Of the world’s 570 million farmers, 72% work on two hectares or less, and women’s labor comprises at least 50% (FAO, 2014). Small farms are responsible for 80% of world food production, making them key to addressing looming global food shortages (Lowder et al., 2016). Small farms in developing countries navigate a myriad of challenges, including access to information, quality inputs, capital, markets, and among others, land (FAO, 2014).

All stakeholders, especially households that depend on agriculture, must come up with every avenue available to improve farm productivity in order to raise yields due to the constraints posed by climate change on food production systems. Sufficient increments in yields will address the challenges of food insecurity and malnutrition among vulnerable households, especially smallholder ones. Yield increases can be achieved sustainably through the deployment of various Climate Smart Integrated Pest Management (CS-IPM) practices, including good agronomic practices.

As the population increases, demand for food increases too, which has led to large-scale land conversion to improve livestock production in Colombia. Fulfilling these criteria of increasing demand in a sustainable way is a challenge and remote sensing data provides an accurate method to support this task. In this study, Planet Scope multispectral satellite datasets and coincident field measurements acquired over test fields in the study area (Patía) of September 2018 was used.

This document is a supplement to the UNFCCC NAP technical guidelines. It aims to raise awareness amongst national policymakers on the potential importance of digital agriculture (DA) in National Adaptation Plans (NAPs), provide tangible information on how it can be incorporated into NAP formulation and propose ways forward to implementing DA at scale.
The research for this supplement included reviewing the existing literature on digital agriculture and its role in supporting climate adaptation, alongside consultations with experts from the research community and UNFCCC.

Most studies of agricultural transformation document the impact of agricultural income growth on macroeconomic indicators of development. Much less is known about the micro-scale changes within the farming sector that signal a transformation precipitated by agricultural income growth. This study provides a comparative analysis of the patterns of micro-level changes that occur among small-holder farmers in Uganda and Malawi in Sub-Saharan Africa (SSA), and Thailand and Vietnam in Southeast Asia (SEA).

The pioneering work of establishing a Climate-Smart Village (CSV) in Guinayangan, Quezon Province in 2014 became an avenue for promoting interventions to address climate change in a local government in the Philippines. The CSV served as a laboratory where climate-smart technologies and practices were tested, promoted, and scaled out. Through a CSV, Climate-Smart Agriculture was introduced as an integrated approach that aims to achieve short- and long-term agriculture development priorities in the face of climate change.

The Banana Bunchy Top Disease (BBTD), caused by the Banana Bunchy Top Virus (BBTV) is the most important and devastating in many tropical countries. BBTD epidemiology has been little studied, mixed landscape smallholder systems. The relative risks associated with this disease vary between geographical areas and landscapes. This work analyzed the management and vegetation conditions in smallholder gardens to assess the factors linked to landscape-level BBTV transmission and management.

Grassland pastures are crucial for the global food supply through their milk and meat production; hence, forage species monitoring is essential for cattle feed. Therefore, knowledge of pasture above-ground canopy features help understand the crop status. This paper finds how to construct machine learning models to predict above-ground canopy features in Brachiaria pasture from ground truth data (GTD) and remote sensing at larger (satellite data on the cloud) and smaller (unmanned aerial vehicles (UAV)) scales.

The CGIAR Food Systems Accelerator (CFSA) was launched as part of the activities under the CGIAR Initiative on Diversification in East and South Africa (Ukama Ustawi), with the main objectives, of strengthening food systems by scaling climate-smart food system innovations (through strategic support of commercially viable and inclusive climate-smart agribusinesses), develop a pipeline of inclusive climate-smart agribusinesses in East and Southern Africa, support inclusive climate-smart agribusinesses (through a 6-month program that provides investment readiness and business development, clim

Crop fungal diseases constitute a major cause of yield loss. The development of crop disease monitoring and forecasting tools is an important effort to aid farmers in adapting to climate variability and change. Recognizing weather as a main driver of fungal disease outbreaks, this work assesses the climate suitability for wheat blast (Magnaporthe oryzae pathotype Triticum, MoT) development in Asian wheat-producing countries.

The Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA) project is administered by the Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT). AICCRA is a project that helps deliver a climate-smart African future driven by science and innovation in agriculture. AICCRA builds on 50 years of CGIAR innovation, AICCRA works to scale climate-smart agriculture (CSA) and climate information services (CIS) that reach millions of smallholder farmers in Africa.

Gender dynamics and norms are crucial for rural livelihoods and achieving food security. While norms related to ownership, management, product distribution, and sales methods are prevalent in dairy production, more research needs to be conducted in this area. This study hypothesized that innovative technologies introduced without considering gender dynamics and norms may limit the extent of transformative change.