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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...
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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...
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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...
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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 ...
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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...
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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...
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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...
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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...
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