Impact and Analysis of Disease Spread in Paddy Crops using Environmental Factors with the Support of X-Step Algorithm

India is an agriculture-based country, with paddy being the main crop cultivated on nearly half of its agricultural lands. Paddy cultivation faces numerous challenges, particularly diseases that affect growth and yield. Adult crops are especially vulnerable to caused by various factors, such as green rice leafhopper, leaf folder, brown plant leafhopper. These insects inflict damage crops, restricting their leading significant losses. This research paper investigates impact environmental factors disease spread in using X-Step Algorithm for analysis. The study aims better understand role conditions, including air, water, soil quality, development progression crops. knowledge will help optimize prevention management strategies improved yields food security. Algorithm, a novel machine learning algorithm, was employed model predict spread, taking into account factors. proposed algorithm analyses images either manually captured or taken sensors evaluate data-driven approach allows more accurate timely predictions, enabling farmers experts implement appropriate interventions.