Decision making in agriculture has been based on general (blanket) recommendations made by technicians, the farmer's own knowledge or local practices that are adopted as customary for generations. Recognizing the need to generate information to help make site-specific decisions based on traditional agronomic research, this study uses Machine Learning (ML) models and a Global Harmony Search (GHS) methodology to find an optimal solution to the combination of practices that a farmer could implement according to his soil and climate conditions specific to his land.

Smallholder farmers in northeastern Nigeria face the triple threat of food insecurity, climate volatility, and conflict. Northeastern Nigeria has some of the highest levels of food insecurity in Nigeria. Additionally, delayed, shorter, and more volatile rainy seasons have led to massive floods, depleted soil quality, and disrupted agricultural growing seasons which ultimately constrain agricultural productivity.

This Methodological Note seeks to support reflection on and provide examples of qualitative research methodologies to understand and assess women’s leadership, including leadership that supports collective action in the Commons.

Smallholder farmers in low- and middle-income countries have limited access to finance, due to the pau city of banks and other financial institutions in rural areas. As a result, banks and other formal financial institutions tend not to know much about farming as a business, and therefore they hesitate to extend credit to farmers. Such reluctance is often attributed to the elevated costs and risks linked with small, geographically dispersed farms, as well as the farmers' lack of collateral.

This field report highlights the progress, challenges, and achievements of the integration of climate-smart agricultural practices by the Kimatwa Women Savings and Credit Cooperative Organization (SACCO) in Makindu, Makueni County.

The In-situ Monitoring System in the Dry Corridor of Guatemala represents a testing ground for automated agricultural. Located in the region's challenging dry corridor, this innovative plot, supported by CGIAR, CUNORI University, and the CGIAR initiatives on Digital Innovation and AgriLac, is designed to enhance decision-making and efficiency for small-scale farmers. It achieves this through advanced in situ sensors and technologies that deliver precise data on climate and soil conditions.

This preliminary study aimed to glean lessons learned regarding CIS production, translation, communication, and use from the first phase of the AICCRA project (2020-2023) which can be used to inform practices moving forwards as well as shape paths for further inquiry.

Silvopastoral systems, integrating tree cultivation with livestock grazing, offer sustainable agricultural practices with environmental benefits. This study explores the vital role of Ziziphus species in Tunisian silvopastoral systems, emphasizing their ecological, economic, and cultural significance. The genus, comprising Ziziphus lotus, Ziziphus spina-christi, and Ziziphus mauritaniana, contributes to soil conservation, water retention, and biodiversity enhancement. Economic benefits include nutritional fruits, medicinal resources, and income generation.

This event introduced members of AICCRA cluster teams, and AICCRA collaborators in their networks with an interest in cost-benefit analysis, to a curriculum that has been developed based on the new methods for cost-benefit analysis in the CIS theme cluster.