Resultados de búsqueda - "Natural_language_processing"

The Amazon Biome in Messages: Topic Explorer por Ruscica, Giosue, Carneiro, Bia

Materias: “…natural language processing…”
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A Natural Language Processing Pipeline to extract phenotypic data from formal taxonomic descriptions with a focus on flagellate plants por Endara L., Burleigh G., Cooper L., Jaiswal, P., Laporte, Marie-Angélique

“…New semi-automated Natural Language Processing (NLP) pipelines can extract phenotypic data from taxonomic descriptions, and their performance can be enhanced by incorporating information from ontologies, like the Plant Ontology (PO) and the Plant Trait Ontology (TO). …”
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A review on knowledge and information extraction from PDF documents and storage approaches por Atagong, S.D., Tonnang, H.E.Z., Senagi, K., Wamalwa, M., Agboka, K.M., Odindi, J.

Materias: “…natural language processing…”
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Nowcasting food insecurity interest with google trends data por Caravaggio, Nicola, Carneiro, Bia, Resce, Giuliano

Materias: “…natural language processing…”
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Using TeleCatch to investigate human mobility discourses in the African Telegram sphere por Carneiro, Bia, Tucci, Giulia

Materias: “…natural language processing…”
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WaterCopilot: an AI-driven virtual assistant for water management por Vickneswaran, Keerththanan, Garcia Andarcia, Mariangel, Retief, H., Dickens, Chris, Silva, Paulo

Materias: “…natural language processing…”
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Digital artifacts reveal development and diffusion of climate research por Carneiro, Bia, Resce, Giuliano, Sapkota, Tek Bahadur

Materias: “…natural language processing…”
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Social Media Analysis: CGIAR Climate Security Observatory por Carneiro, Bia, Resce, Giuliano, Ruscica, Giosuè, Simone, Daniele di

Materias: “…natural language processing…”
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ICTforAg 2024: Virtual day session. Monitoring food security trends in digital spaces: A multi-platform approach to nowcast food insecurity por Carneiro, Bia, Tucci, Giulia, Resce, Giuliano, Johnson, Kiersten, Caravaggio, Nicola

Materias: “…natural language processing…”
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Croppie: AI-powered information extraction from natural language por García-Acosta, Sebastian

“…This report addresses the fundamental challenge of extracting key fields from natural language text in the context of natural language processing (NLP). Focusing on Spanish text, our solution, integrated into Croppie, offers an efficient and precise method for extracting essential information. …”
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Integration of Artificial Intelligence (AI) to generate personalized weather and crop advisories: A case study of Meghdoot app in India por Singh, Kanika, Dhulipala, Ram, Billu, Naveen, Chawala, Kapil, Vishnoi, Lata

“…It utilizes an OpenAI quick architecture for natural language processing and a Random Forest regressor for predictions.…”
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Text mining and machine learning reveal global determinants of food insecurity por Carneiro, Bia, Resce, Giuliano, Caravaggio, Nicola, Santangelo, Agapito Emanuele, Ruscica, Giosue, Tucci, Giulia, Pacillo, Grazia, Eilert, Gary, Läderach, Peter, Coffey, Kevin

“…This study applies Natural Language Processing (NLP) and Machine Learning (ML) to investigate global historical trends in food security. …”
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Automatic speech recognition model development report por Mganga, Nelson, Jones-Garcia, Eliot, Koo, Jawoo

“…This project builds on previous work where an earlier study sought to establish proof of concept on how speech recognition, along with natural language processing and text analysis techniques, can help to better identify farmer demands and target digital extension, particularly in the Global South. …”
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Informing CAADP 2026–2035: What a decade of IFPRI Research in Africa tells us por Ulimwengu, John M., Hema, Aboubacar, Marivoet, Wim, Omamo, Steven Were

“…Drawing from almost 5,700 publications between 2015 and 2025, and using a combination of natural language processing (NLP), deep learning algorithms and rule-based approaches, the review maps key findings against CAADP’s six strategic objectives: (1) intensifying sustainable food production, agro-industrialization, and trade; (2) boosting investment and financing for agrifood systems transformation; (3) ensuring food and nutrition security; (4) advancing inclusivity and equitable livelihoods; (5) building resilient agrifood systems; and (6) strengthening agrifood systems governance. …”
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Foresight research in sustainable food systems and their interconnection with the Sustainable Development Goals por Orjuela Ramirez, Guillermo

“…This baseline exploratory study illustrates the utility of bibliometric datasets and natural language processing methods for understanding the connection between scientific outputs (research articles) and societal goals (Sustainable Development Goals). …”
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Research-policy linkages: Empirical evidence from agroeconomic research in India por Balaji, S. J., Babu, Suresh Chandra, Pal, Suresh

“…To broaden our understanding, we employ latent Dirichlet allocation, a natural language processing technique that identifies crucial issues and automates their classification under appropriate clusters, to examine synergies between the research and policy systems. …”
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Data-driven insights from farmer call center logs in India: Developing a scalable framework for digital agroclimate advisory por Tibebe, Degefie, Ghosh, Aniruddha, Seid, Jemal, Engdaw, Mastawesha

“…Using on-disk processing (DuckDB) for multi-million-record repositories, the workflow standardizes dates and administrative locations, de-identifies sensitive fields, and applies multilingual natural language processing (NLP) to (i) classify calls into WEATHER_DIRECT, WEATHER_TRIGGERED_AG, and OTHER intents and (ii) map climate-related calls into interpretable topic groups (e.g., rainfall/monsoon, sowing/onset timing, irrigation and water management). …”
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WaterCopilot: a water management AI virtual assistant for the Limpopo River Basin Digital Twin - technical guide por Vickneswaran, Keerththanan, Retief, H., Padilha, R., Dickens, Chris, Silva, Paulo, Garcia Andarcia, Mariangel

“…WaterCopilot integrates advanced natural language processing with real-time data retrieval to address key challenges in water resource management, including fragmented information sources, manual data processing, and delays in response. …”
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The Compound Risk Framework: Assessing fragility and key drivers of food insecurity in Haiti, Mozambique and Ghana por Minoarivelo, Onivola Henintsoa, Craparo, Alessandro, Basel, Ashleigh Megan, Nguyen, Kien Tri, Ouedraogo, Yacouba, Douglas, Wesley, Melly, Brigitte, Dao, Hoa, Carneiro, Bia, Pacillo, Grazia, Laderach, Peter

“…The framework offers a holistic perspective on compound risk assessment by drawing on comprehensive data sources, FEWS NET analyses, and employing advanced techniques, such as natural language processing, digital platform monitoring and supervised machine learning algorithms. …”
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