Cyber-Physical System Framework for Efficient Management of Indoor Farming Production

Abstract

World population is expected to reach 9.7 billion by 2050. Thus, a significant increase in agricultural production is required to accommodate population growth. However, environmental crises and urbanization pose a threat to agriculture. Vertical farming can partially mitigate these effects by growing plants while optimizing space and maximizing several outdoor resources. However, this approach necessitates thoroughly re-evaluating cultivation techniques and environmental factors. This chapter proposes a holistic, sustainable agricultural framework for developing indoor farming systems, which consists of a methodology for creating crop growth procedures from experimental data using statistical analysis and artificial intelligence algorithms. The proposed method aims to balance resource utilization and productivity in vertical farming. Furthermore, the authors propose a design framework to create a sustainable aeroponic system structure. This structure aims to provide a test bench to prove the effectiveness of the said methodology.