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 ...

A comprehensive GitHub repository for mastering Computer Vision through Python and AI-powered tools. Includes tutorials, notebooks, projects, OpenCV, YOLO, CNNs, and real-world applications in image ...

Digital image processing technology is one of the core methods for identifying cracks in asphalt pavement. Through algorithm optimization and process design, the full chain processing from image ...

In battery cell production, maintaining high quality and reducing material waste is crucial. Digital image processing and machine vision solutions enable reliable defect detection, ensuring the ...

Developed an image processing pipeline to recognize rice grain types, count grains, measure dimensions, and detect defects using Python libraries like OpenCV and NumPy.

Currently, the need to adopt sustainability in the use of inputs in crop production is crucial in meeting out growing demand for food and assets and factors such as climate change and scarcity of ...

Due to the necessity and importance of the mechanization of agricultural systems and the help of image processing, many research and public works have been done on this issue. C.S. Nandy et al. have ...

The third-party Pillow library, formerly known as PIL (the Python Imaging Library), provides a slew of modules for reading various image formats, processing image data, performing common ...

The federal government is processing citizenship requests at the fastest clip in a decade, moving rapidly through a backlog that built up during the Trump administration and the coronavirus pandemic.