Revolutionising agriculture: integrating hydroponics, AI, and machine learning for optimal plant growth and food security

Hydroponics, also termed aquaponics, nutri culture, or soilless culture has formed a revolution in the agricultural industry. Aggregating AI with hydroponics aids in tackling global food security. In line with this vision, a hydroponic system was constructed utilising the deep water culture method for the green chilli plant. Hydrobuddy, an open-source application, identified the proper nutrient to prepare the solution. IoT devices were used to collect and monitor the data: EC level, pH level, humidity, and air temperature at regular intervals. To augment our efforts, a machine-learning model to predict the dry weight of the tomatoes with the open-source datasets (OpenAg) was formulated to study the growth of tomato plants. Through this initial study, the optimal EC and pH values for the development of two plants (green chilli and tomato) belonging to the Solanaceae family were similar. Considerable results with better analysis of the fundamental traits that are necessary for the optimal growth of the chilli plant are formalised. By amalgamating hydroponics, AI, sensor technology, and machine learning, the model is poised to revolutionise the field of agriculture and effectively address the global challenges of food security.