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Synopsis
Weed management is important for increasing yield as well as it is one of the tedious operations in vegetable crop production. Because of labor costs, time and tedium, manual weeding is unfavorable. The introduction of the chemical methods of weed control has affected the growth of crops. An increasing demand for chemical-free food has led to the investigation of alternative methods of weed control.This project proposes the working of a system that distinguishes the normal crop and the weed crop. The mechanically weeding actuator consists of an integrated IOT components which is combined with the computer vision assisted system based on neural network algorithm for detecting the crop plant locations. The crop location is displayed in terms of latitude and longitude. This helps the farmer to detect the presence of weed (if any) along with the location.
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Unveiling the Green Web: IoT-Based Weed Detection and Monitoring
Edité par
LAP LAMBERT Academic Publishing, 2023
ISBN 10 : 620673868X
ISBN 13 : 9786206738688
Neuf
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Vendeur : Books Puddle, Woodside, NY, Etats-Unis
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Unveiling the Green Web: IoT-Based Weed Detection and Monitoring
Edité par
LAP LAMBERT Academic Publishing, 2023
ISBN 10 : 620673868X
ISBN 13 : 9786206738688
Neuf
Couverture souple
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Etat : New. Print on Demand. N° de réf. du vendeur 409768323
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Unveiling the Green Web: IoT-Based Weed Detection and Monitoring
Edité par
LAP LAMBERT Academic Publishing Jul 2023, 2023
ISBN 10 : 620673868X
ISBN 13 : 9786206738688
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Weed management is important for increasing yield as well as it is one of the tedious operations in vegetable crop production. Because of labor costs, time and tedium, manual weeding is unfavorable. The introduction of the chemical methods of weed control has affected the growth of crops. An increasing demand for chemical-free food has led to the investigation of alternative methods of weed control.This project proposes the working of a system that distinguishes the normal crop and the weed crop. The mechanically weeding actuator consists of an integrated IOT components which is combined with the computer vision assisted system based on neural network algorithm for detecting the crop plant locations. The crop location is displayed in terms of latitude and longitude. This helps the farmer to detect the presence of weed (if any) along with the location. 52 pp. Englisch. N° de réf. du vendeur 9786206738688
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Unveiling the Green Web: IoT-Based Weed Detection and Monitoring
Edité par
LAP LAMBERT Academic Publishing, 2023
ISBN 10 : 620673868X
ISBN 13 : 9786206738688
Neuf
Couverture souple
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Etat : New. PRINT ON DEMAND. N° de réf. du vendeur 18404434518
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Unveiling the Green Web: IoT-Based Weed Detection and Monitoring
Edité par
LAP LAMBERT Academic Publishing, 2023
ISBN 10 : 620673868X
ISBN 13 : 9786206738688
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Weed management is important for increasing yield as well as it is one of the tedious operations in vegetable crop production. Because of labor costs, time and tedium, manual weeding is unfavorable. The introduction of the chemical methods of weed control has affected the growth of crops. An increasing demand for chemical-free food has led to the investigation of alternative methods of weed control.This project proposes the working of a system that distinguishes the normal crop and the weed crop. The mechanically weeding actuator consists of an integrated IOT components which is combined with the computer vision assisted system based on neural network algorithm for detecting the crop plant locations. The crop location is displayed in terms of latitude and longitude. This helps the farmer to detect the presence of weed (if any) along with the location. N° de réf. du vendeur 9786206738688
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Unveiling the Green Web: IoT-Based Weed Detection and Monitoring
Edité par
LAP LAMBERT Academic Publishing, 2023
ISBN 10 : 620673868X
ISBN 13 : 9786206738688
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Cheedirala Sudharshan ReddySudharshan Reddy Chidirala: Respected academic and passionate educator with 14+ years teaching experience. Inspires students through innovative, inclusive teaching methods. Active in research and scholarly. N° de réf. du vendeur 940135980
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Unveiling the Green Web: IoT-Based Weed Detection and Monitoring
Edité par
LAP LAMBERT Academic Publishing Jul 2023, 2023
ISBN 10 : 620673868X
ISBN 13 : 9786206738688
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 -Weed management is important for increasing yield as well as it is one of the tedious operations in vegetable crop production. Because of labor costs, time and tedium, manual weeding is unfavorable. The introduction of the chemical methods of weed control has affected the growth of crops. An increasing demand for chemical-free food has led to the investigation of alternative methods of weed control.This project proposes the working of a system that distinguishes the normal crop and the weed crop. The mechanically weeding actuator consists of an integrated IOT components which is combined with the computer vision assisted system based on neural network algorithm for detecting the crop plant locations. The crop location is displayed in terms of latitude and longitude. This helps the farmer to detect the presence of weed (if any) along with the location.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. N° de réf. du vendeur 9786206738688
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