Resultados de búsqueda - "Learning"

Deep Learning for Image-Recognition-Based Cassava Disease Detection por CGIAR Platform for Big Data in Agriculture

Materias: “…learning…”
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AgriLAC Resiliente: Planned Impact Assessment por Lopera, Diana Carolina, Reyes, Byron A., Quintero, Katherine

Materias: “…learning…”
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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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Effectiveness of the lead farmer approach in agricultural extension service provision: Nationally representative panel data analysis in Malawi por Ragasa, Catherine

Materias: “…social 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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Institutional convergence for agricultural development: The changing role of extension por Ananth, Pavanasam Natarajan, Babu, Suresh Chandra, Barik, Nagesh Kumar, Dash, Ajaya Kumar, Sundaray, J. K.

Materias: “…institutional 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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An economic evaluation of adaptive e-learning devices to promote weight loss via dietary change for people with obesity por Miners, Alec, Harris, Jody, Felix, Lambert, Murray, Elizabeth, Michie, Susan, Edwards, Phil

Materias: “…distance 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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Rural innovation systems and networks: Findings from a study of Ethiopian smallholders por Spielman, David J., Davis, Kristin E., Negash, Martha, Ayele, Gezahegn

Materias: “…social learning…”
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Facilitating collective action and enhancing local knowledge: a herbal medicine case study in Talaandig communities, Philippines por Hartanto, Herlina, Valmores, Cecil

Materias: “…social 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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Understanding pastoralist adaptations to drought via games and choice experiments: Field testing among Borana communities por Bell, Andrew Reid, Rakotonarivo, O. Sarobidy, Zhang, Wei, De Petris, Caterina, Kipchumba, Adams, Meinzen-Dick, Ruth S.

Materias: “…experiential learning…”
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