Advanced Internet of Things (IoT) Dataset

The Advanced IoT Dataset contains a large collection of agricultural plant growth data captured using IoT-based sensing and measurement techniques. It comprises 30,000 records with 14 attributes, each representing key physiological and morphological characteristics of plants. The dataset includes measurements such as the average chlorophyll content in the plant, plant height rate, average leaf area, number of leaves, root length and diameter, wet and dry weights of both vegetative parts and roots, and percentages of dry matter for vegetative and root growth. These features collectively describe plant health, growth performance, and biomass distribution. Additionally, the dataset includes a class label, which categorizes each record (e.g., SA), making it suitable for machine learning tasks such as classification, prediction, and performance analysis in smart agriculture and IoT-driven crop monitoring systems.