Processo de produção de composto orgânico derivado de resíduos industriais com aplicação no cultivo de alface

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Diagnose foliar da cultura da soja em função da aplicação superficial de lodos de esgoto e resíduos industriais sob diferentes doses em sistema plantio direto

The application of industrial and municipal waste in the soil may be recommended by your corrective and fertilizer value, giving the great potential for agricultural reuse, improves physical, chemical and biological soil properties and helps to reduce the consumption of fertilizers and correctives, without contamination by heavy metals. This study aimed to evaluate the absorption of nutrients and potentially toxic elements, and their effect on the development of soybean (Glycine max (L.) Merrill) grown under No-Tillage system (NT). The work was developed in the field, at the Experimental Farm Lageado - FCA / UNESP, Botucatu (SP) in an Oxisol under tropical climate of altitude. The experimental design was randomized blocks, factorial 4x4+1, with four replications. The treatments consisted of four residues: two sewage sludge, one centrifuged and treated with quicklime (LC) and a biodigester (LB) and two industrial wastes: steel slag (E) and lime mud (Lcal) , applied in dosages of 0, 2, 4 and 8 Mg ha-1. The surface application of LC, LB, Lcal and E residues in soil under NT favored the development of soybean, with no heavy metal contamination, given the current legislation.

Parâmetros industriais para produção de Pleurotus ostreatus

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Gerenciamento de Big Data em plantas industriais

Nowadays the companies generate great amount of data from different sources, however some of them produce more data than they can analyze. Big Data is a set of data that grows very fast, collected several times during a short period of time. This work focus on the importance of the correct management of Big Data in an industrial plant. Through a case study based on a company that belongs to the pulp and paper area, the problems resolutions are going to be presented with the usage of appropriate data management. In the final chapters, the results achieved by the company are discussed, showing how the correct choice of data to be monitored and analyzed brought benefits to the company, also best practices will be recommended for the Big Data management