FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4380080302> ?p ?o ?g. }

• W4380080302 endingPage "3017" @default.
• W4380080302 startingPage "3017" @default.
• W4380080302 abstract "Mapping smallholder irrigated agriculture in sub-Saharan Africa using remote sensing techniques is challenging due to its small and scattered areas and heterogenous cropping practices. A study was conducted to examine the impact of sample size and composition on the accuracy of classifying irrigated agriculture in Mozambique’s Manica and Gaza provinces using three algorithms: random forest (RF), support vector machine (SVM), and artificial neural network (ANN). Four scenarios were considered, and the results showed that smaller datasets can achieve high and sufficient accuracies, regardless of their composition. However, the user and producer accuracies of irrigated agriculture do increase when the algorithms are trained with larger datasets. The study also found that the composition of the training data is important, with too few or too many samples of the “irrigated agriculture” class decreasing overall accuracy. The algorithms’ robustness depends on the training data’s composition, with RF and SVM showing less decrease and spread in accuracies than ANN. The study concludes that the training data size and composition are more important for classification than the algorithms used. RF and SVM are more suitable for the task as they are more robust or less sensitive to outliers than the ANN. Overall, the study provides valuable insights into mapping smallholder irrigated agriculture in sub-Saharan Africa using remote sensing techniques." @default.
• W4380080302 created "2023-06-10" @default.
• W4380080302 creator A5025063222 @default.
• W4380080302 creator A5067021982 @default.
• W4380080302 date "2023-06-09" @default.
• W4380080302 modified "2023-09-26" @default.
• W4380080302 title "Evaluating the Effect of Training Data Size and Composition on the Accuracy of Smallholder Irrigated Agriculture Mapping in Mozambique Using Remote Sensing and Machine Learning Algorithms" @default.
• W4380080302 cites W1565635109 @default.
• W4380080302 cites W1831050183 @default.
• W4380080302 cites W1994231119 @default.
• W4380080302 cites W1998979050 @default.
• W4380080302 cites W2004206930 @default.
• W4380080302 cites W2011500029 @default.
• W4380080302 cites W2087556827 @default.
• W4380080302 cites W2109006150 @default.
• W4380080302 cites W2539651710 @default.
• W4380080302 cites W2550726539 @default.
• W4380080302 cites W2773188111 @default.
• W4380080302 cites W2776146695 @default.
• W4380080302 cites W2782794599 @default.
• W4380080302 cites W2793927960 @default.
• W4380080302 cites W2889759488 @default.
• W4380080302 cites W2900744481 @default.
• W4380080302 cites W2953011380 @default.
• W4380080302 cites W2994992990 @default.
• W4380080302 cites W3012668426 @default.
• W4380080302 cites W3013040422 @default.
• W4380080302 cites W3023149787 @default.
• W4380080302 cites W3023713374 @default.
• W4380080302 cites W3037944168 @default.
• W4380080302 cites W3043490760 @default.
• W4380080302 cites W3119404649 @default.
• W4380080302 cites W3126087996 @default.
• W4380080302 cites W3150079479 @default.
• W4380080302 cites W3209340886 @default.
• W4380080302 cites W4224930399 @default.
• W4380080302 doi "https://doi.org/10.3390/rs15123017" @default.
• W4380080302 hasPublicationYear "2023" @default.
• W4380080302 type Work @default.
• W4380080302 citedByCount "1" @default.
• W4380080302 countsByYear W43800803022023 @default.
• W4380080302 crossrefType "journal-article" @default.
• W4380080302 hasAuthorship W4380080302A5025063222 @default.
• W4380080302 hasAuthorship W4380080302A5067021982 @default.
• W4380080302 hasBestOaLocation W43800803021 @default.
• W4380080302 hasConcept C104317684 @default.
• W4380080302 hasConcept C11413529 @default.
• W4380080302 hasConcept C118518473 @default.
• W4380080302 hasConcept C119857082 @default.
• W4380080302 hasConcept C12267149 @default.
• W4380080302 hasConcept C124101348 @default.
• W4380080302 hasConcept C13558536 @default.
• W4380080302 hasConcept C138885662 @default.
• W4380080302 hasConcept C154945302 @default.
• W4380080302 hasConcept C166957645 @default.
• W4380080302 hasConcept C169258074 @default.
• W4380080302 hasConcept C185592680 @default.
• W4380080302 hasConcept C205649164 @default.
• W4380080302 hasConcept C40231798 @default.
• W4380080302 hasConcept C41008148 @default.
• W4380080302 hasConcept C41895202 @default.
• W4380080302 hasConcept C50644808 @default.
• W4380080302 hasConcept C55493867 @default.
• W4380080302 hasConcept C62649853 @default.
• W4380080302 hasConcept C63479239 @default.
• W4380080302 hasConcept C79337645 @default.
• W4380080302 hasConceptScore W4380080302C104317684 @default.
• W4380080302 hasConceptScore W4380080302C11413529 @default.
• W4380080302 hasConceptScore W4380080302C118518473 @default.
• W4380080302 hasConceptScore W4380080302C119857082 @default.
• W4380080302 hasConceptScore W4380080302C12267149 @default.
• W4380080302 hasConceptScore W4380080302C124101348 @default.
• W4380080302 hasConceptScore W4380080302C13558536 @default.
• W4380080302 hasConceptScore W4380080302C138885662 @default.
• W4380080302 hasConceptScore W4380080302C154945302 @default.
• W4380080302 hasConceptScore W4380080302C166957645 @default.
• W4380080302 hasConceptScore W4380080302C169258074 @default.
• W4380080302 hasConceptScore W4380080302C185592680 @default.
• W4380080302 hasConceptScore W4380080302C205649164 @default.
• W4380080302 hasConceptScore W4380080302C40231798 @default.
• W4380080302 hasConceptScore W4380080302C41008148 @default.
• W4380080302 hasConceptScore W4380080302C41895202 @default.
• W4380080302 hasConceptScore W4380080302C50644808 @default.
• W4380080302 hasConceptScore W4380080302C55493867 @default.
• W4380080302 hasConceptScore W4380080302C62649853 @default.
• W4380080302 hasConceptScore W4380080302C63479239 @default.
• W4380080302 hasConceptScore W4380080302C79337645 @default.
• W4380080302 hasFunder F4320319949 @default.
• W4380080302 hasIssue "12" @default.
• W4380080302 hasLocation W43800803021 @default.
• W4380080302 hasOpenAccess W4380080302 @default.
• W4380080302 hasPrimaryLocation W43800803021 @default.
• W4380080302 hasRelatedWork W1996541855 @default.
• W4380080302 hasRelatedWork W2985924212 @default.
• W4380080302 hasRelatedWork W3195168932 @default.
• W4380080302 hasRelatedWork W3195610867 @default.
• W4380080302 hasRelatedWork W4308191010 @default.
• W4380080302 hasRelatedWork W4321636153 @default.

• next