|
|
|
|
|
Samuele Bumbaca and Enrico Borgogno-Mondino
This work was aimed at developing a prototype system based on multispectral digital photogrammetry to support tests required by international regulations for new Plant Protection Products (PPPs). In particular, the goal was to provide a system addressing...
ver más
|
|
|
|
|
|
|
|
|
Janai Pereira de Albuquerque, João Paulo Ribeiro-Oliveira, João Bosco de Oliveira-Júnior, Frederico Henrique da Silva Costa and Edvaldo Aparecido Amaral da Silva
Sample size fluctuation and the restriction of measurements that demonstrate kinetics (typical of physiological processes) are two of the largest inferential constraints in studies on embryonic development in vitro. Thus, we hypothesize that a practical ...
ver más
|
|
|
|
|
|
|
|
|
Xintian Ma, Xiangyi Wang, Yingbin He, Yan Zha, Huicong Chen and Shengnan Han
Generic parameter calibration for crop growth models is a very important step in model use. However, studies of the effect of sample size and sampling methods on the calibration and validation of genotypic parameters have seldom been conducted. Scientist...
ver más
|
|
|
|
|
|
|
|
|
Eduardo González María, Antonio Madueño Luna, Agustín Conesa Celdrán, Gemma Martínez Muñoz, Martin John Oates and Antonio Ruiz-Canales
In this article a case study of characterisation of type of honey based on floral origin is presented. It is intended to discriminate Iberian honeys from local beekeepers located in the Community of Madrid (Spain), by means of a low-cost electronic nose ...
ver más
|
|
|
|
|
|
|
|
|
Bin Li, Yuqi Wang, Lisha Li and Yande Liu
Machine learning is used widely in near-infrared spectroscopy (NIRS) for fruit qualification. However, the directly split training set used contains redundant samples, and errors may be introduced into the model. Euclidean distance-based and K-nearest ne...
ver más
|
|
|
|