Resultados de búsqueda - "Intelligence

Mapping nutrition and gender impacts opportunities in potato market segments por Sylvester Okoth Ojwang, Julius Juma Okello, Mwende, Janet, Mendes, Thiago, Ssali, Reuben, Polar, Vivian, Mayanja, Sarah, Lindqvist-Kreuze, Hannele, Campos, Hugo

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Delivering Bundled Gender Sensitive Livestock Climate Information Services por CGIAR Research Initiative on Livestock and Climate, International Livestock Research Institute

“…Our approach was to deliver tailored and gender-sensitive climate information services, participatory agro-climate advisories, innovative financial products (insurance and climate- linked credit) and digital market intelligence tools.…”
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Digital solutions for Africa’s water management por Velpuri, Naga Manohar, Seid, Abdulkarim, Leh, Mansoor, Mekonnen, Kirubel, Haile, Alemseged Tamiru, Garcia Andarcia, Mariangel, Owusu, Afua, Akpoti, Komlavi, Storr, Samuel, Greatrix, Emma, Wamba, Elizabeth

“…By integrating Earth observation, artificial intelligence (AI), and advanced analytics with stakeholder engagement and capacity development, DIWASA provides tools and data to support evidence-based planning and decision-making. …”
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Potato production, marketing, and utilization in Meghalaya, India: Results of a value chain assessment. por Chulet, H., Anantharaman, M., Shanpru, E., Prain, Gordon

“…Potential interventions in potato marketing include providing market intelligence, building the entrepreneurial capacity of farmers, identifying processing options, and developing a branding strategy for Meghalaya potatoes to market to other states.…”
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Seed hubs for East and Southern Africa: mobilizing knowledge and resources for resilient seed systems por Alliance of Bioversity International and CIAT, Wageningen Centre for Development Innovation

“…The hubs will be demand driven and provide intelligence and technical backstopping to farming communities, national and international research programmes, development actors, seed companies and policy decision-makers, on resilient seed systems tools, methods, information sources, data management, policy design and compliance with applicable regulations and agreements. …”
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Enhanced climate information services and big data solutions to enhance smallholder production for value chains in West Africa - Project Flyer por CGIAR Research Program on Climate Change, Agriculture and Food Security

“…This project aims to use Artificial Intelligence and associated technologies (Internet of Things IoT, Earth Observation, hyperlocal data streams) to enhance the impact of climate information by properly embedding it inside phygital value chain orchestration platforms that support equitable, multi-partner and multiscale business planning. …”
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Knowledge and Data Sharing - Annual Technical report 2023 por Ramírez, Margarita M., Castiblanco, Claudia, Pizo, Cristian, Almanzar, Manuel R, Tanaka, Kenji, Tobon, Hector

“…Tailored improvements included general enhancements, updates to the admin section, improvements to the homepage, contributions to performance indicators, and functionalities for deliverables. The Business Intelligence module and comprehensive online resources further emphasized our commitment to ensuring that all achievements in the project are publicly accessible and standardized among the country, regional and global teams.…”
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At the ground level : Accounting for farmers’ perspectives and inclusion issues in seed promotion por Cavicchioli, Martina, Kramer, Berber, Trachtman, Carly

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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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Enhancing Meghdoot: Integrating AI for Smarter Agricultural Advisories por Dhulipala, Ram, Singh, Kanika

“…Digital Innovation Initiative at ILRI, in collaboration with partners, is integrating Artificial Intelligence (AI) into Meghdoot to enhance its efficiency and accuracy. …”
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TreeEyed: A QGIS plugin for tree monitoring in silvopastoral systems using state of the art AI models por Ruiz-Hurtado, Andres Felipe, Bolaños, Juliana Perez, Arrechea-Castillo, Darwin Alexis, Cardoso, Juan Andres

“…We present TreeEyed, a QGIS plugin designed to facilitate the monitoring of trees using remote sensing RGB imagery and artificial intelligence models. The plugin offers several tools including tree inference process for tree segmentation and detection. …”
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Eco-efficiency and agricultural innovation systems in developing countries: evidence from macro-level analysis por Grovermann, C., Assfaw Wossen, Tesfamicheal, Müller, A, Nichterlein, K.

“…Innovations generally emerge from collective intelligence and action, but innovation systems are often poorly understood. …”
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Exploring CGIAR Level Agricultural Results Interoperable System Architecture (CLARISA) por Tobon, Hector, Col, Valentina de, Ramírez, Margarita M., Bonaiuti, Enrico, Abreu, David

“…CLARISA represents an essential step of business intelligence towards enabling more effective strategic and operational decision-making. …”
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Framework for advancing water resource sustainability and climate resilience through local-scale hydrological modeling in the Ganges Delta por Jampani, Mahesh, Sena, Dipaka Ranjan, Matheswaran, Karthikeyan

“…The International Water Management Institute (IWMI) is undertaking local-scale hydrological modeling and developing Artificial Intelligence (AI)-powered salinity forecasting in the Ganges Delta Region to evaluate water and salinity dynamics. …”
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Top view RGB image dataset of Urochloa hybrids for HTP and AI applications por Cardoso Arango, Juan Andres, Arrechea Castillo, Darwin Alexis, Estupiñan Arboleda, Ronald David, Escobar Graciano, Miller

“…This dataset comprises 2400 raw RGB images of Urochloa hybrids captured from top view perspective, providing a valuable resource for high-throughput phenotyping (HTP) and artificial intelligence (AI) applications. A subset of 255 images has been meticulously annotated with polygons to identify racemes, resulting in a total of 22340 annotations organized in the COCO format. …”
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Value proposition for improved groundnut seed in Tanzania: Why and how to increase it por Rutsaert, Pieter, Donovan, Jason A., Daudi, Happy

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Fostering global well-being: a new paradigm to revitalize agricultural and rural development por Bathrick, David D.

“…Knowledge of consumer needs, up-to-date market intelligence, and other informational and material resources that facilitate the market system need to be identified and put in place.…”
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Compte rendu de l'Atelier d'échanges sur le fonctionnement des Groupements de Travail Pluridisciplinaires (GTPs) locaux au Sénégal: Communauté de pratique por Dolinska, Ola

“…C’est dans ce contexte, que l’IRD en collaboration avec l’ANACIM, à travers le projet CGIAR ClimBeR a organisé un atelier "d’échange constructif sur les expériences, les pratiques, les problèmes rencontrées, les idées afin d’utiliser l’intelligence collective pour co-développer des solutions pour l’amélioration du fonctionnement de ces GTPs locaux”.…”
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Digital Innovations Supporting Women Agri-entrepreneurs in India: Mapping Good Practices por Dominic, D.M., Bhuvana, N., Mittal, N., Sulaiman, R.V., Puskur, Ranjitha

“…The process of creating a new enterprise is being greatly aided by technologies such as big data, Artificial Intelligence (AI), Internet of Things (IoT), and various digital platforms. …”
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Statistics from space: Next-generation agriculture production information for enhanced monitoring of food security in Mozambique por Centro de Estudo de Políticas e Programas Agroalimentares (CEPPAG)

“…The Statistics from Space project (SFS) seeks to support the Government of Mozambique to produce and disseminate accurate crop production statistical data leveraging satellite remote sensing data and artificial intelligence augmented analytics. The project, funded by the Government of the Republic of Korea (Ministry of Agriculture, Food and Rural Affairs; MAFRA), aims to provide the Mozambican Ministry of Agriculture and Rural Development with production estimates of major crops across three provinces namely Gaza, Manica and Zambézia in a sufficiently timely manner so that all market participants can use the information for decision-making. …”
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