Search Results - "Machine Learning"

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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Site-specific fertilizer recommendation using data driven machine approaches enhanced wheat productivity and resource use efficiency by Liben, Feyera, Abera, Wuletawu, Ebrahim, Mohammed, Tilaye, Asmalu, Chernet, Meklit, Erkossa, Teklu, Tibebe, Degefie, Mponela, Powell, Kihara, Job Maguta, Tamene, Lulseged D.

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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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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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Leveraging unsupervised machine learning to examine women's vulnerability to climate change by Caruso, German, Mueller, Valerie, Villacis, Alexis

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Machine learning based rice blast model development. Report. by Selvaraj, Michael, Giraldo, Juan Camilo

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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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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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Advanced Prediction of Rice Yield Gaps Under Climate Uncertainty Using Machine Learning Techniques in Eastern India by Sahoo, Satiprasad, Singha, Chiranjit, Govind, Ajit

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Tester selection for combining ability estimation of storage root yield and sweetpotato virus disease in sweetpotato breeding by Swanckaert, J., Santos, I.G.D., Chaves, S.F.S., Ssali, R.T., Mwanga, R.O.M., Azevedo, C.F., Mendes, T., Boeck, B. de, Eyzaguirre, R., Kitavi, M., Gemenet, D., Andrade, M.I., Grüneberg, W.J., Lindqvist-Kreuze, H., Yencho, George Craig, Campos, Hugo, Silva Pereira, G. da

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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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Predicting aflatoxin risk in maize using machine learning and satellite data in East and Southern Africa by Gachoki, S., Muthoni, F.K., Mahuku, G., Atehnkeng, J., Njeru, N., Kamau, J., Tripathi, L.

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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

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Demand intelligence portal - annotated wireframe documentation by Sartas, M., Konlambigue, M.

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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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Terra-i+ Using machine learning to manage impacts of coffee production in Ocotepeque, Honduras by Alliance of Bioversity International and CIAT

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Terra-i + Using machine learning to manage impacts of coffee production in Ocotepeque by Alliance of Bioversity International and CIAT

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Business model testing and advisory with Root Capital and Sustainable Food Lab by Root Capital

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Understanding users formal meetings by Alliance of Bioversity International and CIAT

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Mining the gaps:using machine learning to map a million data points from agricultural research from the global south by Porciello, J., Lipper, L., Bourne, T., Ivanina, M., Lin, S., Langleben, S.

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