Thermal Imaging and Disease Detection in Patharchatta Plant

Plant diseases cause significant agricultural losses, affecting both crop yield and quality. Early detection is crucial for effective disease management. This study explores thermal imaging as a non-invasive method for identifying plant stress in Patharchatta (Kalanchoe pinnata). Two cases were analyzed: wilting due to dehydration and black spot disease from overwatering.Thermal thresholds of 16°C (early stress) and 18°C (critical damage) were experimentally identified, particularly in fungal-infected Patharchatta plants.A thermal image-based classification model was developed to support detection, achieving over 91% accuracy.The findings demonstrate that thermal imaging is a promising, real-time toolfor early disease detection, enabling proactive plant health management.