Resultados de búsqueda - "India"

D4N2024 Presentation Showcase – Thematic Session 2b: Natural and built food environments por Karunanayaka, Madusha, Wadhwa, Rajni, Perera, Thushanthi, Ganpule-Rao, Anjali, Bi, Afrin Zainab, Shah, Nadia, Madurawala, Sunimalee, Scott, Samuel P., Tahsin, Mariha

“…D4N2024 Presentation Showcase – Thematic Session 2b: Natural and built food environments Oral presentations: Drivers of Adolescents’ Food Choices: Exploring the Influence of the School Food Environment Muhandiramlage Madusha Sanjeewani Karunanayaka, PhD student, Wayamba University of Sri Lanka Empowering Rural Households: Enhancing Nutritional Security and Sustainable Gardening through Capacity Building and Community-Led Initiatives Rajni Omprakash Wadhwa, Director – Programs, Plan International Examining Food Environments in Sri Lanka: Gaps in Research and Implications for Diet and Health Thushanthi Perera, Senior Lecturer, Wayamba University of Sri Lanka Impact of adverse food environments on overweight, obesity and HbA1c levels in India findings from a large population cohort Anjali Ganpule-Rao, Senior Research Associate, Centre for Chronic Disease Control Healthfulness of retail food environment in rural South Asia Afrin Zainab Bi, Assistant Scientist, International Rice Research Institute Rapid-fire presentations: Findings from an integrated household food systems approach to improve nutrition in rural communities Nadia Shah, Senior Lecturer, School of Public Health Dow University of Health Sciences From Policy to Practice: Examining Industry Influence on Public Health Policies for Healthier Food Environments in Sri Lanka Dona Sunimalee Pramuditha Madurawala, Research Economist, Institute of Policy Studies of Sri Lanka Using mixed methods to improve how we measure large-scale food fortification coverage in household surveys Samuel Scott, Research Fellow, International Food Policy Research Institute From Hunger to Hope: The Role of Food Price Inflation in Urban Poor Participation in the 2024 Bangladesh Revolution and Post-Revolutionary Food Security Satisfaction Mariha Tahsin, Former Head of Urban Development Initiatives, Sajida Foundation…”
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Multivariate data analysis assisted mining of nutri-rich genotypes from North Eastern Himalayan germplasm collection of Perilla (Perilla frutescens L.) por Kaur, Simardeep, Godara, Samarth, Singh, Naseeb, Kumar, Amit, Pandey, Renu, Adhikari, Sneha, Jaiswal, Sandeep, Singh, Sanjeev Kumar, Rana, Jai Chand, Bhardwaj, Rakesh, Singh, Binay Kumar, Riar, Amritbir

“…Understanding the nutritional diversity in Perilla (Perilla frutescens L.) is essential for selecting and developing superior varieties with enhanced nutritional profiles in the North Eastern Himalayan (NEH) region of India. In this study, we assessed the nutritional composition of 45 diverse perilla germplasm collected from five NEH states using standard protocols and advanced analytical techniques. …”
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Modelling groundwater futures under climatic uncertainty for local policy and planning: a case of quantification of groundwater resources at sub-regional level in the Ganges basin por Mizan, Syed Adil, Sikka, Alok, Chakraborty, Shreya, Laing, Alison M., Urfels, Anton, Krupnik, Timothy J.

“…Study region: Nalanda district, Bihar, India, a sub-tropical region, and part of middle Ganga River basin. …”
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D4N2024 Presentation Showcase – THEMATIC SESSION 6b: Digital innovations across food and health systems por 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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Genetic variability and divergence studies for yield and its related traits in rice (Oryza sativa L.) por Singh, S. K., Kumar, S. C. Manoj, Korada, Mounika, Khaire, Amrutlal, Majhi, Prasanta Kumar, Singh, D. K., Jayasudha, S.

