Editorial: Emerging sustainable and green technologies for improving agricultural production
10.3389/fpls.2025.1678701
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10.3389/fpls.2025.1678701
Emerging technologies such as computer vision and Artificial Intelligence (AI) are estimated to leverage the accessibility of big data for active training and yielding operational real time smart machines and predictable models. This phenom...
https://doi.org/10.1016/j.jafr.2020.100033
https://doi.org/10.1016/s0260-8774(03)00183-3
The revolution in digital computer technology that has made possible new and sophisticated imaging techniques may next influence the interpretation of radiologic images. In mammography, computer vision and artificial intelligence techniques...
https://doi.org/10.2214/ajr.162.3.8109525
Visual servo control is a key robotic control technique that uses visual feedback to dynamically adjust movements. This study, conducted within the AIM@VET project, evaluates the effectiveness of a RoboDK-based lesson with 25 vocational stu...
10.21556/edutec.2025.94.3955
Being able to accurately identify litter in a marine environment is crucial to cleaning up our seas and oceans. Research into object detection techniques to support this identification has been underway for over two decades. However, there ...
10.3390/jmse13081590
Artificial intelligence (AI) is reshaping healthcare by enhancing diagnostic precision, treatment personalization, and overall patient care. By leveraging technologies such as machine learning, deep learning, natural language processing, an...
10.2478/amb-2026-0050
https://doi.org/10.1016/b978-0-12-373642-0.x5001-7
A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geome...
https://doi.org/10.1017/cbo9780511811685
https://doi.org/10.1016/0924-2244(96)10028-5
LiDARs are one of the key sources of reliable environmental ranging information for autonomous vehicles. However, segmentation of 3D scene elements (roads, buildings, people, cars, etc.) based on LiDAR point clouds has limitations. On the o...
10.1109/ACCESS.2023.3298706
Background: Varicose veins (VVs) of the lower limbs, characterized by palpable, dilated, and tortuous veins, affect 2–73% of the global population. Artificial intelligence (AI) offers significant potential to enhance healthcare efficiency a...
10.3390/jvd4020019
Metallographic evaluation of nodular cast iron is crucial for quality control in the foundry industry. Traditionally, this process relies on experts who visually interpret microscopic images. This study introduces HawkEye, a comprehensive s...
10.3390/app15136991
On the one hand, the solution of computer vision tasks is associated with the development of various kinds of images or random fields mathematical models, i.e., algorithms, that are called traditional image processing. On the other hand, no...
10.3390/math10214021
https://doi.org/10.1016/j.compag.2012.07.010
OBJECTIVE(S): To develop and assess AI algorithms to identify operative steps in laparoscopic sleeve gastrectomy (LSG). BACKGROUND: Computer vision, a form of artificial intelligence (AI), allows for quantitative analysis of video by comput...
https://doi.org/10.1097/sla.0000000000003460
PMC: 7216040
https://doi.org/10.1016/j.compag.2020.105672
Moringa Oleifera, which has outstanding nutritional and health benefits, is prized around the world because its leaves are rich in essential vitamins, antioxidants, and minerals that support digestion, help the immune system, and fight infl...
10.1016/j.dib.2025.112174
Abstract Ischemic stroke is the most common stroke and the leading cause of disability and death in the world. Computed tomography (CT) is a popular and economical diagnostic device for the stroke, However the ischemic stroke lesions are no...
10.1049/ipr2.12267
https://doi.org/10.1016/s0143-8166(01)00145-2