Miguel Ángel Moreno

TL;DR: New calibration algorithms, based on neural networks, are proposed, which consider the sensor temperature and the digital response of the microbolometer as input data and are evaluated for improving the quality of the photogrammetry process using structure from motion software.

TL;DR: In this paper, the authors evaluated a non-destructive method to measure canopy cover in an onion crop using an unmanned aerial vehicle (UAV) and three models were used to analyse the relationship between leaf area index and canopy cover.

TL;DR: In this paper, the authors present the technical aspects of this process and present some of the main models and tools for improving irrigation infrastructure design and management, as well as the benefits of irrigation modernization include increased water efficiency and productivity, improved operation and management of irrigation systems and working conditions of farmers, but increased energy demands and investment amount.

TL;DR: In this article, the authors developed a model for analysing energy efficiency at pumping stations, which permitted the determination of the sequence of pump activation that minimised the energy cost for real demand scenarios.

TL;DR: Artificial neural network models derived from multispectral images to predict the Ψstem spatial variability of a drip-irrigated Carménère vineyard in Talca, Maule Region, Chile are developed.