Resultados de búsqueda - "Intelligence

Foires aux semences : un concept innovant et intelligent pour promouvoir les semences résistantes au stress por Odubote, Kolawole, Mulila-Mitti, Joyce, Ajayi, Oluyede C., Kadzamira, Mariam A.T.J.

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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

“…To further improve the provisioning of crop management advisories, Artificial Intelligence (AI) techniques were used in a pilot project as an alternative to the existing labor-intensive manual process. …”
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Utilizing Artificial Intelligence and Remote Sensing to Detect Prosopis juliflora Invasion: Environmental Drivers and Community Insights in Rangelands of Kenya por Paliwal, Ambica, Mhelezi, Magdalena, Galgallo, Diba, Banerjee, Rupsha R., Malicha, Wario, Whitbread, Anthony M.

“…This study assesses the effectiveness of artificial intelligence (AI) and remote sensing in monitoring the invasion of Prosopis juliflora in Baringo County, Kenya. …”
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From soil intelligence to “Made-in-Rwanda” fertiliser blends: The journey of RAB and CGIAR Sustainable Farming Program through CIP por International Potato Center

“…This blog documents Rwanda’s transition from generic fertilizer recommendations to data-driven, site-specific nutrient management based on soil intelligence. Through collaboration between the Rwanda Agriculture and Animal Resources Development Board (RAB), the CGIAR Sustainable Farming Program, and CIP, soil analysis and digital tools were translated into locally produced “Made-in-Rwanda” fertilizer blends. …”
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Classifying the risk of forest loss in the Peruvian amazon rainforest: An alternative approach for sustainable forest management using artificial intelligence por Goycochea Casas, Gianmarco, Baselly Villanueva, Juan Rodrigo, Coimbra Limeira, Mathaus Messias, Eleto Torres, Carlos Moreira Miquelino, Garcia Leite, Hélio

Materias: “…Artificial intelligence…”
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Comparison of latent variable-based and artificial intelligence methods for impurity detection in PET recycling from NIR hyperspectral images por Galdon-Navarro, Borja, Prats-Montalbán, José M., Cubero, Sergio, Blasco, José, Ferrer, Alberto

“…Thus, this paper presents a design of experiments-based methodology for comparing and selecting, for the problem at hand, the best preprocessing technique, and the best latent variable-based and/or artificial intelligence classification method, when using NIR hyperspectral images. …”
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Building the capacity of National Agricultural Research Systems in applying PEPA.AI for evidence-based agrifood policy analysis: Training workshop report por Mockshell, Jonathan, Mosquera, Leslie Estefany, Barungi, Julian, Okonya, Joshua

Materias: “…artificial intelligence-ai (artificial intelligence)…”
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Market intelligence for guiding crop improvement: A systematic review of stakeholder preference studies in the rice sector in the Global South and beyond por Custodio, M.C., Demont, M., Steur, H. de

“…These insights can help refocus market intelligence research to aid crop improvement in addressing food, nutrition, and climate challenges in the Global South, which may be expanded globally.…”
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Modelling agricultural drought: a review of latest advances in big data technologies por Houmma, I.H., El Mansouri, L., Gadal, S., Garba, M., Hadria, R.

Materias: “…artificial intelligence…”
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Longa: An automated speech recognition tool for Bantu languages por Mganga, Nelson, Jones-Garcia, Eliot, Monsalue, Andrea Gardeazabal, Koo, Jawoo

Materias: “…artificial intelligence…”
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Can we trust large language models to summarize food policy research papers and generate research briefs? por Kim, MinAh, Koo, Jawoo, Jung, Yunchul

Materias: “…artificial intelligence…”
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Demand-led system approaches boost early generation seed production and enhance common bean seed and grain supply in Zambia por Mulube, Mwiinga, Lungu, Robert, Aseete, Paul, Kalemera, Sylvia, Cheyo, Esther, Nkhata, Wilson, Birachi, Eliud, Rubyogo, Jean Claude

Materias: “…market intelligence…”
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AI-assisted dietary assessment and personalized “nudges” in urban Ghana: Preparing for scale-up por Gelli, Aulo, Folson, Gloria, Nwabuikwu, Odiche, Bannerman, Boateng, Ador, Gabriel, Atadze, Vicentia, Asante, Millicent, McCloskey, Peter, Nguyen, Phuong Hong, Hughes, David

Materias: “…artificial intelligence…”
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Harnessing AI por Ravirajan, Ravi Rajan, Babu, Suresh Chandra

Materias: “…artificial intelligence…”
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Shamba Showdown: Ukama Ustawi- Progress Report #6b por Shapiro, Jay, Odera, Denis, Kigo, Samm, Muhoro, Nathan, Girvetz, Evan, Ghosh, Aniruddha

Materias: “…artificial intelligence…”
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AI Monitoring Approach to Fill National Food Loss and Waste Data Gaps por Guo, X., Axmann, H.B., Soethoudt, J.M., Kok, M.G.

Materias: “…artificial intelligence…”
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Trust the messenger? The role of AI transparency in policy research communication por Keenan, Michael, Koo, Jawoo, Mwangi, Christine Wamuyu, Karachiwalla, Naureen, Breisinger, Clemens, Kim, MinAh

Materias: “…artificial intelligence…”
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Impacts of personalized picture-based crop advisories: Experimental evidence from India and Kenya por Ceballos, Francisco, Chugh, Aditi, Kramer, Berber

Materias: “…artificial intelligence…”
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Enhancing market segmentation with GloMIP's Impact Opportunities Portal por Lenaerts, Bert, Paguirigan, Neale Marvin, Demont, Matty

Materias: “…market intelligence…”
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Ground reference dataset for crop type mapping and monitoring in four districts of Rwanda por Kenduiywo, Benson Kipkemboi, Wahome, Anastasia Mumbi, Sande, Stephen Ngondi, Chemutt, Joseph Kipkoech

Materias: “…artificial intelligence…”
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