Resultados de búsqueda - "machine"

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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Provisioning healthy and diverse foods to the urban poor in Nigeria : a practice-based perspective on informal ready-to-eat food vending por Adeosun, Kehinde Paul

Materias: “…vending machines…”
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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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From rangelands to cropland, land-use change and its impact on soil organic carbon variables in a Peruvian Andean highlands: a machine learning modeling approach por Carbajal, Mariella, Ramirez, David A., Turin Canchaya, Cecilia Claudia, Schaeffer, Sean M., Konkel, Julie, Ninanya, Johan, Rinza, Javier, De Mendiburu, Felipe, Zorogastua, Percy, Villaorduña, Liliana, Quiroz, Roberto

Materias: “…Support vector machine…”
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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…”
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Tolerance to spittlebugs (Aeneolamia varia) in Urochloa spp. and Megathyrsus maximus grasses: A dataset for plant damage phenotyping por Ruiz-Hurtado, Andres Felipe, Espitia-Buitrago, Paula, Hernández, Luis Miguel, Jauregui, Rosa N., Cardoso, Juan Andres

Materias: “…machine learning…”
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A global spectral library to characterize the world’s soil por Viscarra Rossel, Raphael A., Behrens, T, Ben-Dor, E., Brown, D.J., Demattê, JAM, Shepherd, Keith D., Shi, Z, Stenberg, B, Stevens, A, Adamchuk, V, Aïchik, H, Barthèsl, BG, Bartholomeus, H.M., Bayer, AD, Bernoux, Martial, Böttchero, K, Brodský, L, Du, CW, Chappell, A, Fouad, Y, Genot, V, Gómez, C., Grunwald, S., Gubler, A, Hedley, CB, Knadel, M, Morrás, HJM, Nocita, M, Ramírez Lopez, L., Roudier, P., Rufasto Campos, EM, Sanborn, P, Sellitto, VM, Sudduth, KA, Rawlins, BG, Walter, C, Winowiecki, Leigh Ann, Hong, SY, Ji, W

Materias: “…machine learning…”
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Relevant loci for milk production in dairy cattle, obtained by machine learning algorithms por Raschia, Maria Agustina, Ríos, Pablo J., Maizon, Daniel Omar, Demitrio, Daniel Arturo, Poli, Mario Andres

Materias: “…Machine Learning…”
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Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin por Gómez Selvaraj, Michael, Vergara, Alejandro, Montenegro, Frank, Alonso Ruiz, Henry, Safari, Nancy, Raymaekers, Dries, Ocimati, Walter, Ntamwira, Jules Bagula, Tits, Laurent, Omondi, Bonaventure Aman Oduor, Blomme, Guy

Materias: “…machine learning…”
Enlace del recurso