This work is described as a proposal to apply modern control techniques and automation tools for optimal plant growth, also it was based on key agricultural strategies that were developed by ancient civilizations such as the Inca Empire. Many of them ancient techniques including the Inca engineering of andenes were forgotten or set aside through time. In this research, however, some of these key techniques are revisited to analyze and evaluate optimal plant growth using sensors and actuators that were not available in ancient civilizations. In addition, predictive and adaptive mathematical models are used for plant growth analysis of thermodynamic parameters such as temperature, humidity and potential of Hydrogen (pH). Furthermore, there were compared performances of sensors (electromechanical sensors) with designed sensors that were based in nanostructures, because of better study of the plant growth techniques.
The vicuña is considered a national heritage of Peru and has the finest animal fiber in the world (12 μm of diameter). According to FAO (Food and Agriculture Organization), Peru is the first producer of vicuña fiber in the world (68.1 %) followed by Bolivia, Argentina, Chile and Ecuador (Mincetur,2010). The washing process consists of immersing the fiber into an aqueous medium formed by hot water (40-60°C) and detergents that, through gentle mechanical movements, eliminates the fiber impurities (grease, suintin, dust, dirt, etc.). In Peru thousands of peasant communities in charge of the exploitation of this product, commercialize the untreated fiber, without removing impurities In this work, a small washing equipment has been designed, according to the production capacity of Peruvian peasants who take care of vicuñas. This washing equipment allows the cleaning of the fiber through the feeding, dragging, dipping and squeezing processes, fulfilling the washing standards IWTO-19-981. The use of this equipment will allow obtaining a cleaner fiber without any type of felting, a saving 20 % of water and a yield of 90% compared to traditional manual washing.
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