|
|
|
|
|
Hailiang Gong, Xi Wang and Weidong Zhuang
This study focuses on real-time detection of maize crop rows using deep learning technology to meet the needs of autonomous navigation for weed removal during the maize seedling stage. Crop row recognition is affected by natural factors such as soil expo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hafiza Sundus Fatima, Imtiaz ul Hassan, Shehzad Hasan, Muhammad Khurram, Didier Stricker and Muhammad Zeshan Afzal
Weed management is becoming increasingly important for sustainable crop production. Weeds cause an average yield loss of 11.5% billion in Pakistan, which is more than PKR 65 billion per year. A real-time laser weeding robot can increase the crop?s yield ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nithin Kumar, Nagarathna and Francesco Flammini
The most incredible diversity, abundance, spread, and adaptability in biology are found in insects. The foundation of insect study and pest management is insect recognition. However, most of the current insect recognition research depends on a small numb...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yifan Liu, Weiliang Gao, Tingting Zhao, Zhiyong Wang and Zhihua Wang
The aim of this study is to enhance the efficiency and lower the expense of detecting cracks in large-scale concrete structures. A rapid crack detection method based on deep learning is proposed. A large number of artificial samples from existing concret...
ver más
|
|
|
|
|
|
|
|
|
|
|
Reihan Alinia Lat, Sebelan Danishvar, Hamed Heravi and Morad Danishvar
In recent years, the topic of contactless biometric identification has gained considerable traction due to the COVID-19 pandemic. One of the most well-known identification technologies is iris recognition. Determining the classification threshold for lar...
ver más
|
|
|
|
|
|
|
|
|
|
|
Minki Hong, Hanse Ahn, Othmane Atif, Jonguk Lee, Daihee Park and Yongwha Chung
Failure to quickly and accurately detect abnormal situations, such as the occurrence of infectious diseases, in pig farms can cause significant damage to the pig farms and the pig farming industry of the country. In this study, we propose an economical a...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hao Cheng, Stefania Zourlidou and Monika Sester
Accurate information of traffic regulators at junctions is important for navigating and driving in cities. However, such information is often missing, incomplete or not up-to-date in digital maps due to the high cost, e.g., time and money, for data acqui...
ver más
|
|
|
|
|
|
|
|
|
|
|
Haikel Alhichri, Yakoub Bazi, Naif Alajlan and Bilel Bin Jdira
This work presents a deep learning method for scene description. (1) Background: This method is part of a larger system, called BlindSys, that assists the visually impaired in an indoor environment. The method detects the presence of certain objects, reg...
ver más
|
|
|
|
|
|
|
|
|
|
|
Samee Ullah Khan, Ijaz Ul Haq, Seungmin Rho, Sung Wook Baik and Mi Young Lee
Movies have become one of the major sources of entertainment in the current era, which are based on diverse ideas. Action movies have received the most attention in last few years, which contain violent scenes, because it is one of the undesirable featur...
ver más
|
|
|
|
|
|