Implementation of Root Zone Management System Utilizing Predictive Modelling for Optimized Nutrient Solution Supply in Hydroponic Floriculture

This study explores how artificial intelligence (AI) and advanced sensors can improve flower farming, focusing on chrysanthemums and roses. A new type of sensor was developed to better measure electrical conductivity(EC) in water and used AI to predict how much water and nutrients the plants need. The results are promising for making floriculture farming more sustainable and productive, using less water and nutrients while maintaining high-quality plants. This approach could help floriculture farmers face the challenges of today's market, offering a step towards the future of farming with technology.