“…In this view, fifty-five rice genotypes were evaluated for studying the genetic parameters (genetic variability, heritability and genetic advance as percent of mean) and genetic divergence for yield contributing characters at three different locations in Eastern Uttar Pradesh, India. The study was conducted during Kharif 2020 using Alpha lattice design. …”
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Simulation of rice blast epidemics under current and projected climate change scenarios por Callejo, Abel Melquiades, Mirni, Eka, Carvajal, Raphael, Ortega, Kendrix, Pangga, Ireneo, Castilla, Nancy

“…Potential leaf blast epidemics were mapped in Bangladesh, India, Indonesia and the Philippines using projected weather data generated by the Australian Community Climate and Earth System Simulator (ACCESS) Coupled Model for the 6th Coupled Model Intercomparison Project (CMIP6) of International Panel for Climate under two climate scenarios. …”
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A scalable crop yield estimation framework based on remote sensing of solar-induced chlorophyll fluorescence (SIF) por Kira, Oz, Wen, Jiaming, Han, Jimei, McDonald, Andrew J., Barrett, Christopher B., Ortiz-Bobea, Ariel, Liu, Yanyan, You, Liangzhi, Mueller, Nathaniel D., Sun, Ying

“…We then apply this framework to estimate crop yield for two crops (corn and wheat) in two contrasting regions, the US Corn Belt US-CB, and India's Indo–Gangetic plain Wheat Belt IGP-WB, respectively. …”
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Agroecology homestead models: enhancing nutrition, soil health, and income for tribal farmers [Abstract only] por Kumar, Gopal, Malaiappan, Sudharsan, Sikka, Alok, Konwar, D., Singh, S.

“…Tribal communities in Madhya Pradesh, India are characterised by limited interaction with outside world and minimal exposure to developmental initiatives, heavily rely on self-production and the collection of Non-Timber Forest Products (NTFP) for sustenance. …”
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Report on state-level training programme for farmer producer organizations in Odisha por International Food Policy Research Institute, Government of Odisha

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Characterization of finger millet global germplasm diversity panel for grain nutrients content for utilization in biofortification breeding por Backiyalakshmi, Chinnadurai, Babu, Chakrapani, Deshpande, Santosh, Govindaraj, Mahalingam, Gupta, Rajeev, Sudhagar, Rajaprakasam, Naresh, Dagunapur, Anitha, Seetha, Peerzada, Ovais, Sajja, Sobhan, Singh, Kuldeep, Vetriventhan, Mani

“…A finger millet diversity panel consisting of 310 accessions and four controls was evaluated in two rainy seasons at International Crops Research Institute for the Semi-Arid Tropics, Hyderabad, India, to assess variability for grain nutrient content and its association with agronomic traits and identify promising accessions. …”
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Secondary data analysis using evidence-based bayesian networks with an application to investigate the determinants of childhood stunting por Yet, Barbaros, Öykü Başerdem, Elif, Rosenstock, Todd

“…The BN model puts together the rich published evidence in this domain in a BN structure and evidence-base while learning the parameters of this model from the Demographic and Health Survey (DHS) datasets for India and Senegal. We compared the BNs built by our approach to BNs learned purely from secondary data using structure learning algorithms. …”
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Assessing the accuracy of multi-model approaches for downscaling land surface temperature across diverse agroclimatic zones por Roy, Debasish, Das, Bappa, Singh, Pooja, Santra, Priyabrata, Deb, Shovik, Bhattacharya, Bimal Kumar, Govind, Ajit, Jatav, Raghuveer, Sethi, Deepak, Ghosh, Tridiv, Mukherjee, Joydeep, Sehgal, Vinay Kumar, Prakash Kumar Jha, Goroshi, Sheshakumar, Prasad, P. V. Vara, Chakraborty, Debashis

“…The analysis was performed at agricultural farms in the semi-arid, arid, and per-humid regions of India during the winter and summer seasons of 2020-21 and 2021-22. …”
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Assessing the accuracy of multi-model approaches for downscaling land surface temperature across diverse agroclimatic zones por Roy, Debasish, Das, Bappa, Singh, Pooja, Santra, Priyabrata, Deb, Shovik, Kumar Bhattacharya, Bimal, Govind, Ajit, Jatav, Raghuveer, Sethi, Deepak, Ghosh, Tridiv, Mukherjee, Joydeep, Kumar Sehgal, Vinay, Kumar Jha, Prakash, Goroshi, Sheshakumar, Vara Prasad, V. P., Chakraborty, Debashis

