Resultados de búsqueda - "Learning"

Big data, small explanatory and predictive power: Lessons from random forest modeling of on-farm yield variability and implications for data-driven agronomy por Silva, ‪João Vasco, Heerwaarden, Joost van, Reidsma, Pytrik, Laborte, Alice G., Tesfaye, Kindie, Ittersum, Martin K. van

Materias: “…machine learning…”
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The IITA agripreneur movement: a dynamic approach to youth empowerment across Africa por Sanginga, N., Adenmosun, A., Obaniyi, J., Mulinganya, N., Woomer, P.

Materias: “…experiential learning…”
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Mapping major land use types in Nandi County using remote sensing and machine learning por Guo, Zhe, Walter, Kibet

Materias: “…machine learning…”
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Collective action and social learning in integrated resource systems: Evidence from inland fisheries in Cambodia por Gleich, Pia, Baldivieso, Carla, de Silva, Sanjiv, Bonatti, Michelle

Materias: “…social learning…”
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Narrative Report: Theory of Change - Nuapada Onion Value Chain Learning Lab por Jain, Harsha, Puskur, Ranjitha, Dwivedi, Anushka, Shivhare, Richa, Muckhopadhyay, Prama, Chadha, Deepali, Goel, Kritika, Gartaula, Hom N.

Materias: “…onion learning lab…”
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Drought vulnerability of central Sahel agrosystems: a modelling-approach based on magnitudes of changes and machine learning techniques por Hanade Houmma, I., El Mansouri, L., Gadal, S., Faouzi, E., Touré, A.A., Garba, M., Imani, Y., El-Ayachi, M., Hadria, R.

Materias: “…machine learning…”
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Small reservoirs in the northern regions of Ghana and their vulnerability to drying por Siabi, Ebenezer K., Akpoti, Komlavi, Zwart, Sander J.

Materias: “…machine learning…”
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Changes in anemia and anthropometry during adolescence predict learning outcomes: Findings from a 3-year longitudinal study in India por Nguyen, Phuong Hong, Walia, Monika, Pant, Anjali, Menon, Purnima, Scott, Samuel P.

Materias: “…learning…”
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Groundwater governance: Tools and approaches & an application to Ethiopia por Ringler, Claudia, ElDidi, Hagar, Meinzen-Dick, Ruth S., Zhang, Wei

Materias: “…social learning…”
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Crop Monitoring Using Smartphone Based Near-Surface Remote Sensing: Ground Pictures of Wheat and Auxiliary Data from Northern India por International Food Policy Research Institute, Ghent University, University of Manchester

Materias: “…machine learning…”
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Site-specific fertilizer recommendation using data driven machine learning enhanced wheat productivity and resource use efficiency por Liben, Feyera, Abera, Wuletawu, Chernet, Meklit Tariku, Ebrahim, Mohammed, Tilaye, Amsalu, Erkossa, Teklu, Degefie, Tibebe Degefie, Mponela, Powell, Kihara, Job, Tamene, Lulseged D.

Materias: “…machine learning…”
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Evaluating the dry matter content of raw yams using hyperspectral imaging spectroscopy and machine learning por Adesokan, M., Otegbayo, B., Alamu, E.O., Olutoyin, M.A., Maziya-Dixon, B.

Materias: “…machine learning…”
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Predicting aflatoxin risk in maize using machine learning and satellite data in East and Southern Africa por Gachoki, Stella, Muthoni, Francis, Mahuku, George S., Atehnkeng, J., Tripathi, Leena

Materias: “…machine learning…”
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Hybrid-AI and Model Ensembling to Exploit UAV-Based RGB Imagery: An Evaluation of Sorghum Crop’s Nitrogen Content por Hammouch, Hajar, Patil, Suchitra, Choudhary, Sunita, El-Yacoubi, A. Mounim, Masner, Jan, Kholová, Jana, Anbazhagan, Krithika, Vanek, Jirí, Qin, Huafeng, Stoces, Michal, Berbia, Hassan, Jagarlapudi, Adinarayana, Chandramouli, Magesh, Mamidi, Srinivas, Prasad, K.V.S.V., Baddam, Rekha

Materias: “…machine learning…”
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Advancing an internet research agenda for CGIAR Focus Climate Security por Carneiro, Bia, Tucci, Giulia, Taiwo, Ibukun, Olomu, Rukeme

Materias: “…machine learning…”
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In-season crop-type mapping in Kenya using Sentinel-2 imagery por Li, Hui, Guo, Zhe, Di, Liping, Guo, Liying, Zhang, Chen, Lin, Li

Materias: “…machine learning…”
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Aid effectiveness and capacity development: Implications for economic growth in developing countries por Sanyal, Prabuddha, Babu, Suresh Chandra

Materias: “…learning…”
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Underlying drivers of deforestation in the Peruvian amazon and the highland region of the Andes por Juarez, H., Pradel, W., Navarrete, C., Gutiérrez, D., Hualla, V., Vanegas, M., Sylvester, J., Castro, A.

Materias: “…machine learning…”
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A review of multimodal deep learning methods for genomic-enabled prediction in plant breeding por Montesinos-Lopez, Osval A., Chavira-Flores, Moises, Kismiantini, Crespo-Herrera, Leonardo A., Saint Pierre, Carolina, Huihui Li, Fritsche-Neto, Roberto, Khalid Al-Nowibet, Montesinos-Lopez, Abelardo, Crossa, José

Materias: “…learning…”
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Experiential learning using games in Kenya por Davis, Kristin E., Oingo, Balentine, Zhang, Wei, Kinuthia, Dickson, Hettiarachchi, Upeksha, Blackmore, Ivy, Bell, Andrew R.

Materias: “…experiential learning…”
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