33   Artículos

 
en línea
Lina Zhou, Leijinyu Zhou, Hongbo Wu, Tingting Jing, Tianhao Li, Jinsheng Li, Lijuan Kong and Limei Chen    
In order to monitor cadmium contamination in lettuce quickly, non-invasively, and accurately, and to understand the growth status of lettuce under cadmium pollution, lettuce was used as the test material to detect and analyze the visible?near-infrared re... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Sergio Vélez, Enrique Barajas, José Antonio Rubio, Dimas Pereira-Obaya and José Ramón Rodríguez-Pérez    
This study explores spectroscopy in the 350 to 2500 nm range for detecting powdery mildew (Erysiphe necator) in grapevine leaves, crucial for precision agriculture and sustainable vineyard management. In a controlled experimental vineyard setting, the sp... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Yaoyu Li, Tengteng Qu, Yuzhi Wang, Qixin Zhao, Shujie Jia, Zhe Yin, Zhaodong Guo, Guofang Wang, Fuzhong Li and Wuping Zhang    
Soil moisture critically influences crop growth, especially in dryland environments. Precise agricultural management requires real-time monitoring of stratified soil moisture and assessment of crops? daily water needs. We aim to provide low-cost, high-th... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Enrico Santangelo, Angelo Del Giudice, Simone Figorilli, Simona Violino, Corrado Costa, Marco Bascietto, Simone Bergonzoli and Claudio Beni    
The autonecrotic tomato line V20368 (working code IGSV) spontaneously develops necrotic lesions with acropetal progression in response to an increase in temperature and light irradiation. The process is associated with the interaction between tomato and ... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Jiaqiang Wang, Caiyun Yin, Weiyang Liu, Wenhao Xia and Songrui Ning    
Soil salinity affects nutrient uptake by cotton. The cotton bud stage is a very important period in the process of cotton planting and directly affects the yield of cotton. The nutritional status of the bud stage directly affects the reflectance spectra ... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Grace A. Adegoye, Omolayo J. Olorunwa, Firas A. Alsajri, Charles H. Walne, Chaturika Wijewandana, Swatantra R. Kethireddy, Krishna N. Reddy and K. Raja Reddy    
In humid climates, waterlogging from excessive rainfalls can be a major limiting factor for soybean production, particularly during the reproductive stage. However, there is a limited understanding of how soybean growth and physiology respond to waterlog... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Lukas Wiku Kuswidiyanto, Dong Eok Kim, Teng Fu, Kyoung Su Kim and Xiongzhe Han    
The cultivation of kimchi cabbage in South Korea has always faced significant challenges due to the looming presence of Alternaria leaf spot (ALS), which is a fungal disease mainly caused by Alternaria alternata. The emergence of black spots resulting fr... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Maylin Acosta, Isabel Rodríguez-Carretero, José Blasco, José Miguel de Paz and Ana Quiñones    
Visible and near-infrared (Vis/NIR) hyperspectral imaging (HSI) was used for rapid and non-destructive determination of macro- and micronutrient contents in persimmon leaves. Hyperspectral images of 687 leaves were acquired in the 500?980 nm range over 6... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Lili Zhou, Chenwei Nie, Tao Su, Xiaobin Xu, Yang Song, Dameng Yin, Shuaibing Liu, Yadong Liu, Yi Bai, Xiao Jia and Xiuliang Jin    
Maize is one of the main grain reserve crops, which directly affects the food security of the country. It is extremely important to evaluate the growth status of maize in a timely and accurate manner. Canopy Chlorophyll Density (CCD) is closely related t... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Yue Yu, Haiye Yu, Xiaokai Li, Lei Zhang and Yuanyuan Sui    
The information acquisition about potassium, which affects the quality and yield of crops, is of great significance for crop nutrient management and intelligent decision making in smart agriculture. This article proposes a method for predicting the rice ... ver más
Revista: Agronomy    Formato: Electrónico

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