Search Results - Intelligence levels.

A bibliometric analysis of solar energy forecasting studies in Africa by Zwane, N., Tazvinga, H., Botai, C., Murambadoro, M., Botai, J., Wit, J. de, Mabasa, B., Daniel, S., Mabhaudhi, Tafadzwanashe

“…Three emerging topics were identified from the thematic map analysis— namely, “solar irradiance”, “artificial intelligence” and “clear sky”, which implies that researchers are paying attention to solar irradiance, using modelling techniques that incorporate machine learning techniques. …”
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Harnessing Regional Frameworks for Weather, Water, and Climate Services in Africa Key to Securing its Climate Future by Amha, Yosef, Demissie, Teferi, Solomon, Dawit

“…The steps above are foreseen to achieve coordination among regional institutions and guarantee an appropriate design for providing climate services to the NFWWWS at country levels. If it is executed correctly, the RFWWCS will increase coordination of the regional institutions in co-producing and communicating WWCS; governance and institutional arrangements through clarity in roles and responsibilities among the stakeholders; alignment with global, regional, and national initiatives on the long-term sustainability of climate services within various sectors; building on existing initiatives and infrastructure; integrating recent advances in technology for improved service delivery in areas such as Earth observation and artificial intelligence. …”
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AI-powered detection and quantification of Post-harvest Physiological Deterioration (PPD) in cassava using YOLO foundation models and K-means clustering by Gomez Ayalde, Daniela, Giraldo Londono, Juan Camilo, Quiroga Mosquera, Audberto, Luna-Melendez, Jorge Luis, Gimode, Winnie, Tran, Thierry, Zhang, Xiaofei, Selvaraj, Michael Gomez

“…Moreover, Artificial Intelligence (AI)-based algorithms allow for efficient analysis of large datasets, enabling rapid screening of cassava roots for PPD symptoms. …”
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Convolutional neural networks to assess bergamot essential oil content in the field from smartphone images by Anello, Matteo, Mateo, Fernando, Bernardi, Bruno, Giuffrè, Angelo Maria, Blasco, José, Gómez-Sanchis, Juan

“…The application of advanced modelling techniques based on artificial intelligence and digital device technology can contribute to this goal. …”
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Report of CGIAR Digital Transformation Accelerator Strategy dialogue by Ojanji, Wandera, Dhulipala, Ram

“…Executive summary On 10 April 2025, during CGIAR Science Week at the United Nations Office in Nairobi, CGIAR convened over 300 stakeholders for the Digital Transformation Accelerator (DTA) strategy dialogue. This high-level event marked a significant milestone in CGIAR’s journey to become a leader in inclusive, data-driven transformation of food, land, and water systems. …”
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Long term association between of maternal preconception hemoglobin and anemia and child health and development in Vietnam by Young, Melissa F., Nguyen, Phuong Hong, Tran, Lan Mai, Khuong, Long Quynh, Martorell, Reynaldo, Ramakrishnan, Usha

“…Multivariable linear and logistic regressions were used to assess the association between preconception Hb or anemia (Hb < 11g/dL) on child health and development outcomes, adjusted by supplementation group (tested for interactions) and confounding at maternal, child and household levels. Results: At preconception enrollment, 20% of the women were anemic. …”
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Knowledge and Data Sharing - Annual Technical report 2023 by Ramírez, Margarita M., Castiblanco, Claudia, Pizo, Cristian, Almanzar, Manuel R, Tanaka, Kenji, Tobon, Hector

“…Throughout the past year, our commitment to advancing evidence-based decision-making has been fundamental in transforming the management of research integrity, quality, and value at the cluster level within the AICCRA project. We have cultivated a culture focused on results in project monitoring and evaluation (M&E), leveraging the capabilities of MARLO to streamline our planning and reporting processes. …”
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Initial evaluation of models to predict methane production based on VIS-NIR signatures captured in the field by Gonzalez Guzman, Juan Jose, Penafiel, Jorge, Cardoso, Juan Andres, Lopez, Diana Carolina, Jones, Chris, Jauregui, Rosa, Sanchez, Miguel, Marin, Alejandra, Wenzl, Peter, Arango, Jacobo

