Search Results - "Learning"

ICTforAg 2024: Virtual day session. Monitoring food security trends in digital spaces: A multi-platform approach to nowcast food insecurity by Carneiro, Bia, Tucci, Giulia, Resce, Giuliano, Johnson, Kiersten, Caravaggio, Nicola

Subjects: “…machine learning…”
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Strengthening facilitation competencies in development: processes, challenges and lessons of a learning alliance to develop facilitators for local community engagement by Lefore, Nicole

Subjects: “…learning…”
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Análisis colectivo sobre un módulo móvil de producción de huevos de gallinas libres de jaula, como tecnología adecuada para la Agricultura Familiar en la provincia de Buenos Aires,... by Marcozzi, Paula, Liljesthröm, Verónica, Gamietea, Ignacio José

Subjects: “…Collective Learning…”
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Identificación de zonas afectadas por sales en el Centro Sur de Córdoba usando Google Earth Engine by Gentili, Nicolás, Bocco, Joaquín, Micheloud, Elizabeth, Videla Mensegue, Horacio Rogelio, Córdoba, Mariano

Subjects: “…Machine Learning…”
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Can call detail records provide insights into women's empowerment? A case study from Uganda by Slavchevska, Vanya, Tyszler, Marcelo, Burra, Dharani Dhar, Seymour, Greg, Sementsov, Denys, Lierde, Astrid van, King, Brian

Subjects: “…machine learning…”
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Using the learning alliance approach to develop national and sub national policies e.g climate change guidelines for the Ministry of Agriculture, Animal Industry and Fisheries by CGIAR Research Program on Climate Change, Agriculture and Food Security

Subjects: “…learning…”
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Evaluation of a water management training program in Tajikistan leads to redesign to target women farmers and informs Feed the Future Learning Agenda(WLE-IWMI) by CGIAR Research Program on Water, Land and Ecosystems

Subjects: “…learning…”
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Physics-informed machine learning algorithms for forecasting sediment yield: an analysis of physical consistency, sensitivity, and interpretability by El Bilali, A., Brouziyne, Youssef, Attar, O., Lamane, H., Hadri, A., Taleb, A.

Subjects: “…machine learning…”
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Transforming Ethiopian agriculture: Validating and scaling site-specific fertilizer recommendations to 72,000+ farmers via digital advisory. by Desta, Lulseged Tamene, Mesfin, Tewodros, Abera, Wuletawu, Degefie, Tibebe, Ebrahim, Mohammed, Tilaye, Asmalu, Chernet, Meklit Tariku, Merga, Feyera, Desalegn, Temesgen, Yitaferu, Birru Woldetsadik

Subjects: “…machine learning…”
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Predicting Risk of Ammonia Exposure in Broiler Housing: Correlation with Incidence of Health Issues by Barbosa, Leonardo V. S., da-Silva-Lima, Nilsa D., Granja-Barrios, Juliana-de-Souza, de-Moura, Daniella J., Estellés, Fernando, Ramón-Moragues, Adrián, Calvet-Sanz, Salvador, Villagrá, Arantxa

Subjects: “…machine learning…”
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Assessing the biophysical factors affecting irrigation performance in rice cultivation using remote sensing derived information by Sawadogo, A., Dossou-Yovo, Elliott Ronald, Kouadio, L., Zwart, Sander J., Traoré, F., Gundogdu, K. S.

Subjects: “…machine learning…”
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Agricultura digital y servicios agroclimáticos: Modernizando los servicios de extensión en el sector arrocero para mejorar la adaptación al clima by Barrios Perez, Camilo

Subjects: “…machine learning…”
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Semantic Web and social web heading towards living documents in the life sciences by García Castro, A., Labarga, A, García, Leyla, Giraldo, O, Montana, C, Bateman, JA

Subjects: “…learning…”
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Strengthening capacity to achieve Eco-Efficiency through agricultural research for development by Staiger Rivas, Simone, Álvarez, S., Ashby, Jacqueline A., Lundy, Mark M., Muthoni Andriatsitohaina, Rachel, Victoria, P.A., Quiróz, C.A., Sette, Cristina, Rajasekharan, Maya, Russell, N.

Subjects: “…learning…”
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Formulate equitable climate-smart agricultural policies by Ampaire, Edidah L., Acosta, Mariola, Mwongera, Caroline, Läderach, Peter R.D., Eitzinger, Anton, Lamanna, Christine, Mwungu, Chris Miyinzi, Shikuku, Kelvin Mashisia, Twyman, Jennifer, Winowiecki, Leigh Ann

Subjects: “…learning…”
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A comparison between support vector machine and water Cloud model for estimating crop leaf area index by Hosseini, Mehdi, McNairn, Heather, Mitchell, Scott, Robertson, Laura Dingle, Davidson, Andrew, Ahmadian, Nima, Bhattacharya, Avik, Borg, Erik, Conrad, Christopher, Dabrowska Zielinska, Katarzyna, De Abelleyra, Diego, Gurdak, Radoslaw, Kumar, Vineet, Kussul, Nataliia, Mandal, Dipankar, Rao, Y.S., Saliendra, Nicanor, Shelestov, Andrii, Spengler, Daniel, Veron, Santiago Ramón, Homayouni, Saeid, Becker Reshef, Inbal

Subjects: “…Machine Learning…”
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Learning networks in innovation systems at sector / regional level in Argentina: Winery and dairy industries by Sanchez, Guillermo, Bisang, Roberto Oscar

Subjects: “…Learning…”
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Multi-scale governance and data for sustainable development by Pastor Escuredo, David, Gardeazábal Monsalve, Andrea, Koo, Jawoo, Imai, Asuka, Treleaven, Philip

Subjects: “…federated learning…”
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Yield prediction, pest and disease diagnosis, soil fertility mapping, precision irrigation scheduling, and food quality assessment using machine learning and deep learning algorith... by Ajith, S., Vijayakumar, S., Elakkiya, N.

Subjects: “…machine learning…”
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Updating high-resolution image dataset for the automatic classification of phenological stage and identification of racemes in Urochloa spp. hybrids with expanded images and annota... by Arrechea-Castillo, Darwin Alexis, Espitia-Buitrago, Paula, Florian-Vargas, David, Estupinan, Ronald David, Velázquez-Hernández, Riquelmer, Ruiz-Hurtado, Andres Felipe, Hernandez, Luis Miguel, Jauregui, Rosa Noemi, Cardoso, Juan Andres

Subjects: “…machine learning…”
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