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John Efromson, Roger Lawrie, Thomas Jedidiah Jenks Doman, Matthew Bertone, Aurélien Bègue, Mark Harfouche, Dominic Reisig and R. Michael Roe
Rapid, accurate insect identification is the first and most critical step of pest management and vital to agriculture for determining optimal management strategies. In many instances, classification is necessary within a short developmental window. Two e...
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Tao Wang, Zhengdao Liu, Xiaoli Yan, Guopeng Mi, Suyuan Liu, Kezhou Chen, Shilin Zhang, Xun Wang, Shuo Zhang and Xiaopeng Wu
Due to a lack of an accurate model in finite element simulation of mechanized harvesting of wild chrysanthemum, the stem of wild chrysanthemum in the harvesting period is taken as the research object. ANSYS Workbench 19.0 software and LS-DYNA software (L...
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Melanie Kirchhoefer, Johannes Schumacher, Petra Adler and Gerald Kändler
Integration of remote sensing (RS) data in forest inventories for enhancing plot-based forest variable prediction is a widely researched topic. Geometric consistency between forest inventory plots and areas for extraction of RS-based predictive metrics i...
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Francisco Rodríguez,Ricardo Blanco,Álvaro Aunós
Pág. e033
Aim of study: Cross-sectional area is one of the most important forest inventory variable since it is highly correlated with growth and yield at both tree and stand levels. In this research, we evaluated the bias, precision and accuracy of three measurem...
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Karel Ku?elka,Róbert Maru?ák
Pág. e008
Aim of study: To optimize an interpolation method and distribution of measured diameters to represent regular stem form of coniferous trees using a set of discrete points.Area of study: Central-Bohemian highlands, Czech Republic; a region that represents...
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