The objective of this paper is to determine the impact of the variables of good corporate governance on profitability by equity of the banks of Peru during the period 2009-2018. The regression analysis of panel data was applied on a sample of 13 banks in Peru listed on the Lima Stock Exchange. Through an econometrics model it was obtained as a result that there was a significant direct relationship between the general meeting of shareholders and return on equity, which indicates that, the greater the integration of the General Meeting of shareholders in banking companies, the greater the profitability of equity for shareholders; which also shows that, the greater the transparency of information, the greater the profitability of equity for shareholders. This evidence provides beneficial information for supervisory authorities, stakeholders and academics.

The purpose of this research was to determine how cultural aspects or beliefs of agricultural producers such as collectivism, trust, formality in land titling and productive planning influence the associative work of agricultural productive chains. Considering that for many years productive chains have been promoted as a development alternative for small agricultural producers in the Mantaro Valley, they have received training services, technical assistance, market articulation, etc., but very few remain today. The applied and descriptive research was carried out from July 2016 to May 2017 with the participation of 383 agricultural producers from four provinces of the Mantaro Valley, Junín, Peru. The results obtained show that the factors of trust and productive planning directly influence the associative work, while the aspects of collectivism and formality do not influence.

Potato is economically important in Peru, which is the first potato producer in Latin America, however, the quality of native potatoes need to be improved to increment their consumption. An automatic classification process to detect potato defects is important within the entire production chain to guarantee the high quality of the product. In the present research, a Convolutional Neural Network is used to detect defects in the Huayro potato surface. This is an Andean potato originally from Peru and is special because it has very marked eyes that can complicate the differentiation from pests that leaves holes in the potato. An adaptive learning was proposed in the work, where the principal idea is to evaluate continuously the learning of the neural network to adapt the training process (in this case the training data) to increment the learning performance. The detection results were aroun...