Variables using an UAV Robotic System por Devia, Carlos Andres, Rojas Bustos, Juan Pablo, Petro, Eliel E., Mondragon, Iván Fernando, Patino, D., Rebolledo, C., Colorado, Julian D.

Materias: “…machine learning…”
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Data-driven similar response units for agricultural technology targeting: An example from Ethiopia por Tamene, Lulseged D., Abera, Wuletawu, Bendito, Eduardo, Erkossa, Teklu, Tariku, Meklit, Sewnet, Habtamu, Tibebe, Degefie, Sied, Jema, Feyisa, Gudina, Wondie, Menale, Tesfaye, Kindie

Materias: “…machine learning…”
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Successful pilot on Index Based Flood Insurance in Indian state of Bihar, informs policy makers and development agencies for scaling. por CGIAR Research Program on Climate Change, Agriculture and Food Security

Materias: “…learning…”
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Launched a collection of outputs on how to design nutrition-sensitive value chain (NSVC) projects por CGIAR Research Program on Agriculture for Nutrition and Health

Materias: “…learning…”
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Crop monitoring in smallholder farms using unmanned aerial vehicles to facilitate precision agriculture practices: a scoping review and bibliometric analysis por Gokool, S., Mahomed, M., Kunz, R., Clulow, A.D., Sibanda, M., Naiken, V., Chetty, K., Mabhaudhi, Tafadzwanashe

Materias: “…machine learning…”
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Digital innovation with miniSASS, a citizen science biomonitoring tool por Pattinson, N. B., Russell, C., Taylor, J., Dickens, Chris W. S., Koen, R. C. J., Koen, F. J., Graham, P. M.

Materias: “…machine learning…”
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Aplicación en la agricultura de técnicas de explicabilidad del aprendizaje de máquinas: Aclarando la caja negra por Jaimes, Diana, Gonzalez, Carlos Arturo, Llanos, Lizeth, Estrada, Oscar, Barrios, Camilo, Agudelo, Diego, Navarro Racines, Carlos, Jimenez, Daniel, Gardeazabal, Andrea, Ramírez Villegas, Julián Armando

Materias: “…machine learning…”
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Comparative analysis of rice grain quality and climate change impacts in temperate production zones from an Australian rice industry perspective por Fernando, Yvonne, Ovenden, Ben, Sreenivasulu, Nese, Butardo, Vito

Materias: “…machine learning…”
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Facilitating change from the inside: adaptive collaborative management in the Philippines por Hartanto, H.

Materias: “…social learning…”
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Conectando Islas de Éxito por Lundy, Mark M., Victoria, Paola

Materias: “…learning…”
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La Experiencia de SNV Honduras en la Alianza por Vander Heyden, Damien

Materias: “…learning…”
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La Experiencia de Save the Children en la Alianza por Lara, Héctor

Materias: “…learning…”
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La Experiencia de Oxfam GB en la Alianza por Vargas, Carlos E

Materias: “…learning…”
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