Search Results - "Learning"

Behavioral market intelligence and its implications for seed systems development by Trachtman, Carly, Kramer, Berber, Demont, Matty

Subjects: “…learning…”
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Modeling the spatial distribution of soil organic carbon and carbon stocks in the Casanare flooded savannas of the Colombian Llanos by Martin López, Javier Mauricio, Verchot, Louis V., Martius, Christopher, Silva, Mayesse Aparecida da

Subjects: “…machine learning…”
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Predictive modeling of nutritional quality in Urochloa pastures from multispectral sensors and images using machine learning approaches by Camelo-Munevar, Rodrigo Andrés, Hernández, Luis Miguel, Jauregui, Rosa, Cardoso Arango, Juan Andrés

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Unveiling Drought-Resilient Pathways: Integrating High Throughput Phenotyping and Multivariate Modeling to Enhance Barley Adaptation to Climate Change by Ouahid, Safae, Backhaus, Anna Elisabeth, Jimenez, José-Antonio, Visioni, Andrea, Sanchez-Garcia, Miguel

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Working women and caste in India: A study of social disadvantage using feature attribution by Joshi, Kuhu, Joshi, Chaitanya K.

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Can differences in individual learning explain patterns of technology adoption? Evidence on heterogeneous learning patterns and hybrid rice adoption in Bihar, India by Gars, Jared, Ward, Patrick S.

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Nowcasting food insecurity interest with google trends data by Caravaggio, Nicola, Carneiro, Bia, Resce, Giuliano

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Community-engaged learning in food systems and public health by Self, Julie L., Handforth, Becky, Hartman, Janelle, McAuliffe, Corey, Noznesky, Elizabeth, Schwei, Rebecca J., Whitaker, Laura, Wyatt, Amanda, Girard, Amy Webb

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Estimating elements susceptible to urban flooding using multisource data and machine learning by Asfaw, Wegayehu, Rientjes, T., Bekele, Tilaye Worku, Haile, Alemseged Tamiru

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Leveraging automated machine learning for environmental data-driven genetic analysis and genomic prediction in maize hybrids by He, Kunhui, Yu, Tingxi, Gao, Shang, Chen, Shoukun, Li, Liang, Zhang, Xuecai, Huang, Changling, Xu, Yunbi, Wang, Jiankang, Boddupalli, Prasanna, Hearne, Sarah, Li, Xinhai, Li, Huihui

Subjects: “…machine learning…”
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Estimating Leaf Area Index of Wheat Using UAV-Hyperspectral Remote Sensing and Machine Learning by Rejith, Rajan G., Sahoo, Rabi N., Ranjan, Rajeev, Kondraju, Tarun, Bhandari, Amrita, Gakhar, Shalini

Subjects: “…machine learning…”
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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

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Local stakeholders' participation in developing criteria and indicators for sustainable forest management by Pokorny, B., Prabhu, Ravi, McDougall, C., Bauch, R.

Subjects: “…learning…”
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Muddling towards cooperation: a CIFOR case study of shared learning in Malinau district, Indonesia by Wollenberg, Eva Karoline, Iwan, R., Limberg, G., Moeliono, M., Rhee, S., Sudana, M.

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Learning to adapt: managing forests together in Indonesia by Kusumanto, T., Yuliani, L., Macoun, P., Indriatmoko, Y., Adnan, H.

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Belajar beradaptasi: bersama-sama mengelola hutan di Indonesia by Kusumanto, T., Yuliani, L., Macoun, P., Indriatmoko, Y., Adnan, H.

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Analysis of learning cycles in participatory environment and development projects: lessons from Nepal by Hiyama, C., Keen, M.

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Engendered orange-fleshed sweetpotato project planning, implementation, monitoring and evaluation: A learning kit. 2: Concept notes, proposals and logframe by Mbabu, A.N., Franca, Z.P., Mulongo, G., Munyua, H.M., Ojwang, F., Low, Jan W.

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Engendered orange-fleshed sweetpotato project planning, implementation, monitoring and evaluation: A learning kit. 4: Project implementation and M&E by Mbabu, A.N., Franca, Z.P., Mulongo, G., Munyua, H.M., Ojwang, F., Low, Jan W.

Subjects: “…learning materials…”
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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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