Search Results - "MACHINE LEARNING"

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

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

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

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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 by Junco Aranciaga, Antonio Gabriel

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Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches by Cai, Y., Guan, K., Lobell, D. B., Potgieter, A.B., Wang, S., You, Liangzhi

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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 by Obahoundje, S., Diedhiou, A., Dubus, L., Alamou, E. A., Amoussou, E., Akpoti, Komlavi, Ofosu, Eric Antwi

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An unmanned aerial vehicle (UAV) technology for estimating leaf N content in rice crops, from multispectral imagery by CGIAR Research Program on Rice

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

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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 by Mugiyo, H., Chimonyo, Vimbayi Grace Petrova, Kunz, R., Sibanda, M., Nhamo, L., Masemola, C. R., Modi, Albert Thembinkosi, Mabhaudhi, Tafadzwanashe

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

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

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

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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) by Camelo, Rodrigo Andres, Espitia Buitrago, Paula, Jauregui, Rosa

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Approximating soil organic carbon stock in the Eastern Plains of Colombia by Rainford, Shauna-kay, Martin López, Javier Mauricio, Silva, Mayesse Aparecida da

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Predictive modeling of above-ground biomass in Brachiaria pastures from satellite and UAV Imagery using machine learning approaches by 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

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

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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 by Amare, Mulubrhan, Andam, Kwaw S., Spielman, David J., Bamiwuye, Temilolu, Zambrano, Patricia, Chambers, Judith A., Fasoranti, Adetunji, Popoola, Olufemi

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Aplicación de una metodología basada en aprendizaje automático para el mejoramiento genético de duraznero by Aballay, Maximiliano Martín, Chirino, Julian Santiago, Valentini, Gabriel Hugo, Sanchez, Gerardo

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

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Climate change-induced reduction in agricultural land suitability of West-Africa’s inland valley landscapes by Akpoti, Komlavi, Groen, T., Dossou-Yovo, Elliott Ronald, Kabo-bah, A. T., Zwart, Sander J.

Subjects: “…machine learning…”
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