Resultados de búsqueda - Open learning.

How farmer videos trigger social learning to enhance innovation among smallholder rice farmers in Uganda por Karubanga, G., Kibwika, P., Okry, F., Sseguya, H.

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Discrimination of common defects in loquat fruit cv. ‘Algerie’ using hyperspectral imaging and machine learning techniques por Munera, Sandra, Gómez-Sanchís, Juan, Aleixos, Nuria, Vila-Francés, Joan, Colelli, Giancarlo, Cubero, Sergio, Soler, Esteban, Blasco, José

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Assessing spatial suitability for agricultural mechanization in Ethiopia using expert-based and data-driven approaches por Gebrekidan, Bisrat Gebrekidan, Tadesse, Ephrem, Sida, Tesfaye Shiferaw

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Scaling readiness: Learnings from applying a novel approach to support scaling of food system innovations por Schut, Marc, Leeuwis, Cees, Sartas, Murat, Taborda Andrade, Luis Alejandro, Etten, Jacob van, Müller, Anna, Tran, Thierry, Chapuis, Arnaud, Thiele, Graham

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The ALS gene as genetic target in CRISPR/ cas approaches: what have we learned so far? por Darqui, Flavia Soledad, Hopp, Horacio Esteban, Lopez Bilbao, Marisa Gisela

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Aid effectiveness and capacity development: Implications for economic growth in developing countries por Sanyal, Prabuddha, Babu, Suresh Chandra

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Application of explainable AI techniques to site-specific and climate-smart management of maize systems in Colombia por Jaimes, Diana, Estrada, Oscar, Gonzalez, Arturo, Llanos Herrera, Lizeth, Ramirez Villegas, Julian

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Scaling Week 2024 por CGIAR System Organization, Schneidt, Agnes, MacMillan, Susan, Buono, Nicoletta

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Digital Soil Mapping and Soil Quality Index Development for Malawi: Spatial Insights for Sustainable Land Management por Patil, Mukund, Choudhari, Pushpajeet L., Botoman, Lester, Agengnehu, Getachew, Desta, Gizaw

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Operations research and machine learning to manage risk and optimize production practices in agriculture: good and bad experience por Cock, James H., Jiménez, Daniel, Dorado, Hugo, Oberthür, Thomas

“…The definition of HECs facilitated the identification of either individual farmers who managed their crops well within individual HECs or combinations of management practices well suited to the specific spatiotemporal environmental conditions. This opens the way for farmers to learn better agricultural practices from others in the same HEC. …”
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Integrating Earth Observation, Machine Learning and Citizen Science to Map Prosopis juliflora Invasion in Semi-Arid Rangelands of Kenya por Cherotich, Fredah, Galgallo, Diba, Dhulipala, Ram, Whitbread, Anthony M, Paliwal, Ambica

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A protocol for measuring disease resistance to Cassava Bacterial Blight, using machine-learning image analysis por Pardo, Juan Manuel, Jiménez Polo, Jenyfer, Rodríguez, Rafael, Leiva Sandoval, Ana Maria, Cuéllar, Wilmer Jose

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A simple algorithm outperforms a machine learning approach for quantifying spittlebug damage in tropical grasses por Ruiz-Hurtado, Andres Felipe, Espitia, Paula, Cardoso, Juan Andres, Jauregui, Rosa Noemi

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A critical synthesis of remote sensing and machine learning approaches for climate hazard impact on crop yield por Obahoundje, Salomon, Tilahun, Seifu A., Zemadim, Birhanu, Schmitter, Petra

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Using Stakeholder Cognitive Maps to Inform the Implementation of IRRI’s HER+ West Bengal Livestock Learning Lab por Goswami, R., Singh, K., Mukhopadhyay, P., Chadha, D., Puskur, Ranjitha, Gartaula, H.N.

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Methylation in the CHH context allows to predict recombination in rice por Peñuela, Mauricio, Gallo-Franco, Jenny Johana, Finke, Jorge, Rocha, Camilo, Gkanogiannis, Anestis, Ghneim-Herrera, Thaura, Lorieux, Mathias

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Sembrar sentidos inclusivos. Aportes para las instituciones y el territorio por Chavez, Gabriela Manuela

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Deep Learning Enables Instant and Versatile Estimation of Rice Yield Using Ground-Based RGB Images por Tanaka, Y., Watanabe, T., Katsura, K., Tsujimoto, Y., Takai, T., Tanaka, T.S.T., Kawamura, K., Saito, H., Homma, K., Ahouanton, K., Ibrahim, A., Senthilkumar, K., Semwal, V.K., Matute, E.J.G., Corredor, E., El-Namaky, R., Manigbas, N., Quilang, E.J.P., Iwahashi, Y., Nakajima, K., Takeuchi, E., Saito, K., Mairoua, S.G.

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Accessibility and utility of agricultural market information in Alamata and Atsbi-Wemberta Pilot Learning Weredas, Tigray, Ethiopia por Okubay, T.

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Coupling Process-Based Models and Machine Learning Algorithms for Predicting Yield and Evapotranspiration of Maize in Arid Environments por Attia, Ahmed, Govind, Ajit, Qureshi, Asad Sarwar, Feike, Til, Rizk, Mosa Sayed, Shabana, Mahmoud Mohamed Abd ElHay, Kheir, Ahmed M.S.

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