Resultados de búsqueda - "machine learning"

Decomposing USDA ending stocks forecast errors por Goyal, Raghav, Adjemian, Michael K., Glauber, Joseph W., Meyer, Seth

Materias: “…machine learning…”
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Precision enzyme discovery through targeted mining of metagenomic data por Ariaeenejad, Shohreh, Gharechahi, Javad, Foroozandeh Shahraki, Mehdi, Fallah Atanaki, Fereshteh, Han Jianlin, Ding, Xue-Zhi, Hildebrand, Falk, Bahram, Mohammad, Kavousi, Kaveh, Hosseini Salekdeh, Ghasem

Materias: “…machine learning…”
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A Comparison of Classification Algorithms for Predicting Distinctive Characteristics in Fine Aroma Cocoa Flowers Using WEKA Modeler por Tineo Flores, Daniel, Murillo, Yuriko S., Marin, Mercedes, Gomez Fernandez, Darwin, Taboada, Víctor H., Goñas Goñas, Malluri, Quiñonez Huatangari, Lenin

Materias: “…machine learning…”
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Evaluación comparativa en el desempeño de modelos de machine learning en la predicción de pagadores del impuesto predial de la ciudad de Tingo María para el año 2019 por Junco Aranciaga, Antonio Gabriel

Materias: “…Machine Learning…”
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Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches por Cai, Y., Guan, K., Lobell, D. B., Potgieter, A.B., Wang, S., You, Liangzhi

Materias: “…machine learning…”
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Modeling climate change impact on inflow and hydropower generation of Nangbeto Dam in West Africa using multi-model CORDEX ensemble and ensemble machine learning por Obahoundje, S., Diedhiou, A., Dubus, L., Alamou, E. A., Amoussou, E., Akpoti, Komlavi, Ofosu, Eric Antwi

Materias: “…machine learning…”
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An unmanned aerial vehicle (UAV) technology for estimating leaf N content in rice crops, from multispectral imagery por CGIAR Research Program on Rice

Materias: “…machine learning…”
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CIAT-developed machine learning technology identifies agroforestry crops and other land cover types using publicly available (free) satellite imagery. por CGIAR Research Program on Climate Change, Agriculture and Food Security

Materias: “…machine learning…”
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Mapping the spatial distribution of underutilised crop species under climate change using the MaxEnt model: a case of KwaZulu-Natal, South Africa por Mugiyo, H., Chimonyo, Vimbayi Grace Petrova, Kunz, R., Sibanda, M., Nhamo, L., Masemola, C. R., Modi, Albert Thembinkosi, Mabhaudhi, Tafadzwanashe

Materias: “…machine learning…”
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Predicting climate-driven changes in reservoir inflows and hydropower in Côte d'Ivoire using machine learning modeling por Obahoundje, Salomon, Diedhiou, A., Akpoti, Komlavi, Kouassi, K. L., Ofosu, E. A., Kouame, D. G. M.

Materias: “…machine learning…”
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High-resolution image dataset for the automatic classification of phenological stage and identification of racemes in Urochloa spp. hybrids por Arrechea-Castillo, Darwin Alexis, Espitia-Buitrago, Paula, Arboleda, Ronald David, Hernández, Luis Miguel, Jauregui, Rosa N., Cardoso, Juan Andrés

Materias: “…machine learning…”
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A comprehensive analysis of machine learning and remote sensing techniques in studying climate hazards-induced crop yield variations por Obahoundje, Salomon, Tilahun, Seifu A., Zemadim, Birhanu, Schmitter, Petra S.

Materias: “…machine learning…”
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Uso de machine learning y un sensor de reflectancia del dosel proximal para predecir biomasa y calidad nutricional en forrajes tropicales (Urochloa humidicola) por Camelo, Rodrigo Andres, Espitia Buitrago, Paula, Jauregui, Rosa

Materias: “…machine learning…”
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Approximating soil organic carbon stock in the Eastern Plains of Colombia por Rainford, Shauna-kay, Martin López, Javier Mauricio, Silva, Mayesse Aparecida da

Materias: “…machine learning…”
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Predictive modeling of above-ground biomass in Brachiaria pastures from satellite and UAV Imagery using machine learning approaches por Álvarez Mendoza, Cesar I., Guzman, Diego, Casas, Jorge, Bastidas, Mike, Polanco, Jan, Valencia Ortiz, Milton Orlando, Montenegro, Frank, Arango, Jacobo, Ishitani, Manabu, Gómez Selvaraj, Michael

Materias: “…machine learning…”
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A multi-platform framework for nowcasting social phenomena: A case study for food insecurity por Carneiro, Bia, Resce, Giuliano, Tucci, Giulia, Ruscica, Giosue, Caravaggio, Nicola, Fanelli, Laura, Santangelo, Agapito Emanuele, Cruciata, Pietro

Materias: “…machine learning…”
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The impact of genetically modified cowpea on yields, postharvest losses, and profitability in Nigeria: Findings from a cluster randomized controlled trial por Amare, Mulubrhan, Andam, Kwaw S., Spielman, David J., Bamiwuye, Temilolu, Zambrano, Patricia, Chambers, Judith A., Fasoranti, Adetunji, Popoola, Olufemi

Materias: “…machine learning…”
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Aplicación de una metodología basada en aprendizaje automático para el mejoramiento genético de duraznero por Aballay, Maximiliano Martín, Chirino, Julian Santiago, Valentini, Gabriel Hugo, Sanchez, Gerardo

Materias: “…Machine Learning…”
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Riconoscere la lebbra con l’intelligenza artificiale por Fazari, Antonio, Pellicer-Valero, Óscar, Gómez-Sanchís, Juan, Bernardi, Bruno, Cubero, Sergio, Benalia, Souraya, Zimbalatti, Giuseppe, Blasco, Giuseppe

Materias: “…machine learning…”
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Climate change-induced reduction in agricultural land suitability of West-Africa’s inland valley landscapes por Akpoti, Komlavi, Groen, T., Dossou-Yovo, Elliott Ronald, Kabo-bah, A. T., Zwart, Sander J.

Materias: “…machine learning…”
Enlace del recurso