Resultados de búsqueda - "learning"

Machine learning in space and time for modelling soil organic carbon change por Heuvelink, Gerard B.M., Angelini, Marcos Esteban, Poggio, Laura, Bai, Zhanguo, Batjes, Niels H., van den Bosch, Rik, Bossio, Deborah, Estella, Sergio, Lehmann, Johannes, Olmedo, Guillermo Federico, Sanderman, Jonathan

“…We used quantile regression forest machine learning to predict annual SOC stock at 0–30 cm depth at 250 m resolution for Argentina between 1982 and 2017. …”
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Early detection of Penicillium Digitatum using hyperspectral imaging and deep learning por Castillo-Gironés, Salvador, Souza, Ricardo-Lima-de, Munera, Sandra, Rodríguez, Alejandro, Cubero, Sergio, Gómez-Sanchis, Juan, Martínez-Onandi, Nerea, López-Chulia, Marina, Blasco, José

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Editorial: Deep learning approaches applied to spectral images for plant phenotyping por Polder, Gerrit, Blasco, José, Cen, Haiyan

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Farmer field schools as a learning process for resource-poor farmers por Hofisi, Fortunate

“…It was found that farmer's farming system changed because of the learning at the Farmer Field Schools. Farmers contributed to the learning process through active experimentation and contribution of their indigenous knowledge. …”
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Changed behavior in the house cricket Acheta domesticus : predetermined or an effect of learning? por Olofsson, Caroliné

Materias: “…learning…”

Sustainable development projects and communication : what lessons can we learn? por Martinez, Valentina

Ecological niche modeling approach for assessing potential for expansion of irrigated rice under alternate wetting and drying method por CGIAR Research Program on Climate Change, Agriculture and Food Security

Materias: “…learning…”
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Predicting the fundamental fluxes of an eddy-covariance station using machine learning methods por García-Rodríguez, David, Catret, Pablo, Iglesias, Domingo J., Martínez, Juan J., López, Ernesto, García, Antonio

Materias: “…Deep learning…”
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Towards Operationalizing the SRF with a Suite of Indicators within a Monitoring, Evaluation and Learning Framework por CGIAR Indicator Task Force

Materias: “…learning…”
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Modelling agricultural drought: a review of latest advances in big data technologies por Houmma, I.H., El Mansouri, L., Gadal, S., Garba, M., Hadria, R.

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

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

Materias: “…machine learning…”
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DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plants por Wang, Kelin, Abid, Muhammad Ali, Awais Rasheed, Crossa, José, Hearne, Sarah Jane, Huihui Li

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

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

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

Materias: “…machine learning…”
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Metabolomics and machine learning technique revealed that germination enhances the multi-nutritional properties of pigmented rice por Tiozon, Rhowell N., Jr., Sreenivasulu, Nese, Alseekh, Saleh, Sartagoda, Kristel June D., Usadel, Björn, Fernie, Alisdair R.

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

Materias: “…machine learning…”
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Researcher-implementer partnerships for learning and impact: Lessons from IFPRI's experiences with nutrition-sensitive programming por Bliznashka, Lilia, Sproule, Katie

Materias: “…learning…”
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Capacity versus incentive factors explaining research productivity: Comparative and multilevel analysis of Nigeria and Ghana agricultural research systems por Ragasa, Catherine

Materias: “…organizational learning…”
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