187   Artículos

 
en línea
Jiuyuan Zhang, Jingshan Lu, Qiuyan Zhang, Qimo Qi, Gangjun Zheng, Fadi Chen, Sumei Chen, Fei Zhang, Weimin Fang and Zhiyong Guan    
Crown diameter is one of the crucial indicators for evaluating the adaptability, growth quality, and ornamental value of garden chrysanthemums. To accurately obtain crown diameter, this study employed an unmanned aerial vehicle (UAV) equipped with a RGB ... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Julia Mayer, Martin Memmel, Johannes Ruf, Dhruv Patel, Lena Hoff and Sascha Henninger    
Urban tree cadastres, crucial for climate adaptation and urban planning, face challenges in maintaining accuracy and completeness. A transdisciplinary approach in Kaiserslautern, Germany, complements existing incomplete tree data with additional precise ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Xin Zhao, Zeyi Zhao, Fengnian Zhao, Jiangfan Liu, Zhaoyang Li, Xingpeng Wang and Yang Gao    
Accurate nitrogen fertilizer management determines the yield and quality of fruit trees, but there is a lack of multispectral UAV-based nitrogen fertilizer monitoring technology for orchards. Therefore, in this study, a field experiment was conducted by ... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Zijia Zheng, Yizhu Jiang, Qiutong Zhang, Yanling Zhong and Lizheng Wang    
The timely monitoring of urban water bodies using unmanned aerial vehicle (UAV)-mounted remote sensing technology is crucial for urban water resource protection and management. Addressing the limitations of the use of satellite data in inferring the wate... ver más
Revista: Water    Formato: Electrónico

 
en línea
Maria Balota, Sayantan Sarkar, Rebecca S. Bennett and Mark D. Burow    
Peanut (Arachis hypogaea L.) plants respond to drought stress through changes in morpho-physiological and agronomic characteristics that breeders can use to improve the drought tolerance of this crop. Although agronomic traits, such as plant height, late... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Ching-Lung Fan    
The emergence of deep learning-based classification methods has led to considerable advancements and remarkable performance in image recognition. This study introduces the Multiscale Feature Convolutional Neural Network (MSFCNN) for the extraction of com... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Minghua Li, Yang Liu, Xi Lu, Jiale Jiang, Xuehua Ma, Ming Wen and Fuyu Ma    
The accurate assessment of nitrogen (N) status is important for N management and yield improvement. The N status in plants is affected by plant densities and N application rates, while the methods for assessing the N status in drip-irrigated cotton under... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Nyo Me Htun, Toshiaki Owari, Satoshi Tsuyuki and Takuya Hiroshima    
High-value timber species with economic and ecological importance are usually distributed at very low densities, such that accurate knowledge of the location of these trees within a forest is critical for forest management practices. Recent technological... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Guangfei Wei, Huifang Chen, En Lin, Xuhua Hu, Hengwang Xie, Yuanlai Cui and Yufeng Luo    
The accurate identification of the water layer condition of paddy fields is a prerequisite for precise water management of paddy fields, which is important for the water-saving irrigation of rice. Until now, the study of unmanned aerial vehicle (UAV) rem... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Jian Xu, Xiaowen Zhou, Chaolin Han, Bing Dong and Hongwei Li    
Accurate translation of aerial imagery to maps is a direction of great value and challenge in mapping, a method of generating maps that does not require using vector data as traditional mapping methods do. The tremendous progress made in recent years in ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

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