FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3116078901> ?p ?o ?g. }

• W3116078901 endingPage "4143" @default.
• W3116078901 startingPage "4143" @default.
• W3116078901 abstract "The most efficient way of soybean (Glycine max (L.) Merrill) iron deficiency chlorosis (IDC) management is to select a tolerant cultivar suitable for the specific growing condition. These cultivars are selected by field experts based on IDC visual ratings. However, this visual rating method is laborious, expensive, time-consuming, subjective, and impractical on larger scales. Therefore, a modern digital image-based method using tree-based machine learning classifier models for rating soybean IDC at plot-scale was developed. Data were collected from soybean IDC cultivar trial plots. Images were processed with MATLAB and corrected for light intensity by using a standard color board in the image. The three machine learning models used in this study were decision tree (DT), random forest (RF), and adaptive boosting (AdaBoost). Calculated indices from images, such as dark green color index (DGCI), canopy size, and pixel counts into DGCI ranges and IDC visual scoring were used as input and target variables to train these models. Metrics such as precision, recall, and f1-score were used to assess the performance of the classifier models. Among all three models, AdaBoost had the best performance (average f1-score = 0.75) followed by RF and DT the least. Therefore, a ready-to-use methodology of image processing with AdaBoost model for soybean IDC rating was recommended. The developed method can be easily adapted to smartphone applications or scaled-up using images from aerial platforms." @default.
• W3116078901 created "2021-01-05" @default.
• W3116078901 creator A5009017682 @default.
• W3116078901 creator A5017894280 @default.
• W3116078901 creator A5062392537 @default.
• W3116078901 creator A5068992719 @default.
• W3116078901 date "2020-12-18" @default.
• W3116078901 modified "2023-10-15" @default.
• W3116078901 title "Rating Iron Deficiency in Soybean Using Image Processing and Decision-Tree Based Models" @default.
• W3116078901 cites W1964261730 @default.
• W3116078901 cites W1978354327 @default.
• W3116078901 cites W1998405819 @default.
• W3116078901 cites W2010762039 @default.
• W3116078901 cites W2036211748 @default.
• W3116078901 cites W2041555594 @default.
• W3116078901 cites W2055842041 @default.
• W3116078901 cites W2064636089 @default.
• W3116078901 cites W2068086367 @default.
• W3116078901 cites W2076691743 @default.
• W3116078901 cites W2085212623 @default.
• W3116078901 cites W2089249923 @default.
• W3116078901 cites W2105616747 @default.
• W3116078901 cites W2115374941 @default.
• W3116078901 cites W2148143831 @default.
• W3116078901 cites W2282115801 @default.
• W3116078901 cites W2462085679 @default.
• W3116078901 cites W2531338938 @default.
• W3116078901 cites W2604496315 @default.
• W3116078901 cites W2779931100 @default.
• W3116078901 cites W2781967587 @default.
• W3116078901 cites W2800649250 @default.
• W3116078901 cites W2809327976 @default.
• W3116078901 cites W2885770726 @default.
• W3116078901 cites W2900498021 @default.
• W3116078901 cites W2903703585 @default.
• W3116078901 cites W2950426112 @default.
• W3116078901 cites W2953636448 @default.
• W3116078901 cites W2955639914 @default.
• W3116078901 cites W2956251445 @default.
• W3116078901 cites W3028263306 @default.
• W3116078901 doi "https://doi.org/10.3390/rs12244143" @default.
• W3116078901 hasPublicationYear "2020" @default.
• W3116078901 type Work @default.
• W3116078901 sameAs 3116078901 @default.
• W3116078901 citedByCount "4" @default.
• W3116078901 countsByYear W31160789012021 @default.
• W3116078901 countsByYear W31160789012023 @default.
• W3116078901 crossrefType "journal-article" @default.
• W3116078901 hasAuthorship W3116078901A5009017682 @default.
• W3116078901 hasAuthorship W3116078901A5017894280 @default.
• W3116078901 hasAuthorship W3116078901A5062392537 @default.
• W3116078901 hasAuthorship W3116078901A5068992719 @default.
• W3116078901 hasBestOaLocation W31160789011 @default.
• W3116078901 hasConcept C115961682 @default.
• W3116078901 hasConcept C119857082 @default.
• W3116078901 hasConcept C141404830 @default.
• W3116078901 hasConcept C153180895 @default.
• W3116078901 hasConcept C154945302 @default.
• W3116078901 hasConcept C169258074 @default.
• W3116078901 hasConcept C33923547 @default.
• W3116078901 hasConcept C41008148 @default.
• W3116078901 hasConcept C46686674 @default.
• W3116078901 hasConcept C84525736 @default.
• W3116078901 hasConcept C9417928 @default.
• W3116078901 hasConcept C95623464 @default.
• W3116078901 hasConcept C97931131 @default.
• W3116078901 hasConceptScore W3116078901C115961682 @default.
• W3116078901 hasConceptScore W3116078901C119857082 @default.
• W3116078901 hasConceptScore W3116078901C141404830 @default.
• W3116078901 hasConceptScore W3116078901C153180895 @default.
• W3116078901 hasConceptScore W3116078901C154945302 @default.
• W3116078901 hasConceptScore W3116078901C169258074 @default.
• W3116078901 hasConceptScore W3116078901C33923547 @default.
• W3116078901 hasConceptScore W3116078901C41008148 @default.
• W3116078901 hasConceptScore W3116078901C46686674 @default.
• W3116078901 hasConceptScore W3116078901C84525736 @default.
• W3116078901 hasConceptScore W3116078901C9417928 @default.
• W3116078901 hasConceptScore W3116078901C95623464 @default.
• W3116078901 hasConceptScore W3116078901C97931131 @default.
• W3116078901 hasFunder F4320316802 @default.
• W3116078901 hasFunder F4320332299 @default.
• W3116078901 hasIssue "24" @default.
• W3116078901 hasLocation W31160789011 @default.
• W3116078901 hasOpenAccess W3116078901 @default.
• W3116078901 hasPrimaryLocation W31160789011 @default.
• W3116078901 hasRelatedWork W1502951582 @default.
• W3116078901 hasRelatedWork W1570592793 @default.
• W3116078901 hasRelatedWork W2141272333 @default.
• W3116078901 hasRelatedWork W2327035729 @default.
• W3116078901 hasRelatedWork W2348748958 @default.
• W3116078901 hasRelatedWork W2385341160 @default.
• W3116078901 hasRelatedWork W2385662756 @default.
• W3116078901 hasRelatedWork W2884325279 @default.
• W3116078901 hasRelatedWork W2892390236 @default.
• W3116078901 hasRelatedWork W2585372724 @default.
• W3116078901 hasVolume "12" @default.
• W3116078901 isParatext "false" @default.
• W3116078901 isRetracted "false" @default.

• next