Accurate crop yield prediction is crucial for optimizing agricultural practices and ensuring food security. The NextGen advisory is a fertilizer recommendation system that can be customized for different farming systems, crop types, and locations. The system uses machine learning models to predict site-specific fertilizer rates using filed trial and covariates (soil, topography, and climate) data.

The growing complexity of the relationship between climate information and agricultural decision-making necessitates the development of relevant and timely climate services for farmers. These services can effectively support risk management strategies in agriculture by fostering a comprehensive understanding of the intricacies involved in farmer decision-making dynamics. This paper addresses this critical gap by analyzing the drivers influencing decision-making processes that shape adaptation strategies for staple grain and coffee farming systems in Central America.

The present study attempts to understand the farmers’ gender-differentiated perception of climate risk and its impact, access to climate information, and adaptation strategies in Senegal’s dry regions. Study uses data collected from 514 households through primary survey between May and June 2022 covering Kaffrine, Louga and Thies subregions and multiple communes, including 5% women-headed households and 12% women respondents.

The Indian agricultural system is undergoing rapid degradation because of climate-induced shocks and stressors. As a result, there have been endeavors among governments, civil society organizations and researchers to embrace transformative approaches toward the agri-food system. Within this context, agroecology has emerged as a comprehensive methodology that aims to reshape food systems by harnessing the interconnectedness between indigenous knowledge, local conservation practices, social capital and strategies for adapting to the climate crisis.

This study analyses the impact of high-quality nutritional grasses in feeding on beef cattle in farms from Córdoba Department, Colombia. The low productivity and high environmental impact associated with beef farming in the region make it necessary to implement sustainable intensification strategies that increase animal yield and mitigate climate change.

This Initiative addresses the Sustainable intensification (SI) of Mixed farming systems (MFS). By SI, we mean the production of more food on the same piece of land while reducing the negative environmental impact. MFS cover about 2.5 billion ha of land globally. In the developing world, MFS supply around 75% of milk, 60% of meat, and 41–86% of cereals consumed. These farming systems occur in nearly all agro-ecological zones, with an enormous variety of climatic and soil conditions and livelihood patterns. In SEast Asia the initiative is working in Bangladesh, Nepal and Laos.

Traditional farming systems across much of Sub-Saharan Africa have greater organic inputs near to the homestead than in fields further away. This is likely to produce a fertility gradient that impacts production capacity, and so provides an opportunity to explore impacts of organic amendments on soils. Across 198 farm plots in 69 households in Halaba, Southern Ethiopia, we investigated the influence of different organic input systems on soil properties.