ARTÍCULO
TITULO

New Models for Predicting Diameter at Breast Height from Stump Dimensions

Westfall    
James A.    

Resumen

No disponible

 Artículos similares

       
 
María Dolores Granado-Castro, María Dolores Galindo-Riaño, Jesús Gestoso-Rojas, Lorena Sánchez-Ponce, María José Casanueva-Marenco and Margarita Díaz-de-Alba    
A new biosorbent obtained from Calabrese broccoli stalks has been prepared, characterised and used as an effective, low-cost and ecofriendly biomass to remove Pb(II) from aqueous solutions, without any complicated pretreatment. Structural and morphologic... ver más
Revista: Agronomy

 
Shuyan Liu, Xuegeng Chen, Dongyan Huang, Jingli Wang, Xinming Jiang, Xianzhang Meng and Xiaomei Gao    
Soil classification stands as a pivotal aspect in the domain of agricultural practices and environmental research, wielding substantial influence over decisions related to real-time soil management and precision agriculture. Nevertheless, traditional met... ver más
Revista: Agriculture

 
Xiuying Xu, Yingying Gao, Changhao Fu, Jinkai Qiu and Wei Zhang    
The cover of corn stover has a significant effect on the emergence and growth of soybean seedlings. Detecting corn stover covers is crucial for assessing the extent of no-till farming and determining subsidies for stover return; however, challenges such ... ver más
Revista: Agriculture

 
Yihan Chen, Wen Xiang and Minjuan Zhao    
On the basis of data collected from 1208 apple farmers in the provinces of Shaanxi and Gansu, this study utilizes the weighted-frequency method to investigate the priority sequence of farmers? preferences in choosing fertilizer-reduction and efficiency-i... ver más
Revista: Agriculture

 
Ping Dong, Kuo Li, Ming Wang, Feitao Li, Wei Guo and Haiping Si    
In addition to the conventional situation of detecting a single disease on a single leaf in corn leaves, there is a complex phenomenon of multiple diseases overlapping on a single leaf (compound diseases). Current research on corn leaf disease detection ... ver más
Revista: Agriculture