Artificial intelligence techniques and image analysis technology are crucial in the fields of biology and agriculture. It is well known that adopting preventive measures can help a healthy crop yield high-quality output. The automatic detection of plant diseases and the cultivation of healthy crops are essential aspects of agricultural automation. Plant disease is defined as any impairment to normal physiological function that produces characteristic symptoms. Crop disease studies involve examining the visually observable patterns on crop leaves. Identifying crops, leaves, and stems, and determining the presence and extent of pests or diseases is highly effective for successful crop cultivation. Farmers typically use manual observation to detect and identify crop diseases, which requires continuous monitoring and is challenging for those managing large farms. With the aid of imaging technology, crop disease detection systems can automatically detect symptoms on the leaves and stems of crops, helping farmers cultivate healthy crops. Any variations from the characteristic features of parts like leaves and stems will be automatically identified by the imaging technology system, and the user will be notified.