Search Results - Intelligence tests.

Estimating and understanding crop yields with explainable deep learning in the Indian wheat belt by Wolanin, Aleksandra, Mateo-Garciá, Gonzalo, Camps-Valls, Gustau, Gómez-Chova, Luis, Meroni, Michele, Duveiller, Gregory, You, Liangzhi, Guanter, Luis

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Geographic-scale coffee cherry counting with smartphones and deep learning by Rivera Palacio, Juan Camilo, Bunn, Christian, Rahn, Eric, Little-Savage, Daisy, Schimidt, Paul, Ryo, Masahiro

“…When the model was tested in Colombia, where different varieties are grown in different biogeoclimatic conditions, the model showed an R2 of 0.71. …”
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D4N2024 Presentation Showcase – THEMATIC SESSION 6b: Digital innovations across food and health systems by Ray, Manojit, Vadsaria, Khadija, Ali, Asif, Khan, Umber, Karunarathna, Nilmini, Mandal, Raj Nandan, Mendhe, Roshan, Nordhagen, Stella

“…D4N2024 Presentation Showcase – THEMATIC SESSION 6b: Digital innovations across food and health systems Oral presentations AI and Blockchain Abetted Energy Access for E-Cooking and Post-Harvest Management Manojit Ray, Visiting Research Fellow, University of Toronto Efficacy of a Personalized Mobile Health Application in Improving Micronutrient Supplement Use among Pregnant Women in Karachi, Pakistan- A Parallel Group Randomized Controlled Trial Khadija Vadsaria, Doctoral Candidate, Aga Khan University Scaling up Nutritional Progress in Aspirational Districts of India: Insights from a Data-Driven Tool to Ensure Last Mile Tracking Asif Ali, PhD Research Scholar in Department of Geography, University of Burdwan Development and validation of an electronic application (FoodEapp) to assess the dietary intake of adults in Karachi, Pakistan Umber Suhail Khan, Consultant, Aga Khan University Rapid-fire presentations Acceptability, likability, and usability of smart devices to track and improve food choices among adolescent girls Hitihami Mudiyanselage Nilmini Jayalath Karunarathna, PhD student, Department of Applied Nutrition, Faculty of Livestock Fisheries & Nutrition, Wayamba University of Sri Lanka Enhancing health systems through digital innovations: Insights from Nepal’s Transforming Lives through Nutrition Project Raj Nandan Mandal, Sr Project Manager, Helen Keller International The Role of Artificial Intelligence and Digital Technology in Enhancing Nutritional Health in Sri Lanka Gammadde Hewa Malindya Ravihari Jayasekara, Graduate Student, University of Peradeniya Strengthening Neonatal Healthcare System in underserved areas: Leveraging Advanced Telehealth (Tele-SNCU (Special Newborn Care Unit)) Hub-and-Spoke Models to achieve Universal Health Coverage (UHC) and Neonatal Mortality Sustainable Development Goal (SDG) target Roshan Charandas Mendhe, Program Officer, PATH Developing an AI Chatbot to Help Users Explore and Understand Food Policies: A Proof-of-Concept Test focused on Bangladesh Stella Nordhagen, Research Lead, Global Alliance for Improved Nutrition…”
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Change point-driven interrupted time series and machine learning models for forecasting Indian food grain production by Chitikela, Gayathri, Rathod, Santosha, Vijayakumar, S.

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What do we know about the future of foresight modeling related to food systems? by Wiebe, Keith D., Mosnier, Aline, Mason-D'Croz, Daniel, Petsakos, Athanasios, Svensson, Johannes, Zurek, Monika

“…Foresight modeling is improving in coverage and resolution, but various technical and institutional gaps remain. Artificial intelligence can help gather and synthesize information to improve foresight modeling, but it cannot replace the role of human expertise and foresight in testing assumptions and helping to shape the future. …”
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Genetic algorithms for the sequential irrigation scheduling problem by Anwar, Arif A., Haq, Z. U.

