ABSTRACT
Intensive farming is among the human activities that produce the highest emissions of greenhouse gases (GHG), a cause of global warming. In addition, activities related to the production of livestock feed divert important resources that could be used to reduce world hunger and improve food security in developing countries. In some Latin American countries, including Colombia, the development of the livestock sector has outpaced development of the agricultural sector, leading to a growing dependence on cereal imports, which strongly undermines food sovereignty. The purpose of this study is to investigate how developments in information and computer science produce spatial decision support system (SDSS) that support policy makers in decision–making processes, allowing them to consider all the variables involved in a specific territory, to achieve the Agenda 2030 Sustainable Development Goals (SDGs). This study analyzes the structure and functions of GLEAM-i and FAO’s interactive model for achieving more sustainable farming activities. A practical application of this software to the poultry sector in Colombia is proposed. Major technological innovations and appropriate government policies have the potential to drastically reduce GHG emissions and improve food security and food sovereignty, if targeted carefully at areas where the right conditions exist.
