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Weed Detection and Segmentation Using Deep Learning
Edité par
LAP LAMBERT Academic Publishing Okt 2023, 2023
ISBN 10 : 620679198X
ISBN 13 : 9786206791980
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the recent times, where the automation systems has gained the highest priority to digitalize the world, the field of agriculture plays a major role in the growth of Indian economy. Weed plant detection and segmentation is a new research problem in the field of agriculture. In this paper we present a weed segmentation module. Weed classification module needs image processing task to be performed in order to detect the existence neural network to process the image and various classifiers such as random forest, Decision tree, SVM are used to classify the image the segmentation module makes use of U-Net architecture and Dense CRF is used for post processing in order to make boundaries of object more clear. The performance of the classifiers are measured using standard evaluation metrics. 72 pp. Englisch. N° de réf. du vendeur 9786206791980
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Weed Detection and Segmentation Using Deep Learning : WDS using DL
Edité par
LAP LAMBERT Academic Publishing, 2023
ISBN 10 : 620679198X
ISBN 13 : 9786206791980
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the recent times, where the automation systems has gained the highest priority to digitalize the world, the field of agriculture plays a major role in the growth of Indian economy. Weed plant detection and segmentation is a new research problem in the field of agriculture. In this paper we present a weed segmentation module. Weed classification module needs image processing task to be performed in order to detect the existence neural network to process the image and various classifiers such as random forest, Decision tree, SVM are used to classify the image the segmentation module makes use of U-Net architecture and Dense CRF is used for post processing in order to make boundaries of object more clear. The performance of the classifiers are measured using standard evaluation metrics. N° de réf. du vendeur 9786206791980
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Weed Detection and Segmentation Using Deep Learning
Edité par
LAP Lambert Academic Publishing, 2023
ISBN 10 : 620679198X
ISBN 13 : 9786206791980
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In the recent times, where the automation systems has gained the highest priority to digitalize the world, the field of agriculture plays a major role in the growth of Indian economy. Weed plant detection and segmentation is a new research problem in the fi. N° de réf. du vendeur 1246999674
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Weed Detection and Segmentation Using Deep Learning
Edité par
LAP LAMBERT Academic Publishing Okt 2023, 2023
ISBN 10 : 620679198X
ISBN 13 : 9786206791980
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the recent times, where the automation systems has gained the highest priority to digitalize the world, the field of agriculture plays a major role in the growth of Indian economy. Weed plant detection and segmentation is a new research problem in the field of agriculture. In this paper we present a weed segmentation module. Weed classification module needs image processing task to be performed in order to detect the existence neural network to process the image and various classifiers such as random forest, Decision tree, SVM are used to classify the image the segmentation module makes use of U-Net architecture and Dense CRF is used for post processing in order to make boundaries of object more clear. The performance of the classifiers are measured using standard evaluation metrics.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. N° de réf. du vendeur 9786206791980
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