Mini-greenhouse with a control and monitoring system based on fuzzy logic for the growth and development of mochero chili plants

Abstract

This study addresses the design and implementation of an automated mini-greenhouse with fuzzy logic, based control to improve the growth and development of Mochero chili, an endemic plant in danger of extinction. The main objective is to evaluate the impact of this system on environmental conditions (temperature, humidity and light), comparing it with traditional cultivation methods. The project follows a quantitative quasi-experimental approach, using Likert-type surveys and semi-structured interviews with 18 Moche farmers. The instruments collected data on participants' perceptions of environmental stability, fruit quality and resource use efficiency with automation. Data analysis revealed that 72% of respondents “strongly agree” that the automated system improves growing conditions, while 28% only “agree” or “neutral” on the issue. Respondents highlighted that the system optimizes water use, reduces costs and improves fruit quality. Automation based on fuzzy logic is effective in stabilizing the mini-greenhouse environment, promoting optimal and sustainable growth of Mochero chili, with a positive impact on fruit quality and resource efficiency