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Showing items 72343 through 72351 of 73534.Enhancing African farming systems holistically, through interventions that introduce innovative practices, is crucial for ensuring ample food production and sustaining food security.
This Environment and Social Management Pan (ESMP) has been developed to clarify (i) the measures that will be taken during the implementation of project activities to eliminate or offset adverse E&S impacts, or to reduce them to acceptable levels; and (ii) actions needed to implement these me
County Climate Risk Profiles are a key tool to guide climate smart agriculture (CSA) investments and priorities at the county level in Kenya. These documents provide analyses of the underlying causes of vulnerability and on-going and potential climate change adaptation strategies.
Climate change is a growing threat to agricultural production in sub-Saharan Africa, leading to rising poverty and malnutrition. Implementing climate smart agricultural practices at scale will require substantial investments from private and public actors.
Maintaining staple grains throughout the year and managing liquidity are two major challenges that smallholder farmers face at harvest. We implemented a randomized controlled trial in Tanzania that was designed to address these post-harvest constraints.
In the Colombian high-altitude tropics (2,200–3,000 m.a.s.l.), Kikuyu grass (Cenchrus clandestinus) is the main feed source for the dairy system.
Own production contributes much of the food supply in smallholder production sys-tems in low- and middle-income countries like Ethiopia.
This Labor Management Procedures (LMP) has been developed by the International Livestock Research Institute (ILRI) to guide mitigation and response to project risks relating to working conditions and occupational health and safety (OHS) of workers and community members during the implementation o
This study assesses the impact of climate change (CC) adaptation on farm-level revenue among 500 soybean farmers randomly selected in three districts in Togo using endogenous switching regression method.
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