AI-based Natural Hydroponics in Tropical Environments: Editing Model and Graphics with Temperature Integration

AI Natural Hydroponics in Tropical Environment: Editing Model & Graphics with Temperature by Debabrata Das, Prakriti, Aranya, and Santa Ana explores an innovative integration of artificial intelligence with natural hydroponic systems in tropical environments. Published by AkiNik Publications, the book presents temperature-controlled environmental editing models and algorithm-based approaches to optimize plant growth without soil. It emphasizes the role of water quality parameters such as pH, dissolved oxygen, BOD, COD, conductivity, alkalinity, and hardness, all regulated through temperature-driven models. The authors propose digital hydroponics as a sustainable alternative to soil-based cultivation, reducing exposure to harmful metals and improving nutrient efficiency. Blending data science, graphical analysis, and bio-computational techniques, this work provides a forward-looking framework for precision agriculture, fisheries integration, and climate-responsive food production systems suited to tropical conditions.