The dataset comprises approximately 11,000 news articles and serves as a valuable resource for researchers interested in exploring trends in the soybean market. Importantly, this dataset can be utilized for tasks such as classification and natural language processing. It provides insights into labeled ...
Soybean Seeds Classification. (The blue, yellow, and red circles in the diagram correspond to the concealed type, mild type, and severe type of seeds, respectively) Full size image Finally, soybean seeds of the concealed type were selected for subsequent experiments, as this type of seeds are...
LFW, and LAI. Six image parameters were involved in this case, three of which were side image parameters (SCA1, SPA1, and SSC) and three of which were top image parameters (TCA1, TPA1, and TSC). As in the previous example, the side image parameters matched the...
This component classifies a query protein sequence into one of the 64 TF families. Additional file4(Figure S4) illustrates the web page for family classification. A submitted query sequence is aligned with each of the 64 hidden Markov models built based on the 64Arabidopsis thalianaTF families. ...
The first part is done using classical image processing techniques and the second part relies on a deep learning based multi-label classification model for symptom classification. The algorithm has been tested over two species: Glycine max (soybean) and Amaranthus retroflexus (redroot amaranth). An ...
511 cultivated and wild soybeans.cHaplotype validation using a biparental population derived from a cross between PI 594774 and PI 587880A.dVirulence profiles ofRppsources, highlighting the distinct profiles ofRpp1-bandRpp1sources. Disease classification adapted from Yamanaka et al. [45]: IF: ...
The goal of this study was to promptly map the extent of corn and soybeans early in the growing season. A classification experiment was conducted for the US Corn Belt and neighboring states, which is the most important production area of corn and soybean
all de novo OTUs were removed prior to analysis. Tables were categorized and generated based on level 3 of functional pathway classification at the pathway level in the KEGG database [67]. PICRUST tables were visualized and tested for statistical significance using STAMP v 2.1.3 [68].pvalues ...
Compared with relatively common tasks (ImageNet classification [35] and COCO detection [36]), the need of annotated data for specialized tasks in agricultural applications is even more pronounced [21, 37, 38]. Although many techniques aiming to decrease the cost of expert labeling cost (such ...
the Gini Importance indicates how often a variable is selected for a given split across all trees and the magnitude of its discriminative value (decrease in node impurity) for the classification problem52,53. The ‘Gini Importance’ for each seed component was retrieved using the function ‘import...