Search Results - "machine"

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

Subjects: “…machine learning…”
Get full text

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

Subjects: “…machine learning…”
Get full text

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

Subjects: “…machine learning…”
Get full text

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

Subjects: “…machine learning…”
Get full text

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.

Subjects: “…machine learning…”
Get full text

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

Subjects: “…machine learning…”
Get full text

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.

Subjects: “…machine learning…”
Get full text

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

Subjects: “…machine learning…”
Get full text

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

Subjects: “…vending machines…”
Get full text

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

Subjects: “…machine learning…”
Get full text

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

Subjects: “…machine learning…”
Get full text

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

Subjects: “…machine learning…”
Get full text

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

Subjects: “…machine learning…”
Get full text

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…”
Get full text

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

Subjects: “…machine learning…”
Get full text

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 by 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

Subjects: “…Support vector machine…”
Get full text
Get full text

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…”
Get full text

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

Subjects: “…machine learning…”
Get full text

A global spectral library to characterize the world’s soil by 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

Subjects: “…machine learning…”
Get full text

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

Subjects: “…Machine Learning…”
Get full text