Search Results - "machine"

INFINITy : A fast machine learning-based application for human influenza A and B virus subtyping by Cacciabue, Marco Polo Domingo, Marcone, Débora Natalia

Subjects: “…Machine Learning…”
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Automatic detection of pomegranate fruit affected by blackheart disease using X-ray imaging by Munera, Sandra, Rodríguez-Ortega, Alejandro, Cubero, Sergio, Aleixos, Nuria, Blasco, José

Subjects: “…Machine learning…”
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Machine learning model accurately predict maize grain yields in conservation agriculture systems in southern Africa by Muthoni, Francis K., Thierfelder, Christian L., Mudereri, B.T., Manda, J., Bekunda, Mateete A., Hoeschle-Zeledon, Irmgard

Subjects: “…machine learning…”
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A map of global peatland extent created using machine learning (Peat-ML) by Melton, Joe R., Chan, Ed, Millard, Koreen, Fortier, Matthew, Winton, R. Scott, Martin López, Javier Mauricio, Cadillo-Quiroz, Hinsby, Kidd, Darren, Verchot, Louis V.

Subjects: “…machine learning…”
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Mapping spatial distribution and geographic shifts of east African highland banana (Musa spp.) in Uganda by Ochola, D., Boekelo, B., Ven, G.W. van de, Taulya, G., Kubiriba, Jerome, Asten, Piet J.A. van, Giller, Kenneth E.

Subjects: “…machine learning…”
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Smart breeding driven by big data, artificial intelligence, and integrated genomic-enviromic prediction by Yunbi Xu, Zhang Xingping, Huihui Li, Hongjian Zheng, Jianan Zhang, Olsen, Michael, Varshney, Rajeev K., Boddupalli, P.M., Qian Qian

Subjects: “…machine learning…”
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The progression in developing genomic resources for crop improvement by Ruperao, P., Rangan, P., Shah, T., Thakur, V., Kalia, S., Mayes, S., Rathore, A.

Subjects: “…machine learning…”
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Grow the pie, or have it? Using machine learning to impact heterogeneity in the Ultra-poor graduation model by Chowdhury, Reajul Alam, Ceballos-Sierra, Federico, Sulaiman, Munshi

Subjects: “…machine learning…”
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Estimating and understanding crop yields with explainable deep learning in the Indian wheat belt by Wolanin, Aleksandra, Mateo-Garciá, Gonzalo, Camps-Valls, Gustau, Gómez-Chova, Luis, Meroni, Michele, Duveiller, Gregory, You, Liangzhi, Guanter, Luis

Subjects: “…machine learning…”
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Economic AI on the move: the relationship between sugar-sweetened beverages consumption and weight gain in Kyrgyzstan by Suyunov, Alisher, Akramov, Kamiljon T.

Subjects: “…machine learning…”
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Factor endowments, wage growth, and changing food self-sufficiency: Evidence from country-level panel data by Otsuka, Keijiro, Liu, Yanyan, Yamauchi, Futoshi

Subjects: “…machine use…”
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High-resolution crop-type mapping in northern Ghana by Alabi, Tunrayo, Muthoni, Francis, Uponi, John, Alabi, William, Oluwaleye, Josiah

Subjects: “…machine learning…”
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Taller de fundamentos en análisis de información y minería de datos para agricultura (Big Data) by Tzorin Herrera, Sofía, Jaimes, Diana, Gonzalez, Arturo, Arias, Diana, Pacheco, Monstserrat, Chavez Can, Mario, Llanos Herrera, Lizeth, Navarro Racines, Carlos

Subjects: “…machine learning…”
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Mapping and Monitoring Fractional Woody Vegetation Cover in the Arid Savannas of Namibia Using LiDAR Training Data, Machine Learning, and ALOS PALSAR Data by Wessels, Konrad, Mathieu, Renaud, Knox, Nichola, Main, Russell, Naidoo, Laven, Steenkamp, Karen

Subjects: “…machine learning…”
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Addressing salinity intrusion in the polders of coastal Bangladesh: predictive machine-learning modeling for strategic sluice gate operations by Behera, Abhijit, Sena, Dipaka Ranjan, Hasib, Md. R., Matheswaran, Karthikeyan, Jampani, Mahesh, Mizan, Syed Adil, Islam, Md. J., Alam, R., Mondal, M. K., Sikka, Alok

Subjects: “…machine learning…”
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Connecting climate science and society: reflections from early and mid-career researchers at the World Climate Research Programme Open Science Conference 2023 by Díaz, Leandro B., Gulizia, Carla, Jain, Shipra, Langendijk, Gaby S., Palanisamy, Hindumathi, Rabanal, Valentina, Charlton, Candice S., Dajuma, Alima, Donkor, Felix K., Egbebiyi, Temitope S., Kondi Akara, Ghafi, Jrrar, Amna, Siddiqui, Md Rezwan, Brahim, Yassine Ait, Angnuureng, Bapentire D., Anschütz, Anna-Adriana, Awo, Founi M., Builes-Jaramillo, Alejandro, Cobb, Alison, Diallo, Mohamadou A., Er-Retby, Houda, Fotso-Nguemo, Thierry C., Gwinneth, Benjamin, Gudoshava, Masilin, Kemgang Ghomsi, Franck E., Leyba, Inés M., Lguensat, Redouane, Mahon, Roché, Mandal, Shailendra K., Mumo, Lucia, Muzuva, Meshel, Nonki, Rodric M., Rivera, Juan A., Segnon, Alcade C., Tanimoune, Laouali I., Zauisomue, Erlich-Honest E. I., Siame, Gilbert

Subjects: “…machine learning…”
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Developing automated machine learning approach for fast and robust crop yield prediction using a fusion of remote sensing, soil, and weather dataset by Kheir, Ahmed M.S., Govind, Ajit, Nangia, Vinay, Devkota Wasti, Mina Kumari, Elnashar, Abdelrazek, Omar, Mohie, Feike, Til

Subjects: “…machine learning…”
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A scalable crop yield estimation framework based on remote sensing of solar-induced chlorophyll fluorescence (SIF) by Kira, Oz, Wen, Jiaming, Han, Jimei, McDonald, Andrew J., Barrett, Christopher B., Ortiz-Bobea, Ariel, Liu, Yanyan, You, Liangzhi, Mueller, Nathaniel D., Sun, Ying

Subjects: “…machine learning…”
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Using machine learning tools for salinity forecasting to support irrigation management and decision-making in a polder of coastal Bangladesh by Behera, Abhijit, Sena, Dipaka Ranjan, Matheswaran, Karthikeyan, Jampani, Mahesh, Hasib, Md. R., Mondal, M. K.

Subjects: “…machine learning…”
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Assessing methane emissions from paddy fields through environmental and UAV remote sensing variables by Velez, Andres Felipe, Alvarez, Cesar Ivan, Navarro, Fabian, Guzman, Diego, Bohorquez, Martha Patricia, Selvaraj, Michael Gomez, Ishitani, Manabu

Subjects: “…machine learning…”
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