Search Results - "learning"

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

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

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

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

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

Subjects: “…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 by Hanade Houmma, I., El Mansouri, L., Gadal, S., Faouzi, E., Touré, A.A., Garba, M., Imani, Y., El-Ayachi, M., Hadria, R.

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

Subjects: “…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 by Nguyen, Phuong Hong, Walia, Monika, Pant, Anjali, Menon, Purnima, Scott, Samuel P.

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

Subjects: “…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 by International Food Policy Research Institute, Ghent University, University of Manchester

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

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

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

Subjects: “…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 by 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

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

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

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

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

Subjects: “…machine learning…”
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A review of multimodal deep learning methods for genomic-enabled prediction in plant breeding by 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

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

Subjects: “…experiential learning…”
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