La inteligencia artificial en la proyección de su producción de cultivo de Caña de Azúcar en el Ecuador

Sugar cane (Saccharum officinarum) is a tropical grass plant, which is characterized by the accumulation of sucrose in its stem during the maturation period, having great global importance in the production of sugar and its derivatives, playing a fundamental role in the economy. Ecuadorian, generating employment, promoting exports, contributing to the generation of renewable energy and promoting agricultural development. Establish the importance of artificial intelligence in the projection of production in sugarcane in Ecuador. This research was carried out as part of the practical component for the degree work according to research compiled from articles, magazines, theses and editorials. The conclusions determine that with the help of artificial intelligence and precision agriculture tools such as sensors, drones and monitoring systems, precise information can be collected on soil quality, humidity, plant health and other important variables; The use of drones to photograph crops and identify regions with low production is an example of sugar cane. Artificial intelligence is used to analyze the photos after uploading them to Microsoft's Azure cloud. As a result, you can list the items to be harvested; Automatic performance, stimulation, and tracking are the three strategies available to people seeking to exert the least amount of effort while achieving the highest level of accuracy; output environmental data from the trainer algorithm based on independent variables such as nitrogen, phosphorus, pH and rainfall in the mapping application and by developing the support vector machine algorithms and implementing them in the web application.

• 1. Verfasser: Romero Ayala, Luis Enrique (author)
• Format: bachelorThesis
• Veröffentlicht: 2023
• Schlagworte: Tecnologías; Rendimiento; Inteligencia artificial; Cultivos
• Online Zugang: http://dspace.utb.edu.ec/handle/49000/14927