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A flexible and practical approach for real-time weed emergence prediction based on Artificial Neural Networks by Chantre Balacca, Guillermo Ruben, Vigna, Mario Raul, Renzi Pugni, Juan Pablo, Blanco, Anibal Manuel

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Side event – “Multi-disciplinary action research for collective action and sustainable rangeland management” by Frija, Aymen, Carpentier, Irene, sghaier, amal, Idoudi, Zied

“…Rangeland governance is quite complex and cannot be effectively addressed in isolation from the imperatives of territorial intelligence and economic diversification in pastoral areas. …”
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Leveraging state of the art computer vision models for tree monitoring in silvopastoral systems by Ruiz-Hurtado, Andres Felipe, Cardoso, Juan Andres

“…This study explores the application of recent advancements in artificial intelligence models for this purpose, particularly computer vision models applied to remote sensing imagery. …”
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Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin by Gómez Selvaraj, Michael, Vergara, Alejandro, Montenegro, Frank, Alonso Ruiz, Henry, Safari, Nancy, Raymaekers, Dries, Ocimati, Walter, Ntamwira, Jules Bagula, Tits, Laurent, Omondi, Bonaventure Aman Oduor, Blomme, Guy

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Effect of iron supplementation on mental and motor development in children: systematic review of randomised controlled trials by Sachdev, H. P. S., Gera, Tarun, Nestel, Penelope

“…This effect is particularly apparent for intelligence tests above 7 years of age and in initially anaemic or iron-deficient anaemic subjects. …”
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Improving marketing strategies of local rice in Ghanaian cities: A perspective from a survey of rice purchasers by Soullier, Guillaume, Sy, Mariam Maki, Agyei-Holmes, Andrew, Méndez del Villar, Patricio

“…The advocacy of market-based approaches aims to enhance breeding and varietal adoption to meet final market demand. The CGIAR Market Intelligence Area of Work research emphasizes the role of downstream market actors in the process of varietal replacement and product substitution. …”
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The relationship of preterm and small for gestational age with child cognition during school-age years by Nguyen, Phuong Thi, Nguyen, Phuong Hong, Tran, Lan Mai, Khuong, Long Quynh, Nguyen, Son Van, Young, Melissa F., DiGirolamo, Ann, Ramakrishnan, Usha

“…Cognitive abilities were assessed using the Wechsler Intelligence Scale for Children, measuring 4 domains [verbal comprehension index (VCI), perceptual reasoning index (PRI), working memory index (WMI), and processing speed index (PSI) scores] and full-scale intelligence quotient (FSIQ) at 6–7 and 10–11 y. …”
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Transdisciplinary approaches to target product profile (product concept) design: NARES-IRRI partnerships in Africa by Mangwana, Kennedy, Dixit, Shalabh, Menge, Daniel, Panchbhai, Ajay

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Co-limitation toward lower latitudes shapes global forest diversity gradients by liang, Jingjing, Gamarra, Javier G.P., Picard, Nicolas, Zhou, Mo, Pijanowski, Bryan, Jacobs, Douglass F., Reich, Peter B. , Crowther, Thomas W., Nabuurs , Gert-Jan, de-Miguel, Sergio, Peri, Pablo Luis, Hui, Cang

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Promoting school readiness through a preschool feeding program: A nutritional nudge to improve at-risk preschooler’s cognitive development in Armenia by Knauer, Heather A., Balasanyan, Sona, Bakhshinyan, Elmira, Alderman, Harold

“…In this cluster-randomized controlled trial, we tested the effects of adding a morning snack to a school lunch program on the fluid intelligence of 951 children ages 4 to 6 years. …”
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Enhancing Meghdoot: Integrating AI for Smarter Agricultural Advisories by Dhulipala, Ram, Singh, Kanika

“…Digital Innovation Initiative at ILRI, in collaboration with partners, is integrating Artificial Intelligence (AI) into Meghdoot to enhance its efficiency and accuracy. …”
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Farmers’ requirements for sorghum seed products in Tanzania by Mbugua, Mercy, Donovan, Jason A., Rutsaert, Pieter, Gandhi, Harish, Tamerlane Mark Nas, Templer, Noel A., de Sousa, Kaue, Mawia, Harriet, Ojiewo, Chris O., Gichuru, Lilian

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Development of the AgWise forecast-based Optimum Planting Date and Cultivar Advisory Framework by Ahmed, Jemal Seid, Aguilar Ariza, Andres, Degefie, Degefie Tibebe, Louise Leroux, Mkuhlani, Siyabusa, Worku, Wuletawu Abera, Llanos Herrera, Lizeth, Ramirez Villegas, Julian Armando, Ghosh, Aniruddha

“…It operationalizes the forecast-based action, bridging the gap between global climate intelligence and local agricultural services- enabling governments and partners to act early, plan better, and manage risk more efficiently. …”
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Future market segments for hybrid maize in East Africa by Rutsaert, Pieter, Donovan, Jason A., Mawia, Harriet, Sousa, Kauê de, Etten, Jacob van

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