Using AI to detect disease in hydroponic produce

In traditional farming, water use is typically high, and manual work is required on a regular basis, leading to inefficient use of resources and late crop disease detection.

In order to overcome these problems, this research suggests an IoT and artificial intelligence (AI) based smart hydroponics system for a sustainable agricultural system.

The application of AI image recognition for early disease detection and the real-time and historical plant data analysis for resource-management recommendations are suggested.

Hence, the study was proposed to develop the integrated smart hydroponics system which integrates AgriFlow, hydroponics, IoT, AI, remote access, and data driven optimization.

AgriFlow: An AI and IoT-Based Smart Hydroponic Farming System AgriFlow : An A IoT-Enabled Smart Hydroponic Farming System for Intelligent Monitoring, Automated Resource Management, and Plant Disease Detection AgriFlow: An AI and IoT-Based Smart Hydroponic Farming System 2.