Integration of Image Processing and Machine Learning Technique applied in Agriculture Sector Using Python

Image processing has emerged as a crucial technology in agriculture, facilitating tasks such as crop monitoring, disease detection, and yield estimation. Python, with its extensive libraries and tools, has become a popular choice for implementing image processing algorithms in this field. This paper explores the applications of image processing in agriculture, emphasizing the capabilities of Python. It reviews key Python libraries, techniques, and real-world applications, demonstrating how Python enhances agricultural image processing.