Resultados de búsqueda - "learning"

Algunas herramientas bioinformáticas aplicadas a la fitopatología por Debat, Humberto Julio, Fernandez, Franco Daniel, Bejerman, Nicolas Esteban, Marquez, Nathalie

“…La reducción de costos en la secuenciación genómica ha permitido numerosos avances en agronomía, y también son interesantes las aplicaciones bioinformáticas en otras áreas específicas como el reconocimiento de enfermedades basado en imágenes, epidemiología sustentada en grandes datos que incluye recursos satelitales, clima, fitopatometría, inteligencia artificial y machine learning, genómica de bacterias y hongos patógenos, metabolómica y fenómica.…”
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Multimodal data integration to model, predict, and understand changes in plant biodiversity : a systematic review por Martinez, Emilce Soledad, Tejada-Gutiérrez, Eva, Sorribas, Albert, Mateo-Fornes, Jordi, Solsona, Francesc, Defacio, Raquel Alicia, Alves, Rui

“…We describe and analyze the role of Darwin Core standards in data standardization, harmonization, and interoperability, highlighting the importance of tools such as Species Distribution Models and machine learning. Additionally, we assess the tools available for multimodal data integration and analysis of the effects of environmental drivers (e.g., temperature, precipitation, topography) on biodiversity. …”
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Construyendo programas de educación y extensión rural sostenibles por Lopes, Sandro Wendell de Mont Serrat

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Arbetsgivares syn på nyutbildade maskinförares yrkeskunnande por Strandberg, Ludvig

Träningsmetoder för hund por Larsson, Linnéa

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Experimentos demostrativos como metodología de transferencia de tecnología agronómica en un marco de investigación participativa por Rojas Meza, María Elena, Chura Chuquija, Julián

“…The learning of the participants showed improvement in relation to the evaluation performed before each course, obtaining average grades of 12.71; 17 and 15.29. …”
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Implementación de Servicios Integrados Participativos de Clima para la Agricultura (PICSA) en el TESAC – El Tuma La Dalia Nicaragua por Giraldo Mendez, Diana Carolina, Aguilar, Amílcar, Toruño, Isabel, Quintero, Nelson José, Leguía Hidalgo, Efraín José

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Feed the future-usaid kenya accelerated value chain. Development program. Potato value chain. Six-year final report por International Potato Center

“…Over six years, 74,690 smallholder farmers were reached with AVCD agricultural and nutrition-related interventions, of whom 72,260 applied productivity-enhancing technologies following season-long practical training on learning farms hosted by farmer groups and led by government extension workers. …”
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Streamlining Climate Education to Tackle Climate Crisis: Call For Action to Empower Ethiopia’s Next Generation with Climate Knowledge and Build Resilience por Belay, Berhanu, Ambaw, Gebermedihin, Makonnen, Brook T., Amha, Yosef, Demissie, Teferi Dejene, Solomon, Dawit

“…Formal and formal education at each stage, from kindergarten to higher learning institutions, contributes to the effort to produce a climate-resilient and climate-literate society. …”
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Digital agricultural platforms and inclusivity: Access needs for user groups of the EzyAgric Platform in Uganda por Ajambo, Susan, Kikulwe, Enoch, Birachi, Eliud, Ogutu, Sylvester Ochieng

“…The study also identifies trust issues and the fear of misinformation as significant barriers, calling for community-based learning programs and targeted awareness campaigns. …”
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Synopsis: Rural household welfare in Papua New Guinea: Food security and nutrition challenges por Schmidt, Emily, Fang, Peixun, Mahrt, Kristi

“…High-level government dialogue and learning should aim to encourage greater coordination between local and federal government officials and across government departments to ensure improved nutrition outcomes for greater agricultural productivity and economic growth. …”
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Rwanda’s food systems transformation: A diagnostic of the public policy landscape shaping the transformation process por Dusingizimana, Petronille, Kazungu, Jules, Lalui, Armin, Milani, Peiman, Munanura, James, Nsabimana, Aimable, Sindi, Julius Kirimi, Spielman, David J., Umugwaneza, Maryse

“…Innovate on existing programs. 4. Allow for learning through both success and failure. 5. Invest in rigorous impact evaluation. …”
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Ethiopia Alive & Thrive Process Evaluation Survey 2013: Supervisors of Health Extension Workers por International Food Policy Research Institute

“…The process evaluation (PE) is intended to answer one of the major learning objectives for the overall initiative, i.e., how A&T interventions achieve their impact. …”
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Ethiopia Alive & Thrive Process Evaluation Survey 2013: Households por International Food Policy Research Institute

“…The process evaluation (PE) is intended to answer one of the major learning objectives for the overall initiative, i.e., how A&T interventions achieve their impact. …”
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Exploring school food provision programs and links to local foods in Pacific Island countries por Perry, J., Horsey, B., Raneri, Jessica, Hunter, Danny, O’Connor, S., Hyland-Wood, M., Casey, E., Burkhart, S.