“…These accessions correspond to legume species adapted to tropical lowland conditions, characterized by their tolerance to low soil fertility and high aluminum levels, common challenges in many tropical regions. …”
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Kenya's Climate Smart Governance Dashboard: training manual by Alahacoon, Niranga, Amarnath, Giriraj

“…This includes roles such as Super Admin, National Admin, State/Provincial Admin, and District/Sub-district Level Admins. Each role is tailored with specific responsibilities, and primary users have limited access to reporting and viewing purposes, ensuring efficient operation across administrative levels.…”
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CIMAT: a knowledge-based system for developing criteria & indicators for sustainable forest management by Haggith, M., Prabhu, Ravi, Purnomo, H., Rizal, A., Taylor, J., Yasmi, Yurdi, Sukadri, D.

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Implications of the ban on rice cultivation in Uganda’s wetlands for breeding and seed systems programing by Twine, Edgar E.

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Digital framework for georeferenced multiplatform surveillance of banana wilt using human in the loop AI and YOLO foundation models by Mora, Juan Jose, Blomme, Guy, Safari, Nancy, Elayabalan, Sivalingam, Selvarajan, Ramasamy, Selvaraj, Michael Gomez

“…Human in the Loop Artificial Intelligence was also utilized to enhance the ground level model’s predictions.…”
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Analysis of the socio-economic determinants of consumer rice choice: the case of local and imported rice in Benin by Arouna, A., Gandonou Migan, J., Yergo, W., Gandonou, E.

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Data-driven insights from farmer call center logs in India: Developing a scalable framework for digital agroclimate advisory by Tibebe, Degefie, Ghosh, Aniruddha, Seid, Jemal, Engdaw, Mastawesha

“…This progress report documents the development of an AI-enabled pipeline that converts India’s call center logs into operational agroclimatic intelligence for targeting, prioritization, and message refinement. …”
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Nutrition, cognition, and social emotion among preschoolers in poor, rural areas of South Central China: Status and correlates by Chen, Kevin Z., Liu, Chengfang, Liu, Xinghua, Wang, Zimeiyi, Luo, Renfu, Li, Shaoping, Yu, Yanying, Alderman, Harold

“…We believe that our results will contribute to the debate surrounding whether the nutritious lunch program in China should be expanded to the preschool education level.…”
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Food system innovations and digital technologies to foster productivity growth and rural transformation by Benfica, Rui, Chambers, Judith A., Koo, Jawoo, Nin-Pratt, Alejandro, Falck-Zepeda, José B., Stads, Gert-Jan, Arndt, Channing

“…Given their transformative potential and the urgency of developing the enabling R&D and trajectories required for impact, we highlight genome editing bio-innovations, specifically CRISPR-Cas9, to address sustainable agricultural growth; and digital technologies, including remote sensing, connected sensors, artificial intelligence, digital advisory services, digital financial services, and e-commerce, to help guide the operations and decision-making of farmers, traders, and policymakers in agricultural value chains. …”
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Digital data and tools for managing agriculture: focusing on earth observation data and climate change by Ghosh, Surajit, Mallick, A., Dawn, A., De Sarkar, K., Chowdhury, A., Kour, S., Ghosh, A., Holmatov, Bunyod

“…Among the attendees, 52% were at the graduate and post-graduate level, while 26% of the participants were research scholars from various Indian institutions. …”
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Evaluación de modelos de aprendizaje automático para la predicción de Boro en suelos Andisoles de Nariño-Colombia by Álvarez Sánchez, David, López Estrella, Xilena, Manso Ordoñez, Eduar, López Rivera, Laura, Rodriguez Valenzuela, Jeison

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Val av material och utformning av sinnesträdgårdar för gravt utvecklingsstörda by Hermansson, Malin

“…Seriously intellectually handicapped people have the same level of intelligence as a normal 0-2 year old child. …”

Transitioning from consensual to objective seasonal climate and hydrological forecasting in West Africa and the Sahel by Tanimoune, Laouali I, Assoumana, Boubacar Toukal, Mohamed, Hamatan, Halidou, Tinni Seydou, Ali, Abdou, Kiema, Arsene, Nimon, Pouwereou, Soumana, Djibo, Houngnibo, Mandela C M, Segnon, Alcade Christel, Zougmore, Robert Bellarmin

“…This report highlighted key insights and shared priorities from the high-level meeting with the NMHSs Directors in West Africa and the Sahel. …”
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