“…The analysis was performed at agricultural farms in the semi-arid, arid, and per-humid regions of India during the winter and summer seasons of 2020–21 and 2021–22. …”
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Patterns of livelihood diversification in farming systems of the Eastern Gangetic Plains por Jackson, Tamara M., Nandi, Ravi, Jannat, Arifa, Ghosh, Arunava, Hajra, Dilip Kumar, Mitra, Biplab, Rashid, Md Mamunur, Bista, Sagar, Chaudhary, Anjana, Timsina, Pragya, Karki, Emma, Chakma, Kali Rattan, Rana, Gunjan, Kishore, Avinash

“…METHODS Utilizing data from the Rupantar project involving a baseline survey of 1400 households across India, Nepal, and Bangladesh, and a subsequent analysis employing the Simpson's Index of Diversity (SID) to quantify diversification levels. …”
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Food acquisition, preparation, and consumption practices in South Asia: A scoping review of assessment tools por Patwardhan, Sharvari, Boncyk, Morgan, Avula, Rasmi, Blake, Christine E., Akter, Fahmida, Das, Jai K., Silva, Renuka, Menon, Purnima, Scott, Samuel P.

“…We undertook systematic keyword searches of three databases (PubMed, Scopus, and Web of Science Core Collection) to identify studies assessing food acquisition, food preparation, and household consumption practices in Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka, published in English between 2000 and April 2025. …”
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Nutritional profiling of horse gram through NIRS-based multi-trait prediction modelling por Kumari, Manju, Padhi, Siddhant Ranjan, Arya, Mamta, Yadav, Rashmi, Latha, M, Pandey, Anjula, Singh, Rakesh Kumar, Bhardwaj, Chellapilla, Kumar, Atul, Rana, Jai Chand, Bhatt, Kailash C, Bhardwaj, Rakesh, Riar, Amritbir

“…Being a nutritious legume, it plays an important role in human nutrition in developing countries like India. Conventional assessment of nutritional traits, are labour and time intensive for screening of huge germplasm, hence alternative and rapid technique for conventional method for the determination of nutritional components of horse gram flour is needed. …”
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Comparative analysis of UAV and electric backpack sprayers for herbicide efficacy and crop-weed nutrient dynamics in direct-seeded rice por Paul, R. Arockia Infant, Arthanari, P. Murali, Peramaiyan, Panneerselvam, Kumar, Virender, Bagavathiannan, Muthukumar, Surya, K.

“…An experiment was conducted at Tamil Nadu Agricultural University, Coimbatore, India, during the kharif (2022) and rabi (2022–2023) seasons to test the pre-emergence (PE), early post-emergence (EPOE) and post-emergence (POE) herbicides using UAVs and EBS. …”
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Update on Outcomes of Animal Recording Decision Support System, AICCRA – CBBP Integration por Santos, Bruno, Tonder, Joene van, Teviotdale, Mark, Getachew, Tesfaye, Rischkowsky, Barbara A., Haile, Aynalem

“…Collaboration with partners such as Chanda Nimbkar has also facilitated the onboarding of new regions, including NARI village in India. The report highlights ongoing efforts to address data gaps, improve report clarity, and support broader participation in CBBPs. …”
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Impacts of farming advisory videos hinge on the goals of extension actors that share them por Coggins, Sam, Munshi, Sugandh, Smith, Jeremy Ingle, Yadav, Anil Kumar, Poonia, Shishpal P., Patil, Shridhar, Singh, Narendra Kumar, Sawarn, A., Ireland, D.C., Singh, Deepak Kumar, Liu, J., Glover, Dominic, Sherpa, Sonam, Sohane, Ravindra Kumar, Craufurd, Peter

“…This study examined how and why extension workers shared farming videos with farmers, revealing divergent appropriation patterns and their implications for digitization in agriculture. 294 extension workers in Bihar (India) were asked to circulate three wheat agronomy videos with farmers. …”
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Early warning AI agent for pest, disease, and weed in Viet Nam por Kim, Soonho, Liu, Yanyan

“…Currently in active development, the project is moving toward a 2026 roadmap that includes rigorous ground-truthing of data with domain specialists and expanding the solution's geographic scope to India. By integrating management intelligence from trusted platforms such as Digital Green, PlantVillage, and Plantix, the agent will evolve from a detection tool into a comprehensive early warning platform for pests, diseases, and weeds.…”
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