Resultados de búsqueda - "machine"

Excellence in Agronomy (EiA) product - CG Labs por Excellence in Agronomy

Materias: “…machine learning…”
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Foodgravity: understand food flows using classic gravity model and explainable artificial intelligence techniques por Dusabe, B.

Materias: “…machine learning…”
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Text mining and machine learning reveal global determinants of food insecurity por Carneiro, Bia, Resce, Giuliano, Caravaggio, Nicola, Santangelo, Agapito Emanuele, Ruscica, Giosue, Tucci, Giulia, Pacillo, Grazia, Eilert, Gary, Läderach, Peter, Coffey, Kevin

Materias: “…machine learning…”
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NIRCoreVision: A novel deep learning-based framework with GUI integration for core set selection from NIRS data using 1D CNN and k-means clustering por Singh, Naseeb, Kaur, Simardeep, Ranjan Padhi, Siddhant, John, Racheal, Shruti, Kumar, Amit, Rana, Jai Chand, Bhardwaj, Rakesh, Riar, Amritbir

Materias: “…machine learning…”
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Explainable machine learning driven nutrient recommendation for maize production in Malawi por Liben, Feyera, Kihara, Job, Abera, Wuletawu, AbebeMesfin, Tewodrofins, Homann-kee Tui, Sabine, Munthali, Moses, Munthali, Chandiona, Nalivata, Patson, Mzumara, Edward, Tuimene, Lulseged

Materias: “…machine learning…”
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Mapping expected returns to fertilizer investments across Sub-Saharan Africa por Gebrekidan, Bisrat Gebrekidan, Chamberlin, Jordan

Materias: “…machine learning…”
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500m gridded surfaces for changes in climate suitability for coffee production in Risaralda, Colombia por Vallejo Arango, Eliana, Navarro Racines, Carlos Eduardo, Ramírez Villegas, Julián Armando, Aguilar-Ariza, Andrés, Delerce, Sylvain Jean

Materias: “…machine learning…”
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Säker bortkoppling av balpress vid brand : en studie om skademinimering vid brand i bogserat redskap por Kårhammer, Jens, Gustafsson, Jesper

Materias: “…machine fire…”

Using UAV images and phenotypic traits to predict potato morphology and yield in Peru por Ccopi Trucios, Dennis, Ortega Quispe, Kevin, Castañeda Tinco, Italo, Rios Chavarria, Claudia, Enriquez Pinedo, Lucia, Patricio Rosales, Solanch, Ore Aquino, Zoila, Casanova Nuñez Melgar, David, Agurto Piñarreta, Alex Iván, Zúñiga López, Luz Noemí, Urquizo Barrera, Julio

Materias: “…Machine learning…”
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Comparison of UAV and SAR performance for crop type classification using machine learning algorithms: a case study of humid forest ecology experimental research site of west Africa por Duke, O.P., Alabi, T.R., Neeti, N., Adewopo, Julius

Materias: “…machine learning…”
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Large-scale rollout of extension training in Bangladesh: Challenges and opportunities for gender-inclusive participation por Medendorp, John William, Reeves, N. Peter, Sal y Rosas Celi, Victor Giancarlo, Harun-Ar-Rashid, Krupnik, Timothy J., Lutomia, Anne Namatsi, Pittendrigh, Barry Robert, Bello-Bravo, Julia

Materias: “…machine learning…”
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Watershed scale soil moisture estimation model using machine learning and remote sensing in a data-scarce context por Bueno, M., Baca García, C., Montoya, N., Rau, P., Loayza, H.

Materias: “…machine learning…”
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Drivers of maize yield variability at household level in northern Ghana and Malawi por Gachoki, S., Muthoni, F.K.

Materias: “…machine learning…”
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Characterization of rice yield based on biomass and SPAD-based leaf nitrogen for large genotype plots por Duque, Andres F., Patino, Diego, Colorado, Julian D., Petro, Eliel E., Rebolledo, Maria C, Mondragon, Iván Fernando, Espinosa, Natalia, Amézquita, Nelson, Puentes, Oscar D, Mendez, Diego, Jaramillo-Botero, Andres

Materias: “…machine learning…”
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High-throughput characterization and phenotyping of resistance and tolerance to virus infection in sweetpotato por Kreuze, Jan F., Ramírez, D., Fuentes, S., Loayza, H., Ninanya, J., Rinza, J., David, M., Gamboa, S., Boeck, B. de, Díaz, F., Pérez, A., Silva, L., Campos, Hugo

Materias: “…machine learning…”
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Aquatic macroinvertebrate image dataset por Koen, R. C. J., Koen, F. J. K.

Materias: “…machine learning…”
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Application of a multi-layer convolutional neural network model to classify major insect pests in stored rice detected by an acoustic device por Balingbing, Carlito B., Kirchner, Sascha, Siebald, Hubertus, Kaufmann, Hans-Hermann, Gummert, Martin, Van Hung, Nguyen, Hensel, Oliver

Materias: “…machine learning…”
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Prediction of spatial heterogeneity in nutrient-limited sub-tropical maize yield: Implications for precision management in the eastern Indo-Gangetic Plains por Ahmed, Zia Uddin, Krupnik, Timothy J., Timsina, Jagadish, Saiful Islam, Hossain, M. Khaled, Alanuzzaman Kurishi, A.S.M., Shah-Al Emran, Harun-Ar-Rashid, McDonald, Andrew, Gathala, Mahesh K.

Materias: “…machine learning…”
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An XGBoost approach to predictive modelling of Rift Valley fever outbreaks in Kenya using climatic factors por Mulwa, D., Kazuzuru, B., Misinzo, G., Bett, Bernard K.

Materias: “…machine learning…”
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Color and Grey-Level Co-Occurrence Matrix Analysis for Predicting Sensory and Biochemical Traits in Sweet Potato and Potato por Nantongo, J.S., Serunkuma, E., Burgos, G., Nakitto, M., Kitalikyawe, J., Mendes, T., Davrieux, F., Ssali, R.T.

Materias: “…machine learning…”
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