Search Results - "Machine Learning"

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

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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…”

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.

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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.

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Pixels to pasture: Using machine learning and multispectral remote sensing to predict biomass and nutrient quality in tropical grasslands by 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

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

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Paddy rice methane emissions across Monsoon Asia by 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

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A new adaptive identification strategy of best crop management with farmers by Gautron, Romain, Baudry, Dorian, Adam, Myriam, Falconnier, Gatien N., Hoogenboom, Gerrit, King, Brian, Corbeels, Marc

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Seasonal maize yield forecasting in South and East African countries using hybrid earth observation models by Kenduiywo, Benson Kipkemboi, Miller, Sara

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