Resultados de búsqueda - "MACHINE LEARNING"

EXGEP: a framework for predicting genotype-by-environment interactions using ensembles of explainable machine-learning models por Yu, Tingxi, Zhang, Hao, Chen, Shoukun, Gao, Shang, Liu, Ze, Wang, Jiankang, Crossa, Jose, Montesinos-Lopez, Osval Antonio, Hearne, Sarah, Li, Huihui

Materias: “…machine learning…”
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Targeting of food aid programs: Evidence from Egypt por Mahmoud, Mai, Kurdi, Sikandra

Materias: “…machine learning…”
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Satellite-surface-area machine-learning models for reservoir storage estimation: regime-sensitive evaluation and operational deployment at Loskop Dam, South Africa por Retief, H., Vigneswaran, Kayathri, Ghosh, Surajit, Garcia Andarcia, Mariangel, Dickens, Chris

Materias: “…machine learning…”
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Sunpheno : a deep neural network for phenological classification of sunflower images por Bengoa Luoni, Sofía Ailin, Ricci, Riccardo, Corzo, Melanie Anahi, Hoxha, Genc, Melgani, Farid, Fernandez, Paula Del Carmen

Materias: “…Machine Learning…”
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Estimación de los niveles nutricionales de hojas de cítricos mediante análisis no destructivo aplicando técnicas de aprendizaje automático por Miralles, Guillem, Rodríguez-Carretero, Isabel, Cubero, Sergio, Martínez, Marcelino, Mateo, Fernando, Albert, Francisco, Quinones, Ana, Blasco, José, Gómez-Sanchis, Juan

Materias: “…machine learning…”
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En studie om hur framtida landskapsarkitektur kan påverkas av Artificiell Intelligens por Sjöfors, Martin

Materias: “…machine learning…”

Artificial intelligence-based biomonitoring of water quality por Pattinson, N. B., Kuen, R.

Materias: “…machine learning…”
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A protocol for measuring Cassava Bacterial Blight disease progression using machine-learning image analysis por Pardo, Juan Manuel, Rodríguez, Rafael, Jiménez Polo, Jenyfer, Cuéllar, Wilmer Jose

Materias: “…machine learning…”
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A new framework for predicting and understanding flowering time for crop breeding por Deva, Chetan, Dixon, Laura, Urban, Milan Oldřich, Ramirez‐Villegas, Julian, Droutsas, Ioannis, Challinor, Andrew J.

Materias: “…machine learning…”
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Unleashing the potential of underutilized datasets to improve agricultural decision-making through comprehensive data analysis: An example of rice crop manager (RCM) dataset por Gakhar, Shalini, Sharma, Sheetal

Materias: “…machine learning…”
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Predicting malaria prevalence with machine learning models using satellite-based climate information: technical report por Ileperuma, Kaveesha, Jampani, Mahesh, Sellahewa, Uvindu, Panjwani, Shweta, Amarnath, Giriraj

Materias: “…machine learning…”
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A simplified measure of nutritional empowerment: Using machine learning to abbreviate the Women’s Empowerment in Nutrition Index (WENI) por Saha, Shree, Narayanan, Sudha

Materias: “…machine learning…”
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Forecasting commodity prices using long-short-term memory neural networks por Ly, Racine, Traoré, Fousseini, Dia, Khadim

Materias: “…machine learning…”
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Potenciando la investigación agrícola con modelos de inteligencia artificial por Ruiz-Hurtado, Andres Felipe

Materias: “…machine learning…”
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Predicting high-magnitude, low-frequency crop losses using machine learning: An application to cereal crops in Ethiopia por Mann, Michael L., Warner, James, Malik, Arun S.

Materias: “…machine learning…”
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Pixels to pasture: Using machine learning and multispectral remote sensing to predict biomass and nutrient quality in tropical grasslands por Zwick, Mike, Cardoso, Juan Andres, Gutiérrez-Zapata, Diana María, Cerón-Muñoz, Mario, Gutiérrez, Jhon Freddy, Raab, Christoph, Jonsson, Nicholas, Escobar, Miller, Roberts, Kenny, Barrett, Brian

Materias: “…machine learning…”
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Early detection of plant virus infection using multispectral imaging and machine learning por Grieve, B., Duffy, S., Dallas, M. M., Ascencio‑Ibanez, J. T., Alonso-Chavez, V., Legg, J., Hanley-Bowdoin, L., Yin, H.

Materias: “…machine learning…”
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Paddy rice methane emissions across Monsoon Asia por Ouyang, Zutao, Jackson, Robert B., McNicol, Gavin, Fluet-Chouinard, Etienne, Runkle, Benjamin R.K., Papale, Dario, Knox, Sara H., Cooley, Sarah, Delwiche, Kyle B., Feron, Sarah, Irvin, Jeremy Andrew, Malhotra, Avni, Muddasir, Muhammad, Sabbatini, Simone, Alberto, Ma. Carmelita R., Cescatti, Alessandro, Chen, Chi-Ling, Dong, Jinwei, Fong, Bryant N., Guo, Haiqiang, Hao, Lu, Iwata, Hiroki, Jia, Qingyu, Ju, Weimin, Kang, Minseok, Li, Hong, Kim, Joon, Reba, Michele L., Nayak, Amaresh Kumar, Roberti, Debora Regina, Ryu, Youngryel, Swain, Chinmaya Kumar, Tsuang, Benjei, Xiao, Xiangming, Yuan, Wenping, Zhang, Geli, Zhang, Yongguang

Materias: “…machine learning…”
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A new adaptive identification strategy of best crop management with farmers por Gautron, Romain, Baudry, Dorian, Adam, Myriam, Falconnier, Gatien N., Hoogenboom, Gerrit, King, Brian, Corbeels, Marc

Materias: “…machine learning…”
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Seasonal maize yield forecasting in South and East African countries using hybrid earth observation models por Kenduiywo, Benson Kipkemboi, Miller, Sara

Materias: “…machine learning…”
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