Resultados de búsqueda - "Intelligence

Enhancing Kenya Agricultural Observatory Platform (KAOP) by integrating AICCRA’s AgDataHub por Akshatha, Annaiah, Dhulipala, Ram

“…The KAOP offered users and farmers access to market intelligence, 16-day weather forecasts and good agricultural practises (GAP). …”
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Farmers’ heterogeneous preferences for traits of improved varieties: Informing demand-oriented crop breeding in Tanzania por Regassa, Mekdim D., Miriti, Philip K., Melesse, Mequanint B.

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Aflatoxin free groundnuts: How to bring it to your table por Khaemba, C., Kitoto, V., Rutsaert, P., Muindi, P., Mbugua, A.

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PEPA.AI - Generating Insights for Informing Agrifood Systems Policy Decisions por Mockshell, Jonathan, Garcia Gallego, Jeffrey Steven, Mosquera Escobar, Leslie Estefany, Blanco Garcia, Maria Alejandra, Nielsen Ritter, Thea, Franco Betancourt, Gabriel, Mwanzia, Leroy, Garcia, Carolina, Resnick, Danielle

“…This innovative tool leverages artificial intelligence to empower stakeholders in Political Economy and Policy Analysis (PEPA), providing a structured, user-friendly approach to analyze policy issues and support evidence-based decision-making. …”
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Demand-driven vegetable breeding for impact por Barchenger, Derek, Zohoungbogbo, Herbaud, Ambali, Mwasilwa, Nalla, Manoj Kumar, Eybishitz, Assaf, Schreinemachers, Pepijn

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Seeds4Liberia Scaling for Impact Report 2024–2025: Advancing Seed System Governance, EGS Production, and Multi Value-Chain Innovation in Liberia por Ndindeng, S.A., Sanni, L., Fregene, B.

“…Guided by CGIAR’s Scaling for Impact (S4I) framework, the project delivered foundational market intelligence, enhanced institutional capacity, initiated large-scale early generation seed (EGS) production, strengthened private sector actors, and operationalised Liberia’s Seed Development and Certification Agency (SDCA). …”
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A manual for practitioners in community-based animal health outreach (CAHO) for highly pathogenic avian influenza por Hendrickx, Saskia C.J., El Masry, I., Atef, M., Aref, N., El Zahraa Kotb, F., El Shabacy, R., Jobre, Y.

“…The authors are glad to acknowledge using participatory epidemiology training handouts prepared by Jeffrey Mariner over the last years, the Food and Agriculture Organization publication Manual on Participatory Epidemiology: Methods for the collection of action-oriented epidemiological intelligence of which he was co-author and AU-IBAR’s Participatory epidemiology: A guide for trainers by Andy Catley.…”
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How to swarm? Organizing for sustainable and equitable food systems transformation in a time of crisis por Korner, Jana, Thornton, Philip K., Klerkx, Laurens

“…We identify four roles for AR4D within swarmed design: facilitating the directionality of swarms, fostering swarm mentality and reativity, engaging with swarms in different innovation spaces, and building up and monitoring swarm intelligence. Enacting these roles would require an enabling environment, with the main food systems actors working together in four priority areas: aligning allies around shared visions and innovation portfolios, coupling tailored funding schemes and reworked incentive systems, building more permanent spaces for boundary work, and exploring new ways for structuring science.…”
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ICTs to address information inefficiencies in food supply chains por Van Campenhout, Bjorn

“…Examples include crowd-sourced price information and market intelligence services, ICT mediated agricultural advisory services, and user-experience rating-based quality assurance. …”
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Farmers’ requirements for sorghum seed products in Tanzania por 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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Communicating information on maize hybrids through leaflets: What works from a farmer’s perspective? por Kitoto, Victor O., Rutsaert, Pieter, Donovan, Jason A., Kariuki, Sarah K.

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Rethinking the measurement of resilience for food and nutrition security por Ulimwengu, John M.

“…Recognizing the data intensity required for these metrics, the paper indicates how emerging satellite imagery and advancements in artificial intelligence (AI) can make data collection both high-frequency and location-specific, at a fraction of the cost of traditional methods. …”
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Gendered trait preferences for direct-seeded rice in Bihar, India por Connor, M., Munshi, S.

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Communicating information on maize hybrids through leaflets: What works from a farmer’s perspective? por Kitoto, V., Rutsaert, P., Donovan, J., Kariuki, S.

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Quality needs for peanut butter processors and consumers in Tanzania: Implications for breeding and value chain development por Mbugua, M., Rutsaert, P., Donovan, J., Muindi, P., Kariuki, S., Muteti, F.

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Technical Report on Business Investment Decision (BID) Tool por Jayanth, R., Rajendran, S.

“…Future development plans include expanding the web version, integrating artificial intelligence for industry comparisons and strategy formulation, incorporating real-time data, and enabling seamless integration with accounting systems.…”
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Digital agency: Empowering farmers to co-create knowledge on agroecology practices por McCampbell, Mariette, Dittmer, Kyle Michael, Shelton, Sadie, Wollenberg, Eva

“… - Combining knowledge that is co-created by many diverse people and data and information from digital tools leads to responsible hybrid collective intelligence. - Features of digital tools that support co-creation of knowledge, digital agency, and scaling of agroecology practices include that they enable knowledge integration, two-way communication, inclusive access, and responsible use…”
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A review of India's water policy and implementation toward a sustainable future por Singh, S., Goyal, M. K.

“…In this context, integrating artificial intelligence (AI), particularly in smart water management systems, presents promising implications for improving water supply efficiency and optimizing service delivery processes, proving indispensable in addressing water-related challenges, particularly in regions like India. …”
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A systematic literature review with meta-analysis of predictive modelling of Rift Valley fever outbreaks in East Africa: Machine learning and time series approaches por Mulwa, D.F., Kazuzuru, B., Misinzo, G., Bett, Bernard K.

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The Post-Malabo results framework por African Union Development Agency

“…This record includes the reports of several working groups: WG2 - Enhancing Investment Finance in Agrifood Systems; WG3 - Food Security, Nutrition, Health and Sanitary and Phytosanitary (SPS) Measures; WG4 - Emerging Technologies, Biotechnologies, Artificial Intelligence and Productivity Growth; WG5 - Inclusive and Sustainable AgroIndustrialization for Structural Transformation and Wealth Creation …”
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