DESIGN OF EXPERIMENTS, DESIGN THINKING AND DATA SCIENCE FOR LEARNING PRECISION AGRICULTURE DISEÑO DE EXPERIMENTOS, DESIGN THINKING Y CIENCIA DE DATOS PARA EL APRENDIZAJE DE LA AGRICULTURA DE PRECISIÓN
Academic Article in Scopus
The Experimental Agricultural Field of Tec de Monterrey (CAETEC) implements precision agriculture to obtain better cultivation techniques, to increase productivity, and to have higher quality crops optimizing resources. The information obtained is used by students for their learning in statistics and by farmers in the Bajío region to improve their crops. Currently satellites, sensors and drones are used to obtain sensitive information, this generates a lot of information. It is necessary to build databases and then, through the design of experiments and design thinking, to elaborate statistical experiments to obtain the appropriate parameters to maximize the production of agricultural products with the highest nutritional value and quality. This research essay presents the results in three learning blocks during the August to December 2021 semester at Tecnologico de Monterrey, namely: "IN2004 Generation of Value with Data Analytics," "IN2005 Evaluation of Organisational Competitiveness," and "IN2006 Analysis of the Viability of Projects with a Systemic Perspective." These blocks focused on the operation of the robotic barn of the university's CAETEC, where design thinking, regression analysis, design of experiments, and the concepts of precision agriculture were introduced to solve the challenges posed in each project.
