Search Results - "Artificial Intelligence"

Digital Innovations Supporting Women Agri-entrepreneurs in India: Mapping Good Practices by 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 by 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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PEPA.AI - Generating Insights for Informing Agrifood Systems Policy Decisions by 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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Rethinking the measurement of resilience for food and nutrition security by 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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Technical Report on Business Investment Decision (BID) Tool by 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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A review of India's water policy and implementation toward a sustainable future by 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 by Mulwa, D.F., Kazuzuru, B., Misinzo, G., Bett, Bernard K.

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The Post-Malabo results framework by 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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Innovative digital technologies to monitor and control pest and disease threats in Root, Tuber, and Banana (RT&B) cropping systems: progress and prospects by Kreuze, Jan F., Adewopo, Julius, Selvaraj, Michael, Mwanzia, Leroy, Kumar, P. Lava, Cuéllar, Wilmer Jose, Legg, James P., Hughes, D.P., Blomme, Guy

“…These tools include systems based on identification keys, human and artificial intelligence-based identification based on smart applications, web interfaces, short messages services (SMS), or combinations thereof. …”
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Balancing national economic policy outcomes for sustainable development by Basheer, Mohammed, Nechifor, Victor, Calzadilla, Alvaro, Ringler, Claudia, Hulme, David, Harou, Julien J.

“…The framework combines economy-wide sustainability simulation and artificial intelligence-driven multiobjective, multi-SDG policy search and machine learning. …”
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Machine learning technique unraveled subspecies-specific ionomic variation with the preferential mineral enrichment in rice by Tiozon, Rhowell N., Buenafe, Reuben James, Jain, Vinay, Sen, Partha, Molina, Lilia R., Anacleto, Roslen, Sreenivasulu, Nese

“…The identified contrasting lines from the modeling classifications were milled and profiled for minerals and toxic elements using inductively coupled plasma mass spectrometry and revealed donors with an elevated mineral content even higher than the Zn‐biofortified rice lines.Overall, the result of this study provided new insights into ionomic variation among subspecies with a preferential enrichment of minerals in temperate japonica and admixed populations coincided with increased grain protein content, while in indica median mineral content is low while selected for increased amylose content.Artificial intelligence models were developed to predict grains enriched with multiple minerals.…”
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Policy Innovations: Applied political economy and governance tools for decision making and inclusion by Kyle, Jordan, Mockshell, Jonathan, Kaaria, Susan, Ngeno, Evans, Resnick, Danielle

“…The first is the Political Economy and Policy Analysis (PEPA) simulation tool, which utilizes artificial intelligence (AI) functions to identify the appropriate analytical framework for addressing priority policy questions and integrating different stakeholder viewpoints. …”
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Statistics from Space: Next-Generation Agriculture Production Information for Enhanced Monitoring of Food Security in Mozambique - Enumerators training report by Centre of Excellence in Agri-Food Systems and Nutrition

“…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 Nampula in a sufficiently timely manner so that all market participants can use the information for decision-making. …”
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A review on knowledge and information extraction from PDF documents and storage approaches by Atagong, S.D., Tonnang, H.E.Z., Senagi, K., Wamalwa, M., Agboka, K.M., Odindi, J.

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Training of Trainers (ToT) on Clean Energy Options for Sustaining Agricultural Productivity Course Module by Ekepu, David, Nakayiwa, Florence Mayega, Majaliwa, Jackson Gilbert Mwanjalolo, Karume, Katcho

“…Additional areas of expertise suggested by participants such as green hydrogen, Artificial intelligence for climate modelling, biodiversity estimations and biofertilizers/biopesticides management can be explored for future RUFORUM trainings.…”
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CIMAT: a knowledge-based system for developing criteria & indicators for sustainable forest management by Haggith, M., Prabhu, Ravi, Purnomo, H., Rizal, A., Taylor, J., Yasmi, Yurdi, Sukadri, D.

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Co-limitation toward lower latitudes shapes global forest diversity gradients by liang, Jingjing, Gamarra, Javier G.P., Picard, Nicolas, Zhou, Mo, Pijanowski, Bryan, Jacobs, Douglass F., Reich, Peter B. , Crowther, Thomas W., Nabuurs , Gert-Jan, de-Miguel, Sergio, Peri, Pablo Luis, Hui, Cang

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Mycorrhizal symbioses and tree diversity in global forest communities by Jiang, Feng, Pu, Xucai, Schmid, Bernhard, Reich, Peter B., Liang, Jingjing, Abbasi, Akane O., Aguirre-Gutiérrez, Jesús, Almeyda Zambrano, Angelica M., Altman, Jan, Álvarez-González, Juan Gabriel, Peri, Pablo Luis, Wang, Zhiheng

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Segundo Boletín Sectorial: inteligencia artificial by Ovalle Másmela, Juan Camilo, Gómez Contreras, Luz Mery, Acevedo Silva, William Fabian, Vargas García, César Augusto, Uribe Galvis, Claudia Patricia

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Study on Enhancing Capacities of Extension and Advisory Services (EAS) in Using Data and Information Available Through Digital Platforms and Applications in Odisha, India by Dominic, Ditty Maria, Sulaiman V, Rasheed, Mittal, Nimisha, Sharma, Sheetal, Shalini, Gakhar

“…Digital Extension and Advisory Services (EAS) have evolved to deliver more need-based advisories at scale ranging from broadcast media to Artificial Intelligence (AI)-backed applications. Over the years, rapid growth in the number of digital EAS providers has seen the use of varied channels to deliver similar advisories that are generic. …”
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