Search Results - Open learning.

Social learning in games: Stimulating institutional and behavior change in relation to water use in India by Falk, Thomas, Meinzen-Dick, Ruth S., Priyadarshini, Pratiti, Singh, Subrata, Mittal, Rajesh

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Discussion and conclusions by McDougall, C., Prabhu, Ravi, Fisher, R.

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Troubleshooting methods, interpretation and reporting of results lab diagnosis by Beed, Fenton D., Ramathani, I.

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Standard Operating Procedure (SOP) for digital imaging and quantification of banana weevil damage using Ilastik and ImageJ (Fiji) by Mwanje, G., Shah, T., Swennen, R., Nakato, G.V.

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Towards Operationalizing the SRF with a Suite of Indicators within a Monitoring, Evaluation and Learning Framework by CGIAR Indicator Task Force

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BrRacemeCounter: Mask R-CNN for Raceme Instance Segmentation by International Center for Tropical Agriculture (CIAT) Tropical Forages Program, Arrechea-Castillo, Darwin Alexis, Cardoso Arango, Juan Andres

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Rainfed wheat extent (2020/21) across Ethiopia's complex and highly fragmented agricultural smallholder landscape by Blasch, Gerald, Lesne, Louise, Wolter, Jolan, Alemayehu, Yoseph, Bontemps, Sophie, Hodson, David, Defourny, Pierre

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Making millets matter in Madhya Pradesh by Mondal, A., King, I.O., Roy, S., Priyam, S., Meldrum, G., Padulosi, S., Mishra, S.

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Applying social learning where ‘business-as-usual’ solutions no longer work for complex problems and programs by Le Borgne, Ewen

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Capacity versus incentive factors explaining research productivity: Comparative and multilevel analysis of Nigeria and Ghana agricultural research systems by Ragasa, Catherine

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Climate change and social learning (CCSL): supporting local decision making for climate change, agriculture and food security by Carlile, Liz, Ballantyne, Peter G., Ensor, Jonathan, Förch, Wiebke, Garside, Ben, Harvey, Blane, Patterson, Zachary, Thornton, Philip K., Woodend, John

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A machine learning algorithm for mapping small reservoirs using Sentinel-2 satellite imagery in Google Earth Engine by Siabi, Ebenezer K., Akpoti, Komlavi, Zwart, Sander J.

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Ground reference dataset for crop type mapping and monitoring in four districts of Rwanda by Kenduiywo, Benson Kipkemboi, Wahome, Anastasia Mumbi, Sande, Stephen Ngondi, Chemutt, Joseph Kipkoech

“…The final dataset—comprising georeferenced points, annotated attributes and labelled polygons—is shared as an open resource to advance crop monitoring in Rwanda. …”
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Metabolomics and machine learning technique revealed that germination enhances the multi-nutritional properties of pigmented rice by Tiozon, Rhowell N., Jr., Sreenivasulu, Nese, Alseekh, Saleh, Sartagoda, Kristel June D., Usadel, Björn, Fernie, Alisdair R.

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Modelling agricultural drought: a review of latest advances in big data technologies by Houmma, I.H., El Mansouri, L., Gadal, S., Garba, M., Hadria, R.

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Early detection of plant virus infection using multispectral imaging and spatial-spectral machine learning by Peng, Y., Dallas, M.M., Ascencio‑Ibanez, J.T., Hoyer, J.S., Legg, James P., Hanley-Bowdoin, L., Grieve, B., Yin, H.

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Machine learning technique unraveled subspecies-specific ionomic variation with the preferential mineral enrichment in rice by Tiozon, Rhowell N., Buenafe, Reuben James, Jain, Vinay, Sen, Partha, Molina, Lilia R., Anacleto, Roslen, Sreenivasulu, Nese

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Can CoP theory be applied? Exploring praxis in a community of practice on gender by Bailey, Arwen

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Can machine-learning models predict gendered labor statistics using mobile phone and geospatial data? by Seymour, Greg, Follett, Lendie, Henderson, Heath, Ferguson, Nathaniel

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Integrating APSIM model with machine learning to predict wheat yield spatial distribution by Kheir, A.M.S., Mkuhlani, S., Mugo, J.W., Elnashar, A., Nangia, V., Devare, Medha, Govind, A.

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