Search Results - "Machining."

ICRISAT and Partners Launch AI-Powered Climate Advisory Initiative to Boost Farmer Resilience by Kumar, Shalander, Subbarao, AVM, Dhulipala, Ram, Kumar; Kishore G., Santanu Bal, Chandran, Sarath

Subjects: “…machine learning…”
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Soil nutrient maps of Sub-Saharan Africa: assessment of soil nutrient content at 250 m spatial resolution using machine learning by Hengl, T., Leenaars, Johan G.B., Shepherd, Keith D., Walsh, Markus G., Heuvelink, Gerard B.M., Mamo, T., Tilahun, H., Berkhout, Ezra D., Cooper, M., Fegraus, E., Wheeler, I., Kwabena, N. A.

Subjects: “…machine learning…”
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Milking-time test : methodology and assessment of vacuum recordings during machine milking of dairy cows by Lazović, Dragana

Subjects: “…milking machines…”

Can remote sensing enable a Biomass Climate Adaptation Index for agricultural systems? by Ferguson, Amy, Murray, Catherine, Tessema, Yared Mesfin, McKeown, Peter C., Reymondin, Louis, Loboguerrero Rodriguez, Ana María, Talsma, Tiffany, Allen, Brenden, Jarvis, Andy, Golden, Aaron, Spillane, Charles

Subjects: “…machine learning…”
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A protocol for measuring disease resistance to Cassava Bacterial Blight, using machine-learning image analysis by Pardo, Juan Manuel, Jiménez Polo, Jenyfer, Rodríguez, Rafael, Leiva Sandoval, Ana Maria, Cuéllar, Wilmer Jose

Subjects: “…machine learning…”
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Digitally improving the identification of aquatic macroinvertebrates for indices used in biomonitoring by Koen, R. C. J., Koen, F. J., Pattinson, N. B., Dickens, Chris W. S., Graham, P. M.

Subjects: “…machine learning…”
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Crop mapping in smallholder farms using unmanned aerial vehicle imagery and geospatial cloud computing infrastructure by Gokool, S., Mahomed, M., Brewer, K., Naiken, V., Clulow, A., Sibanda, M., Mabhaudhi, Tafadzwanashe

Subjects: “…machine learning…”
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Predicting poverty and malnutrition for targeting, mapping, monitoring, and early warning by Mcbride, Linden, Barrett, Christopher B., Browne, Christopher, Hu, Leiqiu, Liu, Yanyan, Matteson, David S., Sun, Ying, Wen, Jiaming

Subjects: “…machine learning…”
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Remote sensing and machine learning for food crop production data in Africa post-COVID-19 by Ly, Racine, Dia, Khadim, Diallo, Mariam A.

Subjects: “…machine learning…”
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Multivariate random forest prediction of poverty and malnutrition prevalence by Browne, Chris, Matteson, David S., McBride, Linden, Hu, Leiqiu, Liu, Yanyan, Sun, Ying, Wen, Jiaming, Barrett, Christopher B.

Subjects: “…machine learning…”
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Research-policy linkages: Empirical evidence from agroeconomic research in India by Balaji, S. J., Babu, Suresh Chandra, Pal, Suresh

Subjects: “…machine learning…”
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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., Malik, Arun S., Warner, James

Subjects: “…machine learning…”
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Zambia: Systematic analysis of domestic production and world market shocks by Mukashov, Askar, Diao, Xinshen, Jones, Eleanor, Thurlow, James

Subjects: “…machine learning…”
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Bangladesh: Systematic analysis of domestic production and world market shocks by Mukashov, Askar, Jones, Eleanor, Thurlow, James

Subjects: “…machine learning…”
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Papua New Guinea: Systematic analysis of domestic production and world market shocks by Mukashov, Askar, Dorosh, Paul A., Schmidt, Emily, Thurlow, James

Subjects: “…machine learning…”
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Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software by Crossa, José, Martini, Johannes W.R., Vitale, Paolo, Perez-Rodriguez, Paulino, Costa-Neto, Germano, Fritsche-Neto, Roberto, Runcie, Daniel E., Cuevas, Jaime, Toledo, Fernando H., Huihui Li, De Vita, Pasquale, Gerard, Guillermo S., Dreisigacker, Susanne, Crespo-Herrera, Leonardo A., Saint Pierre, Carolina, Bentley, Alison R., Lillemo, Morten, Ortiz, Rodomiro, Montesinos-Lopez, Osval A., Montesinos-López, Abelardo

Subjects: “…machine learning…”
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Parametric and machine learning approaches to examine yield differences between control and treatment considering outliers and statistical biases: The case of insect resistant/herb... by Falck-Zepeda, José B., Zambrano, Patricia, Sanders, Arie, Trabanino, Carlos Rogelio

Subjects: “…machine learning…”
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Integrating crop models and machine learning for projecting climate change impacts on crops in data-limited environments by Alimagham, Seyyedmajid, van Loon, Marloes P, Ramirez Villegas, Julian, Berghuijs, Herman N.C., Rosenstock, Todd Stuart, van Ittersum, Martin K.

Subjects: “…machine learning…”
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Early detection of infection by Penicillium digitatum in oranges using hyperspectral imaging and machine learning by Castillo-Gironés, Salvador, Gómez-Sanchis, Juan, López-Chulia, Marina, Guirao, Alberto, Palou, Lluís, Souza, Ricardo-Lima-de, Blasco, José

Subjects: “…machine learning…”
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Implementing cloud computing for the digital mapping of agricultural soil properties from high resolution UAV multispectral imagery by Pizarro Carcausto, Samuel Edwin, Pricope, Narcisa G., Figueroa Venegas, Deyanira Antonella, Carbajal Llosa, Carlos Miguel, Quispe Huincho, Miriam Rocío, Vera Vilchez, Jesús Emilio, Alejandro Méndez, Lidiana Rene, Achallma Mendoza, Lino, González Tovar, Izamar Estrella, Salazar Coronel, Wilian, Loayza, Hildo, Cruz Luis, Juancarlos Alejandro, Arbizu Berrocal, Carlos Irvin

Subjects: “…Machine learning…”
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