USE OF DESIGN OF EXPERIMENTS, DESIGN THINKING, AND DATA SCIENCE IN PRECISION AGRICULTURE Academic Article in Scopus uri icon

abstract

  • © Proceedings of the 24th International Conference on Engineering and Product Design Education: Disrupt, Innovate, Regenerate and Transform, E and PDE 2022. All rights reserved.Precision agriculture was born with the massive introduction of GPS at the beginning of this century and consists of the use of technology to obtain data, its statistical treatment, and decision-making. At the Tecnologico de Monterrey experimental agriculture centre, precision agriculture has been implemented to obtain better sowing techniques and to optimise resources; this information has served the farmers of the Bajío region to improve their harvests. The use of satellites to obtain sensitive information, in addition with technological innovation such as the use of sensors and drones, provides a large amount of information that requires the implementation of design techniques. First, it is necessary to build databases and later, through the design of experiments and design thinking, to elaborate the statistical experiments in which the appropriate parameters will be obtained to maximise the production of agricultural products with the highest nutritional value and quality. Nowadays, supported with data science, design of experiments, and precision agriculture the present research is the base for future works applying these concepts in order to contribute to the development of Mexican agriculture. This has led during the last year that the department of industrial engineering of the School of Engineering and Sciences of Tecnológico de Monterrey the need of the design of databases to take advantage of the information obtained in the experimental field and using dynamic factor factorial design techniques and machine learning, they were capable to obtain information for decision-making.

publication date

  • January 1, 2022