Resultados de búsqueda - "learning"

Development of a web based system for managing data related to artificial insemination centers in Ethiopia por Hassen, Abdulkadir, Meseret, Selam, Mrode, Raphael A., Ojango, Julie M.K., Ekine-Dzivenu, Chinyere C., Mogaka, David, Kipkosgei, Gideon, Gebreyohanes, Gebregziabher, Jufar, B., Agegnehu, B., Beyene, D., Tera, A., Okeyo Mwai, Ally

Materias: “…e-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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New e-learning course to tackle complex challenges of managing dryland forests and agrosilvopastoral systems por Carleton, Elliot, Louhaichi, Mounir, Flintan, Fiona

Materias: “…e-learning platform…”
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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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Reforming educator accountability systems: Evidence from Pakistan por Asad, Saher, Habib, Masooma, Karachiwalla, Naureen, Kosec, Katrina, Leaver, Clare, ur Rehman, Attique

Materias: “…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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High-resolution crop-type mapping in northern Ghana por Alabi, T., Muthoni, F., Uponi, J., Alabi, W., Oluwaleye, J.

Materias: “…machine learning…”
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Soybean rust early warning system in East and Southern Africa por Gachoki, S., Muthoni, F., Mureithi, H., Tripathi, L.

Materias: “…machine learning…”
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EasyIDP: A python package for intermediate data processing in UAV-based plant phenotyping por Wang, Haozhou, Duan, Yulin, Shi, Yun, Kato, Yoichiro, Ninomiya, Seishi, Guo, Wei

Materias: “…machine learning…”
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Mature products & assets: AGROTUTOR por Excellence in Agronomy

Materias: “…machine learning…”
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Dataset: Forage grasses in crop fields from ultra-high spatial resolution UAV-based imagery por Cardoso Arango, Juan Andres, Jauregui, Rosa Noemi, Camelo-Munevar, Rodrigo Andres, Ruiz-Hurtado, Andres Felipe, Arrechea-Castillo, Darwin Alexis

Materias: “…machine learning…”
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Fine-tuned AI for tracking policy demands and studies por Yego, Francis, Song, Chun, Laporte, Marie-Angelique

Materias: “…machine learning…”
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Which machine learning algorithm is best suited for estimating reference evapotranspiration in humid subtropical climate? por Deb, P., Kumar, V., Urfels, A., Lautze, Jonathan F., Kamboj, B. R., Sharma, J. R., Yadav, S.

Materias: “…machine learning…”
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Farmers agronomic management responses to extreme drought and rice yields in Bihar, India por Mkondiwa, Maxwell, Kishore, Avinash, Veettil, Prakashan Chellattan, Sherpa, Sonam, Saxena, Satyam, Pinjarla, Bhavani, Urfels, Anton, Poonia, Shishpal, Ajay, Anurag, Craufurd, Peter, Malik, Ram K., McDonald, Andrew J.

Materias: “…machine learning…”
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Forages ROIs: Automated forage grass detection in aerial imagery por Ruiz-Hurtado, Andres Felipe, Camelo-Munevar, Rodrigo Andres, Jauregui, Rosa Noemi, Cardoso Arango, Juan Andres

Materias: “…machine learning…”
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Remote sensing and machine learning integration to detect and forecast floods in Lodwar Town, Turkwel Basin, Kenya por Lakew, Haileyesus Belay, Taye, Meron Teferi, Lino, O., Dyer, E.

Materias: “…machine learning…”
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