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Can we trust large language models to summarize food policy research papers and generate research briefs?

LandLibrary Resource
Diciembre, 2022
United States of America

Generative large language models (LLMs), while widely accessible and capable of simulating policy recommendations, pose challenges in the assessment of their accuracy. Users, including policy analysts and decision-makers, bear the responsibility of evaluating the outcomes from these models. A significant limitation of LLMs is their potential to overlook critical, context-specific factors.

Resilience in farm technical efficiency and enabling factors: Insights from panel farm enterprise surveys in Kazakhstan and Uzbekistan

LandLibrary Resource
Diciembre, 2022

Economic resilience within the agrifood system is becoming increasingly crucial for assuring sustainable development. This is particularly so in regions with volatile and fragile environments, including Central Asia.

Ecosystem assessment of food, land, and water actors in the humanitarian, development, and peace nexus

LandLibrary Resource
Diciembre, 2022
Global

1.5 billion people live in fragility and conflict-affected settings (FCAS) and they face an increased risk of food insecurity and poverty trap. A systems approach in collaboration with innovators in FCAS is needed to produce practical and inclusive solutions that can improve the resilience of food, land, and water systems (FLWS).

Integrity management in community-based water tenure in Kajiado County, Kenya

LandLibrary Resource
Diciembre, 2022
Kenya

Smallholder production systems in low-income countries suffer the most from the impacts of climate change but receive the least benefit from climate adaptation programs. This is due to governance structures that make it difficult for governments and organizations to effectively reach marginalized communities.

Spatial estimation of flood residual water cultivation (FRWC) potential for food security in Sédhiou and Tambacounda regions of Sénégal

LandLibrary Resource
Diciembre, 2022
Global

Nearly 90% of farming households in Senegal rely on rainfed agriculture; in recent years, climate change-induced disruptions to rainfall patterns and the ensuing depletion of water resources have had adverse effects on agricultural production, livelihoods, and food security.

Quantifying wheat blast disease induced yield and production losses of wheat: A quasi-natural experiment

LandLibrary Resource
Diciembre, 2022
Global

Applying the difference-in-difference (DID) estimation procedure, this study quantifies the wheat blast (Magnaporthe oryzae pathotype Triticum) induced losses in wheat yield, quantity of wheat sold, consumed, or stored, as well as wheat grain value in Bangladesh in 2016 following a disease outbreak that affected over 15,000 ha.

Innovative approaches to integrating gender into conventional maize breeding : lessons from the Seed Production Technology for Africa project

LandLibrary Resource
Diciembre, 2022
Global

The integration of gender concerns in crop breeding programs aims to improve the suitability and appeal of new varieties to both women and men, in response to concerns about unequal adoption of improved seed. However, few conventional breeding programs have sought to center social inclusion concerns.

The ABC of crop insurance as a risk management tool: A manual for trainers

LandLibrary Resource
Diciembre, 2022
Global

This manual is a product of the Alliance of Bioversity International and International Center for Tropical Agriculture (CIAT), and the University of Kassel, as part of the outputs of the Innovation for Africa Climate Risk Insurance (InACRI) project funded by the German Federal Ministry of Education and Research (BMBF).

Integration of Artificial Intelligence (AI) to generate personalized weather and crop advisories: A case study of Meghdoot app in India

LandLibrary Resource
Diciembre, 2022
India

Accurate and timely agricultural weather information is crucial, given the evolving environmental dynamics and increased climatic variability. The report emphasizes the significance of tailored weather and climate-based advisories for farmers and highlights the dispersed nature of essential information across various organizations and formats.