Search Results - "machine"

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

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

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

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

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

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

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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 by Retief, H., Vigneswaran, Kayathri, Ghosh, Surajit, Garcia Andarcia, Mariangel, Dickens, Chris

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Sunpheno : a deep neural network for phenological classification of sunflower images by Bengoa Luoni, Sofía Ailin, Ricci, Riccardo, Corzo, Melanie Anahi, Hoxha, Genc, Melgani, Farid, Fernandez, Paula Del Carmen

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

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

Subjects: “…machine learning…”

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

Subjects: “…machine milking…”

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

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A protocol for measuring Cassava Bacterial Blight disease progression using machine-learning image analysis by Pardo, Juan Manuel, Rodríguez, Rafael, Jiménez Polo, Jenyfer, Cuéllar, Wilmer Jose

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A new framework for predicting and understanding flowering time for crop breeding by Deva, Chetan, Dixon, Laura, Urban, Milan Oldřich, Ramirez‐Villegas, Julian, Droutsas, Ioannis, Challinor, Andrew J.

Subjects: “…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 by Gakhar, Shalini, Sharma, Sheetal

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

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

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

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

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

Subjects: “…machine learning…”
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