COGNITIVE AGRO-METABOLISM : ASCENDANT VERTICAL ECO-OPTIMIZATION MATRIX
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COGNITIVE AGRO-METABOLISM : ASCENDANT VERTICAL ECO-OPTIMIZATION MATRIX
Authors
1st Mr. V. Udhayakumar, 2ndS.Shahitya
1Professor, Department of Computer Applications, Sri Manakula Vinayagar Engineering College (Autonomous), Puducherry 605008, India
2Post Graduate student, Department of computer Applications, Sri Manakula Vinayagar Engineering College (Autonomous), Puducherry 605008, India
Abstract:
This project is dedicated to transforming traditional agricultural practices through the implementation of vertical farming, a cutting-edge approach that allows for the efficient planting and cultivation of a diverse range of fruits and vegetables. Utilizing three innovative methods—hydroponics, aeroponics, and quaponics this initiative aims to maximize yield while significantly reducing resource consumption in terms of time and space. The result is a higher output of nutrient-rich produce, essential for meeting the growing demand for healthy food options in urban environments. The process begins by capturing client requests and conducting a thorough assessment of product availability. This step ensures that the cultivation strategies align with market demand, allowing for a more responsive and efficient production cycle. Once requests are registered, the project implements advanced cultivation techniques to optimize growth conditions, such as tailored nutrient solutions, climate control systems, and automated monitoring. This level of precision in the cultivation phase is critical for ensuring that the plants thrive in a controlled environment, leading to increased productivity.
Keywords: Vertical farming, traditional agricultural practices, efficient planting, cultivation, fruits and vegetables, hydroponics, aeroponics, quaponics, maximize yield, resource consumption, time and space efficiency, nutrient-rich produce, urban environments.