IoT Applied to Improve Production Controls in the Ecuadorian Floriculture Sector

For the development of this study, the internet of things IoT concept was used, in the context of which a network of sensors was deployed within a rose crop that is planted in an area of 30,000 m2, which are covered under greenhouses. The crop is located at 2,900 m above sea level and, for a year and a half, humidity data, dew point data, temperature data and vapor pressure deficit VPD data were collected with the use of the sensor network. in such a way that a database of more than 49 million data was obtained that was used to contrast and analyze the data collected in the same period related to diseases and pests that can occur in rose production. The results show that there are levels of correlation that allow determining mechanisms for measuring environmental conditions in production to improve efficiency and effectiveness in the decision-making process for better crop management.