Resultados de búsqueda - "machine"

The Nutrition-Sensitive Food Environment Index: A comprehensive approach to assessing food environments in association with health risks for policy decision making por Akingbemisilu, Tosin Harold, Jordan, Irmgard, Asiimwe, Robert, Bodjrenou, Sam, Nabuuma, Deborah, Odongo, Nicanor, Onyango, Kevin Omondi, Teferi, Ermias, Tokeshi, Casey, Lundy, Mark, Termote, Celine

Materias: “…machine learning…”
Enlace del recurso

High-frequency monitoring enables machine learning–based forecasting of acute child malnutrition for early warning por Constenla-Villoslada, Susana, Liu, Yanyan, McBride, Linden, Ouma, Clinton, Mutanda, Nelson, Barrett, Christopher B.

Materias: “…machine learning…”
Enlace del recurso

Next-generation hybrid precipitation forecasts that integrate Indigenous knowledge por Sutanto, S. J., Bosdijk, J., Benedict, I., Moene, A., Milosevic, D., Ludwig, Fulco, Paparrizos, S.

Materias: “…machine learning…”
Enlace del recurso

A systematic literature review with meta-analysis of predictive modelling of Rift Valley fever outbreaks in East Africa: Machine learning and time series approaches por Mulwa, D.F., Kazuzuru, B., Misinzo, G., Bett, Bernard K.

Materias: “…machine learning…”
Enlace del recurso

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…”
Enlace del recurso

Targeting of food aid programs: Evidence from Egypt por Mahmoud, Mai, Kurdi, Sikandra

Materias: “…machine learning…”
Enlace del recurso

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…”
Enlace del recurso

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…”
Enlace del recurso
Enlace del recurso
Enlace del recurso

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…”
Enlace del recurso

En studie om hur framtida landskapsarkitektur kan påverkas av Artificiell Intelligens por Sjöfors, Martin

Materias: “…machine learning…”

Improvements in milking management through imitation of calf behaviour por Eriksson, Ida

Materias: “…machine milking…”

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

Materias: “…machine learning…”
Enlace del recurso

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…”
Enlace del recurso

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…”
Enlace del recurso

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…”
Enlace del recurso

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…”
Enlace del recurso

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…”
Enlace del recurso

Forecasting commodity prices using long-short-term memory neural networks por Ly, Racine, Traoré, Fousseini, Dia, Khadim

Materias: “…machine learning…”
Enlace del recurso

Potenciando la investigación agrícola con modelos de inteligencia artificial por Ruiz-Hurtado, Andres Felipe

Materias: “…machine learning…”
Enlace del recurso

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…”
Enlace del recurso