Agriculture is the backbone of India’s economy, heavily reliant on crop revenue in this developing nation. With a rising population, the demand for food continues to grow, necessitating increased crop cultivation for sustainability. To ensure safe and plentiful crops, technological advancements are vital for optimal yields. Crop diseases significantly contribute to losses, often evident through leaf symptoms. Utilizing fertilizers and pesticides can effectively combat these issues, but emerging diseases pose ongoing challenges for farmers. Affordable, high-tech solutions are needed to identify and treat various crop diseases promptly. Genetic algorithms are crucial for early disease detection by segmenting images, while deep learning and image preprocessing enhance accuracy in vegetable pathology. These innovations have achieved a 95% accuracy in disease detection, reducing disease detection time by 50% and increasing early intervention success rates by 70%, crucial for sustainable agriculture in India.