28   Artículos

 
en línea
Utpal Barman, Parismita Sarma, Mirzanur Rahman, Vaskar Deka, Swati Lahkar, Vaishali Sharma and Manob Jyoti Saikia    
Invading pests and diseases always degrade the quality and quantity of plants. Early and accurate identification of plant diseases is critical for plant health and growth. This work proposes a smartphone-based solution using a Vision Transformer (ViT) mo... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Tianhao Gao, Meng Zhang, Yifan Zhu, Youjian Zhang, Xiangsheng Pang, Jing Ying and Wenming Liu    
Classifying sports videos is complex due to their dynamic nature. Traditional methods, like optical flow and the Histogram of Oriented Gradient (HOG), are limited by their need for expertise and lack of universality. Deep learning, particularly Convoluti... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Alaa Saeed, A. A. Abdel-Aziz, Amr Mossad, Mahmoud A. Abdelhamid, Alfadhl Y. Alkhaled and Muhammad Mayhoub    
Plant diseases affect the availability and safety of plants for human and animal consumption and threaten food safety, thus reducing food availability and access, as well as reducing crop yield and quality. There is a need for novel disease detection met... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Md Ishtyaq Mahmud, Muntasir Mamun and Ahmed Abdelgawad    
Creating machines that behave and work in a way similar to humans is the objective of artificial intelligence (AI). In addition to pattern recognition, planning, and problem-solving, computer activities with artificial intelligence include other activiti... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Wenxin Yang, Xiaoli Zhi and Weiqin Tong    
Current edge devices for neural networks such as FPGA, CPLD, and ASIC can support low bit-width computing to improve the execution latency and energy efficiency, but traditional linear quantization can only maintain the inference accuracy of neural netwo... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Qaisar Abbas, Talal Saad Albalawi, Ganeshkumar Perumal and M. Emre Celebi    
In recent years, advances in deep learning (DL) techniques for video analysis have developed to solve the problem of real-time processing. Automated face recognition in the runtime environment has become necessary in video surveillance systems for urban ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Amrutha K, Prabu P and Ramesh Chandra Poonia    
Sign language is a natural, structured, and complete form of communication to exchange information. Non-verbal communicators, also referred to as hearing impaired and hard of hearing (HI&HH), consider sign language an elemental mode of communication ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Yiwei Zhong, Baojin Huang and Chaowei Tang    
Cassava is a typical staple food in the tropics, and cassava leaf disease can cause massive yield reductions in cassava, resulting in substantial economic losses and a lack of staple foods. However, the existing convolutional neural network (CNN) for cas... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Haixia Sun, Shujuan Zhang, Rui Ren and Liyang Su    
Fruits with various maturity levels coexist among the harvested jujubes, and have different tastes and uses. Manual grading has a low efficiency and a strong subjectivity. The number of ?Hupingzao? jujubes between different maturity levels is unbalanced,... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Md. Reduanul Haque and Ferdous Sohel    
Eggplant is a popular vegetable crop. Eggplant yields can be affected by various diseases. Automatic detection and recognition of diseases is an important step toward improving crop yields. In this paper, we used a two-stream deep fusion architecture, em... ver más
Revista: Agriculture    Formato: Electrónico

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