Numerical Simulation of Non-Linear Models of Reaction—Diffusion for a DGT Sensor

In this work, we present a novel strategy for the numerical solution of a coupled system of partial differential equations that describe reaction–diffusion processes of a mixture of metals and ligands that can be absorbed by a sensor or a microorganism, in an aqueous medium. The novelty introduced in this work consisted of an adequate database management in conjunction with a direct iterative schema, which allowed the construction of simple, fast and efficient algorithms. Except in really adverse conditions, the calculation is converging and satisfactory solutions were reached. Computing times showed to be better than those obtained with some commercial programs. Although we concentrate on the solution for a particular system (Diffusive Gradients in Thin Films [DGT] sensors), the proposed algorithm does not require major modifications to consider new theoretical or experimental configurations. Since the quality of numerical simulations of reaction–diffusion problems often faces some drawbacks as the values of reaction rate constants increase, some additional effort has been invested in obtaining proper solutions in those cases.This research was funded by University of Lleida and University of Tolima

D-Aware Project: digital technologies to support poultry farmers in the assessments of health and welfare

Oral session 3[EN] Currently, animal welfare is a well-established dimension of the sustainable animal production. Farmers already perceive animal welfare as a management aspect, acknowledging the interconnections between welfare, health, and performance. In this scenario, the Welfare Quality (WQ) and AWIN® projects developed protocols to assess and control risks associated to animal welfare for different poultry species

Quantile regression forests-based modeling and environmental indicators for decision support in broiler farming

An efficient and sustainable animal production requires fine-tuning and control of all the parameters involved. But this is not a simple task. Animal farming is a complex biological system in which environmental parameters and management practices interact in a dynamic way. In addition, the typical non-linear response of biological processes implies that relationships across parameters that are critical to assure animal welfare and performance are difficult to determine. In this paper a novel decision support system based on environmental indicators and on weights, leg problems and mortality rates is proposed to address this issue. The data-driven modeling process is performed by a quantile regression forests approach that allows estimating growth, welfare and mortality parameters on the basis of environmental deviations from optimal farm conditions. Resulting models also provide confidence intervals able to deal with uncertainty. They are deployed in farm, offering an accessible tool for farmers, veterinarians and technical personnel. Experimental results involving 20 flocks of broiler meat chickens from different farms show the validity of the system, obtaining robust prediction intervals and high accuracy, namely over 81% for every model. The in-field use of the proposed approach will facilitate an efficient and animal welfare-friendly production management.This project was funded by the Spanish Ministry of Economy and Competitivity, General Directorate for Science and Technology, National Research Program ’Retos de la Sociedad’ Project #AGL2013-49173-C2-1-R P.I. Inma Estevez and #AGL2013-49173-C2-2-R. The authors wish to thank to AN and the farmers for facilitating access to their farms for data collection

Transport of cattle in Spain. Technical, administrative and welfare aspects according to the destination.

To obtain a thorough description of how are cattle transported in Spain with respect to the journey destination a survey was performed in 2004 and 2005. Information was obtained by means of a 119-parameters questionnaire, and 44 transport operators representative of the sector (27 slaughterhouses, 10 traders, and 7 cattle markets) were interviewed. Over 80% of journeys transported growing-finishing/finished animals, and about 3% of journeys transported both growing-finishing/finished and reproductive animals. With respect to farm transports, slaughter transports loaded in fewer farms (1.2 vs. 1.4 farms; pPara conocer en detalle como se transporta el ganado vacuno en España según el destino del viaje, entre los años 2004 y 2005 se entrevistaron 44 operadores representativos del sector (27 mataderos, 10 comerciantes y 7 mercados) mediante cuestionarios que recogían información relativa a 119 parámetros. Más del 80% de los viajes fueron de animales cebados/para cebo, y algo más de un 3% de los viajes transportaban animales cebados/para cebo y reproductores. Los transportes a matadero cargaron en un menor número de explotaciones (1,2 vs. 1,4 granjas;