Prediction of the yield of grains through artificial intelligence

Grass turns out to be an appropriate food for cattle, mainly in tropical climate countries such as Latin American countries. This is due to the high number of species that can be used, the possibility of growing them year-round, the ability of the ruminant to use fibrous supplies and be an economic source (Sánchez et al., Data mining and big data. DMBD 2018. Lecture notes in computer science, vol 10943. Springer, Cham, 2018, [1]). In this work, an application of neural networks was carried out in the forecasting of more accurate values of production and quality of grasslands

The Goal Programming as a Tool for Measuring the Sustainability of Agricultural Production Chains of Rice

Agricultural activity is characterized by an intensive use of capital and a considerable dependence on external financing. Access to credit is often limited by the scarcity of resources and lack of guarantees, seriously affecting the productivity and economic performance of agricultural exploitations. The objective of this paper is to assess the sustainability of agricultural production chain of rice in Latin America using multi-criteria analysis tools to facilitate decision-making through a benchmarking process to contribute to their economic sustainability. The implementation of the model in an exploitation typy depending on financing sources (conservative, intermediate, and innovative) has revealed the conflict between the goals, being the intermediate exploitation, which gets the best results. The conclusions show that the flexibilization of financing options positively affects the economic performance

Thermostat or thermometer? A Finnish perspective on the overloaded role of sustainability indicators in societal transition

Various expectations are placed on national-level sustainability indicators. Ideally, they should serve as efficient tools for transformations, leading societies to sustainable paths by creating a comprehensive, reliable, timely, and easy-to-understand picture of the key ecological, socio-cultural, and economic trends. Most, if not all, indicator initiatives so far have been unable to meet such grandiose expectations. This has evoked criticism of and scepticism towards the indicator approach, but has also motivated improvement of indicator sets and knowledge brokerage processes. This article discusses the role of sustainability indicators in societal transition by examining the experiences gained from the preparation and launch of a sustainable development indicator set specifically aimed at supporting national-level policymaking in Finland. It is concluded that better recognition of the tensions between attempts to improve the quality of indicators and attempts to enhance their use in policy is key to meeting the expectations placed upon sustainability indicators

Sustainable development goal 2: improved targets and indicators for agriculture and food security

The pursuit of global food security and agricultural sustainability, the dual aim of the second Sustainable Development Goal (SDG-2), requires urgent and concerted action from developing and developed countries. This, in turn, depends on clear and universally applicable targets and indicators which are partially lacking. The novel and complex nature of the SDGs poses further challenges to their implementation on the ground, especially in the face of interlinkages across SDG objectives and scales. Here we review the existing SDG-2 indicators, propose improvements to facilitate their operationalization and illustrate their practical implementation in Nigeria, Brazil and the Netherlands. This exercise provides insights into the concrete actions needed to achieve SDG-2 across contrasting development contexts and highlights the challenges of addressing the links between targets and indicators within and beyond SDG-2. Ultimately, it underscores the need for integrated policies and reveals opportunities to leverage the fulfillment of SDG-2 worldwide

Sustainability and Sustainable Development Goals (SDGs): From Moral Imperatives to Indicators and Indexes. A Methodology for Validating and Assessing SDGs

Sustainability is a multidimensional concept that is not directly measurable, so it requires a set of indicators in order to be assessed. The United Nations Sustainable Development Goals (SDGs) program offers a detailed dashboard of sustainability indicators. However, the path from the value assumptions and policy (that underpin this program) to its statistical operationalization is not clear. In order to produce usable knowledge for policy, sustainability assessment needs to be redefined from a technical to a moral process that requires prior responses to normative questions. This chapter suggests a model for sustainable development based on a set of moral imperatives which further specify the popular three-pillar model of sustainability based on social, economic, and environmental dimensions. The aim of this study was thus threefold. Firstly, it aimed to clarify the conceptual framework that is the foundation of country-level sustainability. Secondly, it proposes a methodology for assessing the different moral dimensions of sustainability. Finally, it aimed to validate this framework and also to assess the state of art of each of the European Union (EU) Member States with regard to the SDGs. Operationally, using the latest available national cross-country data with multivariate statistical analysis, the study builds several composite indexes to assess the performance of European Member States on single imperatives, in order to identify priorities and gaps that must be addressed to achieve sustainability