Inteligencia artificial enfocada al uso y distribución de terrenos para procesos de producción agrícola”

The agricultural community, being one of the most economical and important sources in Ecuador, has presented several needs when optimizing resources in the cultivation process. One of the needs presented by the farming community is to find an effective solution to the lack of knowledge about the measurement of their land for the construction of greenhouses and the state of the soil, allowing them to know the exact number of plants to be planted, providing a greater degree of effectiveness and satisfaction to the agricultural community, which works under the greenhouse. This document explains the development of a field measurement module applying artificial intelligence techniques, which helped with the needs of community farmers. The mentioned module facilitated the personnel in charge in the procedure of the measurement of the land, and when carrying out the calculation of the number of plants that enters the beds of the greenhouse. For the development of this module, the mixed research methodology was used since a quantitative-qualitative analysis was carried out, and in turn, an agile development methodology such as Mo-bile D. Various techniques of artificial intelligence was taken into account to optimize time and resources in agricultural sectors. By analyzing and applying these techniques we have been able to verify the state of the land under the greenhouse, allowing us to make the correct measurement with the help of Google Maps through the use of UTM coordinates that allow us to extract the width and length of the land under the greenhouse.

• Hlavní autor: Caicedo Coello, Marjorie Cristina (author)
• Další autoři: Chicaiza Guerra, Edwin José (author)
• Médium: bachelorThesis
• Jazyk: spa
• Vydáno: 2021
• Témata: COMPLEMENTO; CONTROL; DATOS; MÓDULO MÓVIL; SISTEMAS
• On-line přístup: http://repositorio.utc.edu.ec/handle/27000/8715