Resultados de búsqueda - "machine"

Urban flash flood hazard mapping using machine learning, Bahir Dar, Ethiopia por Leggesse, E. S., Derseh, W. A., Zimale, F. A., Tilahun, Seifu A., Meshesha, M. A.

Materias: “…machine learning…”
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Malawi: Systematic analysis of domestic production and world market shocks por Mukashov, Askar, Duchoslav, Jan, Kankwamba, Henry, Jones, Eleanor, Thurlow, James

Materias: “…machine learning…”
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Kenya: Systematic analysis of domestic production and world market shocks por Mukashov, Askar, Mbuthia, Juneweenex, Omune, Lensa, Jones, Eleanor, Thurlow, James

Materias: “…machine learning…”
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Rwanda: Systematic analysis of domestic production and world market shocks por Mukashov, Askar, Warner, James, Jones, Eleanor, Thurlow, James

Materias: “…machine learning…”
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Nepal: Systematic analysis of domestic production and world market shocks por Mukashov, Askar, Thurlow, James, Dorosh, Paul A., Jones, Eleanor

Materias: “…machine learning…”
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Agricultural insurance: Policies and programs for reducing farmer risk por Ceballos, Francisco, Hazell, Peter B. R., Hill, Ruth Vargas, Kramer, Berber

Materias: “…machine learning…”
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BrRacemeCounter: An AI-based desktop tool for counting racemes in Urochloa spp. por Arrechea-Castillo, Darwin Alexis, Espitia-Buitrago, Paula, Arboleda, Ronald David, Gallego-Muñoz, Ana Marcela, Moreno-Domínguez, Valeria, Gaviria-Valencia, Juan Manuel, Bravo, Valeria Andrea, Ruiz-Hurtado, Andres Felipe, Jauregui, Rosa Noemi, Cardoso, Juan Andres

Materias: “…machine learning…”
Enlace del recurso

Navigating salinity challenges in the polders of coastal Bangladesh: AI-based advisories for farmers and water managers por Jampani, Mahesh, Matheswaran, Karthikeyan, Sena, Dipaka, Mondal, M., Chakraborty, Shreya, Joshi, Deepa

Materias: “…machine learning…”
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Advanced technologies for reducing greenhouse gas emissions from rice fields: Is hybrid rice the game changer? por Khatibi, Seyed Mahdi Hosseiniyan, Adviento-Borbe, Maria Arlene, Dimaano, Niña Gracel, Radanielson, Ando M., Ali, Jauhar

Materias: “…machine learning…”
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Una plataforma basada en machine learning para identificar variedades de duraznero con mayores chances de adaptación a escenarios climáticos futuros por Aballay, Maximiliano Martín, Chirino, Julian Santiago, Valentini, Gabriel Hugo, Sanchez, Gerardo

Materias: “…Machine Learning…”
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Predicting yields using biophysical crop simulations, machine learning and remote sensing in India por CGIAR Platform for Big Data in Agriculture

Materias: “…machine learning…”
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Effects of land use land cover change on streamflow of Akaki Catchment, Addis Ababa, Ethiopia por Negash, E. D., Asfaw, Wegayehu, Walsh, C. L., Mengistie, G. K., Haile, Alemseged Tamiru

Materias: “…machine learning…”
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Advancing non-optical water quality monitoring in Lake Tana, Ethiopia: insights from machine learning and remote sensing techniques por Leggesse, E. S., Zimale, F. A., Sultan, D., Enku, T., Tilahun, Seifu A.

Materias: “…machine learning…”
Enlace del recurso

Status of irrigated area in the Limpopo River Basin: June 2024 por Kiala, Zolo, Matheswaran, Karthikeyan

Materias: “…machine learning…”
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Status of irrigated area in the Limpopo River Basin: July 2024 por Kiala, Zolo, Matheswaran, Karthikeyan

Materias: “…machine learning…”
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ViralPlaque: a Fiji macro for automated assessment of viral plaque statistics por Cacciabue, Marco Polo, Curra, Anabella Paola, Gismondi, Maria Ines

Materias: “…Machine Learning…”
Enlace del recurso
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Effects of spatial resolution,land-cover heterogeneity and different classification methods on accuracy of land-cover mapping por Awuah, Tweneboa Kwame

Materias: “…support vector machine (SVM)…”

Aerial Monitoring of Rice Crop Variables using an UAV Robotic System por Devia, Carlos Andres, Rojas Bustos, Juan Pablo, Petro, Eliel E., Mondragon, Iván Fernando, Patino, D., Rebolledo, C., Colorado, Julian D.

Materias: “…machine learning…”
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Data-driven similar response units for agricultural technology targeting: An example from Ethiopia por Tamene, Lulseged D., Abera, Wuletawu, Bendito, Eduardo, Erkossa, Teklu, Tariku, Meklit, Sewnet, Habtamu, Tibebe, Degefie, Sied, Jema, Feyisa, Gudina, Wondie, Menale, Tesfaye, Kindie

Materias: “…machine learning…”
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Crop monitoring in smallholder farms using unmanned aerial vehicles to facilitate precision agriculture practices: a scoping review and bibliometric analysis por Gokool, S., Mahomed, M., Kunz, R., Clulow, A.D., Sibanda, M., Naiken, V., Chetty, K., Mabhaudhi, Tafadzwanashe

Materias: “…machine learning…”
Enlace del recurso