15   Artículos

 
en línea
Wenhao Wang, Yun Shi, Wanfu Liu and Zijin Che    
Rising labor costs and a workforce shortage have impeded the development and economic benefits of the global grape industry. Research and development of intelligent grape harvesting technologies is desperately needed. Therefore, rapid and accurate identi... ver más
Revista: Agriculture    Formato: Electrónico

 
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
Junhong Zhao, Qixiao Hu, Bin Li, Yuming Xie, Huazhong Lu and Sai Xu    
Non-destructive detection and quality grading of the internal quality of grapes after harvest.
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yane Li, Ying Wang, Dayu Xu, Jiaojiao Zhang and Jun Wen    
The ?Kyoho? (Vitis labruscana) grape is one of the mainly fresh fruits; it is important to accurately segment the grape bunch and to detect its maturity level for the construction of an intelligent grape orchard. Grapes in the natural environment have di... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Yanmin Chen, Xiu Li, Mei Jia, Jiuliang Li, Tianyang Hu and Jun Luo    
In order to achieve accurate segmentation of each grape image per berry, we construct a dataset composed of red globe grape samples and use a two-stage ?localization?segmentation? framework-based mask region convolutional neural network (Mask R-CNN) and ... ver más
Revista: Applied Sciences    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
Shuzhi Su, Runbin Chen, Xianjin Fang, Yanmin Zhu, Tian Zhang and Zengbao Xu    
This study proposes a novel lightweight grape detection method. First, the backbone network of our method is Uniformer, which captures long-range dependencies and further improves the feature extraction capability. Then, a Bi-directional Path Aggregation... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Sotirios Kontogiannis and Christodoulos Asiminidis    
Climate change significantly affects viticulture by reducing the production yield and the quality characteristics of its final products. In some observed cases, the consequences of climate outages such as droughts, hail and floods are absolutely devastat... ver más
Revista: IoT    Formato: Electrónico

 
en línea
Asia A. M. Saadullah, Samir K. Abdullah     Pág. 1 - 8
Introduction: Dried vine fruits (raisins) and their juice are widely consumed by human as a diet. Raisins have been shown highly contaminated with ochratoxin A (OTA) and OTA-producing fungi. Ochratoxin A is a potent nephrotoxic and carcinogen to human an... ver más
Revista: Innovaciencia    Formato: Electrónico

 
usuarios registrados
M. Fatmi, V. D. Damsteegt, N. W. Schaad     Pág. 1 -
Revista: PLANT PATHOLOGY    Formato: Impreso

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