AIMC Topic: Glycine max
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Nondestructive Classification of Soybean Seed Varieties by Hyperspectral Imaging and Ensemble Machine Learning Algorithms.
Sensors (Basel, Switzerland)
Dec 7, 2020
During the processing and planting of soybeans, it is greatly significant that a reliable, rapid, and accurate technique is used to detect soybean varieties. Traditional chemical analysis methods of soybean variety sampling (e.g., mass spectrometry a...
Interactive machine learning for soybean seed and seedling quality classification.
Scientific reports
Jul 9, 2020
New computer vision solutions combined with artificial intelligence algorithms can help recognize patterns in biological images, reducing subjectivity and optimizing the analysis process. The aim of this study was to propose an approach based on inte...
Assessing crop damage from dicamba on non-dicamba-tolerant soybean by hyperspectral imaging through machine learning.
Pest management science
May 30, 2019
BACKGROUND: Dicamba effectively controls several broadleaf weeds. The off-target drift of dicamba spray or vapor drift can cause severe injury to susceptible crops, including non-dicamba-tolerant crops. In a field experiment, advanced hyperspectral i...
Investigation of a rapid infrared heating assisted mineralization of soybean matrices for trace element analysis.
Food chemistry
Dec 19, 2018
A fast sample preparation procedure based on use of infrared (IR) assisted heating for mineralization of soybean derived samples has been developed for their subsequent multielement analysis by inductively coupled plasma optical emission spectrometry...
Soybean inoculants in Brazil: an overview of quality control.
Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]
Nov 29, 2018
The bacterial strains SEMIA 587 and 5019 (Bradyrhizobium elkanii), 5079 (Bradyrhizobium japonicum), and 5080 (Bradyrhizobium diazoefficiens) are recommended for soybean inoculants in Brazil. In several countries, the current regulations are insuffici...
Leaching and sorption of neonicotinoid insecticides and fungicides from seed coatings.
Journal of environmental science and health. Part. B, Pesticides, food contaminants, and agricultural wastes
Dec 29, 2017
Seed coatings are a treatment used on a variety of crops to improve production and offer protection against pests and fungal outbreaks. The leaching of the active ingredients associated with the seed coatings and the sorption to soil was evaluated un...
Extraction optimization, purification and characterization of polysaccharides from the seed coat of black soybean.
PloS one
Dec 21, 2017
In this study, the extraction of water-soluble polysaccharides from the seed coat of black soybean (BSCP) was investigated and optimized. A response surface methodology based on a Box-Behnken design (BBD) was used to optimize the extraction condition...
Electrochemiluminescent detection of cardiac troponin I by using soybean peroxidase labeled-antibody as signal amplifier.
Talanta
Dec 6, 2017
This work proposed an electrochemiluminescence (ECL) immunosensor for quantitative monitoring of cardiac troponin I (cTnI) in plasma with soybean peroxidase (SBP) labeled-antibody as signal amplifier. The ECL sandwich immunosensor was constructed by ...
Prediction of Short-Distance Aerial Movement of Phakopsora pachyrhizi Urediniospores Using Machine Learning.
Phytopathology
Sep 6, 2017
Dispersal of urediniospores by wind is the primary means of spread for Phakopsora pachyrhizi, the cause of soybean rust. Our research focused on the short-distance movement of urediniospores from within the soybean canopy and up to 61 m from field-gr...
Artificial neural networks as auxiliary tools for the improvement of bean plant architecture.
Genetics and molecular research : GMR
Jun 29, 2017
Classification using a scale of visual notes is a strategy used to select erect bean plants in order to improve bean plant architectures. Use of morphological traits associated with the phenotypic expression of bean architecture in classification pro...
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