"Hydroponic Lettuce growth "

"This dataset contains plant growth data collected from three different hydroponic cultivation systems: Aeroponics, Nutrient Film Technique (NFT), and Deep Water Culture (DWC) over a period of 30 days. The experiment was conducted to observe and compare plant growth behavior across different soilless cultivation techniques under controlled conditions.The dataset includes daily growth observations and image data captured throughout the experimental period. Plant images were taken from two perspectives: top view and front view, enabling analysis of plant morphology such as canopy expansion, leaf development, and plant height.The dataset provides visual and growth-related information that can support plant phenotyping, comparative analysis of hydroponic systems, and computer vision\u2013based plant growth monitoring. It can also be used for developing machine learning and deep learning models for plant growth analysis, biomass estimation, and smart agriculture applications.This dataset is useful for researchers, students, and practitioners working in controlled environment agriculture, hydroponics, precision agriculture, and AI-driven crop monitoring systems.Key Features of the DatasetCultivation Systems:AeroponicsNutrient Film Technique (NFT)Deep Water Culture (DWC)Experiment Duration: 30 daysImage Data:Top view imagesFront view imagesData Type: plant imagesPotential Applications:Plant phenotypingComparative analysis of hydroponic systemsComputer vision for plant growth monitoringAI and machine learning for smart agriculture"