Deep Learning and Object Detection Practices in Agriculture: New Approaches in Agricultural Engineering - Couverture souple

Ersoy, Sezgin; G�ll�, Aydın; Ozturk, Nazmiye

9786204752624: Deep Learning and Object Detection Practices in Agriculture: New Approaches in Agricultural Engineering

Couverture souple

ISBN 10 : 6204752626 ISBN 13 : 9786204752624

Editeur : LAP LAMBERT Academic Publishing, 2022

Afficher les exemplaires de cette �dition comportant l?ISBN

0 D'occasion

7 Neuf

De EUR 35,62

All countries agree on the need to find solutions to the problems in agriculture field and to determine the future of agriculture. The importance of artificial intelligence in agriculture is emphasized and encouraged due to issues such as climate changes, population growth, use of resources, and food security. Artificial intelligence applications are used to support advanced agricultural production, while providing opportunities for more efficient production. Artificial intelligence, which replaces human power in production, paves the way for the development of new technologies that can cultivate, sow, irrigate, harvest, analyze soil and plant status. It is thought that artificial intelligence technologies, which affect every institution in the sector from small producers to large enterprises, will gain a large place in the agricultural sector in the medium term. It is possible to divide artificial intelligence applications into groups in agriculture. These are in the form of agricultural robots, soil and crop monitoring, analytical forecasting. Applications that bring the future to today in production activities have shown that data collection is of primary importance.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteurLAP LAMBERT Academic Publishing
Date d'�dition2022
ISBN 10 6204752626
ISBN 13 9786204752624
ReliureBroch�
Langueanglais
Nombre de pages64
Coordonn�es du fabricantnon disponible

Acheter neuf

Afficher cet article

EUR 35,62

Autre devise

EUR 9,70 exp�dition depuis Allemagne vers France

Destinations, frais et d�lais

Ajouter au panier

R�sultats de recherche pour Deep Learning and Object Detection Practices in Agriculture:...

Image fournie par le vendeur

Deep Learning and Object Detection Practices in Agriculture

Sezgin Ersoy|Aydin G�ll�|Nazmiye Ozturk

Edit� par LAP LAMBERT Academic Publishing, 2022

ISBN 10 : 6204752626 ISBN 13 : 9786204752624

Neuf Couverture souple

impression � la demande

Vendeur : moluna, Greven, Allemagne

�valuation du vendeur 4 sur 5 �toiles

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ersoy SezginSezgin Ersoy is a Professor of Mechatronics Engineering and Material Science. After graduating from Marmara University, he became a faculty member at the same university. His publications include a variety of efforts to u. N� de r�f. du vendeur 607863003

Contacter le vendeur

Acheter neuf

EUR 35,62

Autre devise

Frais de port : EUR 9,70

De Allemagne vers France

Destinations, frais et d�lais

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image fournie par le vendeur

Deep Learning and Object Detection Practices in Agriculture

Sezgin Ersoy

Edit� par LAP LAMBERT Academic Publishing Mai 2022, 2022

ISBN 10 : 6204752626 ISBN 13 : 9786204752624

Neuf Taschenbuch

impression � la demande

Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -All countries agree on the need to find solutions to the problems in agriculture field and to determine the future of agriculture. The importance of artificial intelligence in agriculture is emphasized and encouraged due to issues such as climate changes, population growth, use of resources, and food security. Artificial intelligence applications are used to support advanced agricultural production, while providing opportunities for more efficient production. Artificial intelligence, which replaces human power in production, paves the way for the development of new technologies that can cultivate, sow, irrigate, harvest, analyze soil and plant status. It is thought that artificial intelligence technologies, which affect every institution in the sector from small producers to large enterprises, will gain a large place in the agricultural sector in the medium term. It is possible to divide artificial intelligence applications into groups in agriculture. These are in the form of agricultural robots, soil and crop monitoring, analytical forecasting. Applications that bring the future to today in production activities have shown that data collection is of primary importance. 64 pp. Englisch. N� de r�f. du vendeur 9786204752624

Contacter le vendeur

Acheter neuf

EUR 43,90

Autre devise

Frais de port : EUR 11

De Allemagne vers France

Destinations, frais et d�lais

Quantit� disponible : 2 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Deep Learning and Object Detection Practices in Agriculture : New Approaches in Agricultural Engineering

Sezgin Ersoy

Edit� par LAP LAMBERT Academic Publishing, 2022

ISBN 10 : 6204752626 ISBN 13 : 9786204752624

Neuf Taschenbuch

impression � la demande

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - All countries agree on the need to find solutions to the problems in agriculture field and to determine the future of agriculture. The importance of artificial intelligence in agriculture is emphasized and encouraged due to issues such as climate changes, population growth, use of resources, and food security. Artificial intelligence applications are used to support advanced agricultural production, while providing opportunities for more efficient production. Artificial intelligence, which replaces human power in production, paves the way for the development of new technologies that can cultivate, sow, irrigate, harvest, analyze soil and plant status. It is thought that artificial intelligence technologies, which affect every institution in the sector from small producers to large enterprises, will gain a large place in the agricultural sector in the medium term. It is possible to divide artificial intelligence applications into groups in agriculture. These are in the form of agricultural robots, soil and crop monitoring, analytical forecasting. Applications that bring the future to today in production activities have shown that data collection is of primary importance. N� de r�f. du vendeur 9786204752624

Contacter le vendeur

Acheter neuf

EUR 44,59

Autre devise

Frais de port : EUR 10,99

De Allemagne vers France

Destinations, frais et d�lais

Quantit� disponible : 1 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Deep Learning and Object Detection Practices in Agriculture

Sezgin Ersoy

Edit� par LAP LAMBERT Academic Publishing Mai 2022, 2022

ISBN 10 : 6204752626 ISBN 13 : 9786204752624

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. Neuware -All countries agree on the need to find solutions to the problems in agriculture field and to determine the future of agriculture. The importance of artificial intelligence in agriculture is emphasized and encouraged due to issues such as climate changes, population growth, use of resources, and food security. Artificial intelligence applications are used to support advanced agricultural production, while providing opportunities for more efficient production. Artificial intelligence, which replaces human power in production, paves the way for the development of new technologies that can cultivate, sow, irrigate, harvest, analyze soil and plant status. It is thought that artificial intelligence technologies, which affect every institution in the sector from small producers to large enterprises, will gain a large place in the agricultural sector in the medium term. It is possible to divide artificial intelligence applications into groups in agriculture. These are in the form of agricultural robots, soil and crop monitoring, analytical forecasting. Applications that bring the future to today in production activities have shown that data collection is of primary importance.Books on Demand GmbH, �berseering 33, 22297 Hamburg 64 pp. Englisch. N� de r�f. du vendeur 9786204752624

Contacter le vendeur