“…This evidence can be used to develop a pathway to piloting and implementing models of school food provision programs and promoting opportunities for shared learning and collaboration with key stakeholders across the Pacific Islands region.…”
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Impact of Salinity on Agriculture of Ganges-Brahmaputra-Meghna Delta and Mekong delta por Islam, Md Feroz, de Miguel Garcia, Angel, van Scheltinga, Catharien Terwisscha, Gulpen, Marijn, Biemans, Hester, Mondal, Manoranjan, Urfels, Anton, Nelson, Katherine

“…Project salinity hotspot areas in the future (2050) for the scenario SSP1) RCP 4.5 (Representative Concentration Pathway), by using projection of water salinity from literatures and developing a machine learning model to predict future soil salinity; 3. …”
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Effect of adding milk to a micronutrient fortified high-energy biscuit school feeding programme in Yemen: A cluster-randomised controlled trial por Bliznashka, Lilia, Michail, Monica George, Elsabbagh, Dalia, Gelli, Aulo, Hamid Hossam Al-Qadi, Ahmed Abdel, Saif Al-Ariqi, Munir Hassan, Hanash Qasim, Wajdan Hanash, Qawi Al-Athouri, Saeed Abdul, Hamid Ahmed Abdullah, Majed Abdel, Ali Naji Iskandar, Samia Majed, Hamoud Al-Battah, Nazma Saleh, Hamid Mansour, Salah Fazaa, Mohammed Al-Saadi, Samar Saeed, Goel, Mayank, ElHelbawy, Sherif, Rahman Qasem, Adeeb Abdul, Bahader, Hussein, Al-Haj, Waleed Mohammed, Al-Qasus, Adnan Yahya, Ohiarlaithe, Micheal, Suliman, Hala, Ghimire, Pramila, AlSabahi, Mohammed, AlBasha, Muna, Alameri, Abdulhafeed, Akther, Shahida, Qahtani, Fadhl Abdullah, Basaleem, Mohammed, Hassan, Mustafa, Bawazir, Samah

“…Secondary outcomes were children’s cognition, learning, attendance, nutritional status, and health. …”
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Explicit engagement principles support the performance of agroecological living landscapes (ALLs) in terms of fostering transdisciplinary research and the co-design of solutions. P... por Fuchs, Lisa Elena, Triomphe, Bernard, Navarrete Cruz, Angela, Bergamini, Nadia, Piraux, Marc, Chimonyo, Vimbayi

“…Our research illustrates that ALLs can function as organizational vehicles that challenge the status quo, help to redistribute power, and foster co-learning and the co-design of innovations. Yet, their potential depends on participatory methods and approaches being genuinely applied to all aspects of ALL functioning. …”
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Co-creating water knowledge: a community perspective por Castelli, G., Howard, B. C., Adyel, T. M., AghaKouchak, A., Agramont, A., Aksoy, H., Alba, R., Alencar, P. H. L., Amanambu, A. C., Aslam, H., Bharati, L., Bos-Burgering, L., Bresci, E., Caramiello, C., Cavus, Y., Chaudhari, K., Chifflard, P., Choukrani, H., Chun, K. P., Cudennec, C., Cumiskey, L., Dakhlaoui, H., De Angeli, S., Madruga de Brito, M., Dembélé, Moctar, Dewals, B., Dussaillant J., A. R., Elshenawy, A., Gwapadza, D., Hall, C., Hermans, L., Höllermann, B., Jaramillo, F., Jomaa, S., Koren, G., Krause, S., Lahsaini, M., Mahé, G., Manfreda, S., Maynard, C., Mendiondo, E. M., Merheb, M., Nóbrega, R. L. B., Ocampo-Melgar, A., Olusola, A., Orduna Alegria, M. E., Owusu, Afua, Pacetti, T., Panchanathan, A., Panda, S., Piemontese, L., Pradhanaga, D., Ajin, R. S., Rusca, M., Scrolobig, A., Thaler, T., Tran, B. N., Trimi-Chifflard, D., Vanelli, F. M., Villani, L., Walker, D. W., Zarif, F., Buytaert, W., Ceperley, N.

“…Navigating the complexities of global and local water resources challenges requires collaboration and mutual learning among diverse knowledge systems and disciplines. …”
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AgWise: Modular decision support tools integrating data, models, and AI for site-specific agronomy and soil health management recommendations por Abera, Wuletawu, Mkuhlani, Siyabusa, Tibebe, Degefie, Assefa, Feben, Leroux, Louise, Seid, Jemal, Srivastava, Amit, Aguilar Ariza, Andres, Devkota Wasti, Mina, Ibrahim, Ali, Kouadio, Louis, Liben, Feyera, Llanos Herrera, Lizeth, Cherenet, Meklit, Corbeels, Marc, Kihara, Job, Vanlauwe, Bernard

“…Different analytical engines serve distinct roles - models ensure physical consistency; data-driven methods capture observed responses, rules enforce feasibility and safety, and AI supports integration, explanation, and learning. This modularity allows AgWise to operate across diverse crops, agroecologies, and data environments, while remaining transparent, adaptable, and scientifically auditable. …”
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