9   Artículos

 
en línea
Hao-Ran Qu and Wen-Hao Su    
Weeds and crops engage in a relentless battle for the same resources, leading to potential reductions in crop yields and increased agricultural costs. Traditional methods of weed control, such as heavy herbicide use, come with the drawback of promoting w... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Oscar Leonardo García-Navarrete, Adriana Correa-Guimaraes and Luis Manuel Navas-Gracia    
Weeds are unwanted and invasive plants that proliferate and compete for resources such as space, water, nutrients, and sunlight, affecting the quality and productivity of the desired crops. Weed detection is crucial for the application of precision agric... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Yueling Pei, Yanfang Sun, Yuan Chen, Tuizi Feng, Haiyan Che and Haibo Long    
The aim of this study was to determine the status of weed Solanum nigrum L. as a transitional host for Meloidogyne enterolobii and its effect on the population base of the nematodes in the next season. The nematode species infecting S. nigrum L. in a fal... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Xinle Zhang, Jian Cui, Huanjun Liu, Yongqi Han, Hongfu Ai, Chang Dong, Jiaru Zhang and Yunxiang Chu    
Soybean in the field has a wide range of intermixed weed species and a complex distribution status, and the weed identification rate of traditional methods is low. Therefore, a weed identification method is proposed based on the optimized Faster R-CNN al... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
L. G. Divyanth, D. S. Guru, Peeyush Soni, Rajendra Machavaram, Mohammad Nadimi and Jitendra Paliwal    
Applications of deep-learning models in machine visions for crop/weed identification have remarkably upgraded the authenticity of precise weed management. However, compelling data are required to obtain the desired result from this highly data-driven ope... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Borja Espejo-Garcia, Ioannis Malounas, Eleanna Vali and Spyros Fountas    
In the past years, several machine-learning-based techniques have arisen for providing effective crop protection. For instance, deep neural networks have been used to identify different types of weeds under different real-world conditions. However, these... ver más
Revista: AI    Formato: Electrónico

 
usuarios registrados
MARCONE, C.; RAGOZZINO, A.; SEEMÜLLER, E.     Pág. 530 - 537
Revista: PLANT PATHOLOGY    Formato: Impreso

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