Audio signals from stressed plants
Description
Dataset Description 1. Plant Stress Sound Dataset (CSV Format): plant_stress_sound_dataset.csv The plant_stress_sound_dataset.csv contains metadata for audio recordings of plant-emitted sounds under various stress conditions. Each row in the dataset represents an individual sound recording and includes details about the plant species, type of stress, environmental conditions, and additional relevant metadata for real-time monitoring. The dataset helps in labeling and correlating the recorded sound with the plant’s physiological state and environmental context. Columns: • Audio_File: The filename of the recorded plant sound (e.g., plant_drought_01.wav). • Stress_Type: The type of stress experienced by the plant (e.g., Drought, Nutrient Deficiency, Mechanical Damage). • Duration (s): The duration of the sound recording in seconds. • Plant_Species: The species of plant being monitored (e.g., Tomato, Corn, Wheat). • Temperature (°C): The environmental temperature during the recording. • Humidity (%): The relative humidity in the environment. • Soil_Moisture (%): The percentage of soil moisture, which is critical for understanding drought stress. • Timestamp: The exact time and date when the recording was made. • Location: Describes whether the sound was recorded in a controlled environment (e.g., Greenhouse) or an open agricultural field. This dataset allows deep learning models to learn and classify different stress conditions based on the plant’s emitted sound and environmental factors. 2. Audio Folder: plant_sounds/ The plant_sounds folder contains the actual audio recordings of plant-emitted sounds. Each file is a .wav or .mp3 format, corresponding to entries in the plant_stress_sound_dataset.csv file. The recordings are labeled based on the type of stress (e.g., plant_drought_01.wav, plant_nutrient_02.wav), and they capture airborne sound emissions linked to different plant stressors like drought, nutrient deficiency, or mechanical damage. Example Files: • plant_drought_01.wav: A recording of a plant experiencing drought stress. • plant_nutrient_02.wav: A recording of a plant suffering from nutrient deficiency. • plant_damage_03.wav: A recording of a plant with mechanical damage. These audio files serve as the input to the deep learning model for analyzing sound patterns and detecting stress in plants.