The New Rural Development Program or Nông Thôn Mới (NTM) is a national target program of Vietnam that has enabled 57% of rural communes to achieve the NTM status, which aims to raise the socio-economic standard of living of small communities while facilitating agricultural development. Agricultural development is threatened by the impacts of climate change, which carries high risk for an agriculture-dependent country like Vietnam.
This publication, Water Quality in Agriculture: Risks and Risk Mitigation, emphasizes technical solutions and good agricultural practices, including risk mitigation measures suitable for the contexts of differently resourced institutions working in rural as well as urban and peri-urban settings in low- and middle-income countries. With a focus on sustainability of the overall land use system, the guidelines also cover possible downstream impacts of farm-level decisions.
The Gender and Social Inclusion (GSI) unit of the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) is dedicated to the advancement of gender-responsive climate policies. This document is a guide to best practices for developing indicators to track progress toward CCAFS gender-related policy sub-intermediate development outcomes (sub-IDOs) and gender activities at project and national levels.
The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS), through its Flagship on Low-Emissions Development—otherwise known as Flagship 3 (FP3)— seeks to address the increasing challenge that global warming is placing on agricultural practices, policies and measures and the overall challenge of declining food security. CCAFS was established in 2010 as a cross-cutting program of the 15 CGIAR Research Centers and strategic partnerships.
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.
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 learning visit aimed to meet and learn from the government officials in Bangladesh and India who have been advocating the better utilization of regional cooperation in seed sector to strengthen food and nutrition security in the South and Southeast Asian Regions.
Maize remains one of the most important cereal crops grown in small-holder farming systems in sub-Saharan Africa (SSA)(Cairns et al., 2013). Its cultivation is generally characterized by limited input use and low yields. The low yields are often associated with low soil fertility, pest, and diseases, weeds, low and inappropriate use of inputs such as fertilizers (Sanchez, 2002).
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