15   Artículos

 
en línea
Sotirios Kontogiannis, Myrto Konstantinidou, Vasileios Tsioukas and Christos Pikridas    
In viticulture, downy mildew is one of the most common diseases that, if not adequately treated, can diminish production yield. However, the uncontrolled use of pesticides to alleviate its occurrence can pose significant risks for farmers, consumers, and... ver más
Revista: Information    Formato: Electrónico

 
en línea
Yurika Permanasari, Budi Nurani Ruchjana, Setiawan Hadi and Juli Rejito    
Object identification is a part of the field of computer science, namely, image processing, whose research continues to innovate. Object identification describes an object based on the main characteristics of the object. Many research innovations related... ver más

 
en línea
Sujith Gunturu, Arslan Munir, Hayat Ullah, Stephen Welch and Daniel Flippo    
To obtain more consistent measurements through the course of a wheat growing season, we conceived and designed an autonomous robotic platform that performs collision avoidance while navigating in crop rows using spatial artificial intelligence (AI). The ... ver más
Revista: AI    Formato: Electrónico

 
en línea
Chuandong Zhang, Huali Ding, Qinfeng Shi and Yunfei Wang    
Due to differences in planting environment, color, shape, size, and compactness, accurate detection of grape clusters is very difficult. Herein, a real-time detection method for grape clusters based on the YOLOv5s deep learning algorithm was proposed. Mo... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Rong Wang, Zongzhi Gao, Qifeng Li, Chunjiang Zhao, Ronghua Gao, Hongming Zhang, Shuqin Li and Lu Feng    
Natural breeding scenes have the characteristics of a large number of cows, complex lighting, and a complex background environment, which presents great difficulties for the detection of dairy cow estrus behavior. However, the existing research on cow es... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Zhi-Hao Chen and Jyh-Ching Juang    
To ensure safety in aircraft flying, we aimed to use deep learning methods of nondestructive examination with multiple defect detection paradigms for X-ray image detection. The use of the fast region-based convolutional neural network (Fast R-CNN)-driven... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Sarfraz Ahmed, M. Nazmul Huda, Sujan Rajbhandari, Chitta Saha, Mark Elshaw and Stratis Kanarachos    
As autonomous vehicles become more common on the roads, their advancement draws on safety concerns for vulnerable road users, such as pedestrians and cyclists. This paper presents a review of recent developments in pedestrian and cyclist detection and in... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Augustas Urbonas, Vidas Raudonis, Rytis Maskeliunas and Robertas Dama?evicius    
In the lumber and wood processing industry, most visual quality inspections are still done by trained human operators. Visual inspection is a tedious and repetitive task that involves a high likelihood of human error. Currently, new automated solutions w... ver más
Revista: Applied Sciences    Formato: Electrónico

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