Search Results - "Machine Learning"

Foodgravity: understand food flows using classic gravity model and explainable artificial intelligence techniques by Dusabe, B.

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

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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 by Singh, Naseeb, Kaur, Simardeep, Ranjan Padhi, Siddhant, John, Racheal, Shruti, Kumar, Amit, Rana, Jai Chand, Bhardwaj, Rakesh, Riar, Amritbir

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

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Mapping expected returns to fertilizer investments across Sub-Saharan Africa by Gebrekidan, Bisrat Gebrekidan, Chamberlin, Jordan

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500m gridded surfaces for changes in climate suitability for coffee production in Risaralda, Colombia by Vallejo Arango, Eliana, Navarro Racines, Carlos Eduardo, Ramírez Villegas, Julián Armando, Aguilar-Ariza, Andrés, Delerce, Sylvain Jean

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Using UAV images and phenotypic traits to predict potato morphology and yield in Peru by 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

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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 by Duke, O.P., Alabi, T.R., Neeti, N., Adewopo, Julius

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Large-scale rollout of extension training in Bangladesh: Challenges and opportunities for gender-inclusive participation by 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

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

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Drivers of maize yield variability at household level in northern Ghana and Malawi by Gachoki, S., Muthoni, F.K.

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Characterization of rice yield based on biomass and SPAD-based leaf nitrogen for large genotype plots by 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

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High-throughput characterization and phenotyping of resistance and tolerance to virus infection in sweetpotato by 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

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Aquatic macroinvertebrate image dataset by Koen, R. C. J., Koen, F. J. K.

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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 by Balingbing, Carlito B., Kirchner, Sascha, Siebald, Hubertus, Kaufmann, Hans-Hermann, Gummert, Martin, Van Hung, Nguyen, Hensel, Oliver

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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 by 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.

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An XGBoost approach to predictive modelling of Rift Valley fever outbreaks in Kenya using climatic factors by Mulwa, D., Kazuzuru, B., Misinzo, G., Bett, Bernard K.

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Color and Grey-Level Co-Occurrence Matrix Analysis for Predicting Sensory and Biochemical Traits in Sweet Potato and Potato by Nantongo, J.S., Serunkuma, E., Burgos, G., Nakitto, M., Kitalikyawe, J., Mendes, T., Davrieux, F., Ssali, R.T.

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Deep learning methods improve genomic prediction of wheat breeding by Montesinos-Lopez, Abelardo, Crespo Herrera, Leonardo A., Dreisigacker, Susanna, Gerard, Guillermo S., Vitale, Paolo, Saint Pierre, Carolina, Velu, Govindan, Tarekegn, Zerihun Tadesse, Chavira-Flores, Moisés, Pérez-Rodríguez, Paulino, Ramos-Pulido, Sofía, Lillemo, Morten, Huihui Li, Montesinos-Lopez, Osval ., Crossa, José

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High-resolution crop-type mapping in northern Ghana by Alabi, T., Muthoni, F., Uponi, J., Alabi, W., Oluwaleye, J.

Subjects: “…machine learning…”
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