Investigation on automatic nutrient supply system in hydroponic farming using deep networks

Abstract

With the recent trends in urban farming, resource scarcity, changing climate conditions, and weather patterns, there is an emerging need for unconventional farming practices where reliance on soil, excessive water, and the necessity of pesticides can be excluded. Hydroponic Farming System (HFS) is touted as a potential climate-resilient strategy for cultivating high-value crops, vegetables, and flowers under controlled environmental conditions. The realization of hydroponic systems primarily hinges on the proportion of vital nutrients in hydroponic liquid, which comprises all the indispensable mineral substances required for crop growth and optimal yield. However, the deficiency of effective and optimum nutrient management methods confines its applications on a large-scale commercial basis. The growth of plants largely in HFS also depends on the cultivation environmental parameters (e.g., temperature, humidity, lighting, etc.), quality of fertilized water (e.g., Potential of Hydrogen (pH) and Electrical Conductivity (EC)), and water level. newline