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Guidance note for peace-informed programming at the Green Climate Fund: Transport

december, 2022
Global

Transport-related projects in Fragile and Conflict-affected Settings (FCS) encounter operational risks and challenges and have the potential to ignore and/or exacerbate peace and conflict dynamics by affecting the interplay of social, political, economic, cultural, and environmental factors that drive fragility, conflict, and violence. Being insufficiently aware of the conflict dynamics may inadvertently contribute to conflict and undermine the achievement of the project’s goals, as well as undermining its potential to contribute to peace and stability.

Supporting AICCRA in the Organization and Facilitation of a Hackathon in West Africa

december, 2022
Global

This report provides a deep dive on the Sen AgriHack 2023, the innovation challenge organized by AICCRA to address post-harvest losses in Senegal. Through Sen AgriHack 2023, AICCRA created a dynamic platform for interdisciplinary collaboration among participants and stakeholders to generate relevant solutions to challenges faced by farmers and value chain actors. The event also included a capacity building component on climate change and its impacts, gender responsive-csa, post harvest management provided by CGIAR experts.

Leveraging the role of computer vision in agriculture applications

december, 2022
Global

The International Rice Research Institute (IRRI) conducted a one-day workshop on “Leveraging the Role of Computer Vision in Agriculture Applications” as part of the CGIAR Initiative on Digital Innovation Initiative (DI). The workshop was organized at Delhi Technological University (DTU) on 20th November 2023. It was a joint effort by CGIAR's IRRI with DTU, New Delhi, and was meant for research scholars, and engineering students working in the field of Digital Agriculture. Sessions on the latest technologies used in Digital Agriculture were conducted during the workshops.

Effectiveness of Innovation Platforms in Enhancing the Viability of the Wheat Seed Sector in Terbol Station, Lebanon

december, 2022
Lebanon

The objective of this research was to assess the effectiveness of the innovation platform (IP) (Terbol Station) on the wheat seed sector in Lebanon. Data were collected from 16 seed producers after identifying and mapping the key stakeholders in the seed sector. Descriptive statistics was used to categorize and evaluate the efficacy of the innovation platform by identifying six groups: seed availability and access, knowledge and training, seed production and market impact, incentives, joint planning, and the situation of the seed sector in Lebanon.

Nutritional potential of adzuki bean germplasm and mining nutri-dense accessions through multivariate analysis

december, 2022
Global

The adzuki bean (Vigna angularis), known for its rich nutritional composition, holds significant promise in addressing food and nutritional security, particularly for low socioeconomic classes and the predominantly vegetarian and vegan populations worldwide. In this study, we assessed a total of 100 diverse adzuki bean accessions, analyzing essential nutritional compounds using AOAC's official analysis procedures and other widely accepted standard techniques. Our analysis of variance revealed significant genotype variations for all the traits studied.

El Niño’s effects on southern African agriculture in 2023/24 and anticipatory action strategies to reduce the impacts in Zimbabwe

december, 2022
Zimbabwe

The frequency of El Niño occurrences in southern Africa surpasses the norm, resulting in erratic weather patterns that significantly impact food security, particularly in Zimbabwe. The effects of these weather patterns posit that El Niño occurrences have contributed to the diminished maize yields. The objective is to give guidelines to policymakers, researchers, and agricultural stakeholders for taking proactive actions to address the immediate and lasting impacts of El Niño and enhance the resilience of the agricultural industry.

Artificial intelligence and agricultural management: Opportunities and risks

december, 2022
Sweden

The integration of AI in agricultural management presents a world of opportunities and challenges. We have explored various aspects, from addressing inadequate information and limited capabilities to bridging the digital divide and concerns about job displacement. As we navigate this transformative journey, it is essential to prioritize the user, embrace human-centered design, and ensure that AI-powered solutions are not only feasible but also sustainable for farmers in diverse regions.

Exploring and Screening Potential Rhizobial Isolates Nodulating Forage Legumes White Lupin (Lupinus Albus) and Tree Lucerne (Chamaecytisus Palmensis) Growing In Ethiopia

december, 2022
Ethiopia

In Ethiopia, the production of livestock has been mainly constrained by low quality feed supply and seasonal fluctuations. The usage of good quality and drought-tolerant forage legumes like white lupin and tree lucerne are recommended to overcome feed constraints. Those legumes fix atmospheric nitrogen when being in symbiosis with rhizobia and thereby reduce the need for synthetic fertilizers. However, they show variations in terms of N2-fixation, calling for screening the best native symbionts.

Applying climate-smart agriculture technologies to smallholder farms in Kenya: farmers' manual

december, 2022
Kenya

This guide is here to help smallholder farmers deal with the challenges of climate change and make their farms more resilient. By going through this manual, we want to not only assist farmers in adapting to climate change but also enhance their food security and livelihoods. The goal is to build farming households that can withstand the impacts of a changing climate

Assessment of the Tilapia industry in Nigeria for economic trait prioritization

december, 2022
Nigeria

This report seeks to understand the value of genetic improvement for different traits for Tilapia in Nigeria (in economic and non-market preference terms), with the ultimate goal of developing a breeding objective based on underlying economic models (and/ or non-market preferences). This would provide valuable information for the advancement of selection candidates with performance tailored to meet the needs of different groups of Tilapia farmers in Nigeria, including men and women farmers, and broader supply chain participants.