Resultados de búsqueda - "artificial intelligence"

Exploring the potential of customized AI chatbots in food policy research: Capabilities and constraints in comparative perspective por Benson, Todd

Materias: “…artificial intelligence…”
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AI-assisted dietary assessment and personalised “nudges” in urban youth: Feasibility and effectiveness of a mobile phone-based intervention to improve diets in Ghana por Gelli, Aulo, Folson, Gloria, Nwabuiku, Odiche, Bannerman, Boateng, Ador, Gabriel, Atadze, Vicentia, Asante, Millicent, McCloskey, Peter, Nguyen, Phuong Hong, Hughes, David

Materias: “…artificial intelligence…”
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Design of a mobile phone-based Artificial Intelligence (AI) application to assess dietary intake and provide nudges to improve healthy eating choices: Formative research in Ghana and Vietnam por Braga, Bianca C., Aberman, Noora-Lisa, Arrieta, Alejandra, Bannerman, Boateng, Burns, Adam, Folson, Gloria, Huynh, Phuong, Koch, Bastien, McCloskey, Pete, Nguyen, Phuong Hong, Zakariah-Akoto, Sawudatu, Hughes, David, Gelli, Aulo

Materias: “…artificial intelligence…”
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Phenomics for genebanks: Leveraging diversity towards new phenotypes por Wenzl, Peter

Materias: “…artificial intelligence…”
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AI-powered high-throughput phenotyping of seed yield in Urochloa: a deep learning approach por Arrechea Castillo, Darwin Alexis, Espitia Buitrago, Paula, Arboleda, Ronald David, Florian Vargas, David, Jauregui, Rosa Noemi, Cardoso, Juan Andres

Materias: “…artificial intelligence…”
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WaterCopilot: a water management AI virtual assistant for the Limpopo River Basin Digital Twin - user guide V0 202410 por Vickneswaran, Keerththanan, Retief, H., Padilha, R., Dickens, Chris, Silva, Paulo, Ghosh, Surajit, Garcia Andarcia, Mariangel

Materias: “…artificial intelligence…”
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Fine-tuned AI for tracking policy demands and studies por Yego, Francis, Song, Chun, Laporte, Marie-Angelique

Materias: “…artificial intelligence…”
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Leveraging AI for Inclusive Climate Services in Kenya (and Beyond) por Grossi, Amanda

Materias: “…artificial intelligence…”
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Building Climate Resilience in Agrifood Systems Through AI- Powered Agromet Advisory Services por Kumar, Shalander, Rao, K.P.C., Kumar, G. Kishore

Materias: “…artificial intelligence…”
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Video based deep learning deciphers honeybee waggle dances in natural conditions por Grison, Sylvain, Siddaganga, Rajath, Hedge, Shrihari, Burridge, James, Blok, Pieter M., Krishnan, Smitha, Brockmann, Axel, Guo, Wei

Materias: “…artificial intelligence…”
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Beyond the human touch: Can generative AI transform Uganda’s agricultural extension and advisory services? por Asiimwe, Elizabeth, Davis, Kristin E.

Materias: “…artificial intelligence…”
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The role of explainability in AI for agriculture: Making digital systems easier to understand for farmers por Girmay, Mengisti Berihu

Materias: “…artificial intelligence…”
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AI in qualitative research: Using large language models to code survey responses in native languages por Singh, Tushar, Kumar, Himangshu

Materias: “…artificial intelligence…”
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AI-powered location-specific fertilizer recommendation using data-driven machine and large language model (LLM) for maize and wheat in Ethiopia: genesis of TeroAI por Ndour, Adama, Gebrekidan, Bisrat Haile, Silva, João Vasco, Sida, Tesfaye Shiferaw

Materias: “…artificial intelligence…”
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SukhaRakshak AI - anticipatory drought intelligence for India por Amarnath, Giriraj, Kapoor, Sanya, Bhatpuria, Dhyey, Padhee, Suman Kumar, Rao, K. V., Sudhishri, S., Sikka, Alok

Materias: “…artificial intelligence…”
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What responsible AI must get right in fragile water contexts por McTough, Mitchell, Ruckstuhl, Sandra, Kamanda, Josey, Stifel, Elizabeth

Materias: “…artificial intelligence…”
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PROBES: Early-stage explorations of digital potential across CGIAR por Alliance of Bioversity International and CIAT, International Water Management Institute - IWMI

Materias: “…artificial intelligence…”
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AI tools for evidence exploration and use: Solutions and Lessons from the CGIAR Portfolio Performance Team por Coogan, Charlotte

Materias: “…artificial intelligence…”
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Unlocking the Potential of AI in Agricultural Research: Insights from ICRISAT’s Sensitization Workshop and Survey Findings por Rupavatharam, Srikanth, Patil, Mukund, Gelaye, Kidia, Reddy, Nagarjuna, Mitnala, Sreevani, Dhungel, Rajeev, Ravula, Padmaja

Materias: “…artificial intelligence…”
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Exploring an artificial intelligence–based, gamified phone app prototype to track and improve food choices of adolescent girls in Vietnam: Acceptability, usability, and likeability study por Braga, Bianca C., Nguyen, Phuong Hong, Aberman, Noora-Lisa, Doyle, Frank, Folson, Gloria, Hoang, Nga Thu, Huynh, Phuong, Koch, Bastien, McCloskey, Peter, Tran, Lan, Hughes, David, Gelli, Aulo

“…Objective: This study aimed to examine the acceptability, usability, and likability of a mobile phone app prototype developed to collect dietary data using artificial intelligence–based image recognition of foods, provide feedback, and motivate users to make healthier food choices. …”
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