Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 620673868X ISBN 13: 9786206738688
Idioma: Inglés
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 49,19
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New.
Publicado por LAP LAMBERT Academic Publishing Jul 2023, 2023
ISBN 10: 620673868X ISBN 13: 9786206738688
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 43,90
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch.
Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 620673868X ISBN 13: 9786206738688
Idioma: Inglés
Librería: Majestic Books, Hounslow, Reino Unido
EUR 50,84
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. Print on Demand.
Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 620673868X ISBN 13: 9786206738688
Idioma: Inglés
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 52,22
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. PRINT ON DEMAND.
Publicado por LAP LAMBERT Academic Publishing Jul 2023, 2023
ISBN 10: 620673868X ISBN 13: 9786206738688
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 43,90
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: 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.
Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 620673868X ISBN 13: 9786206738688
Idioma: Inglés
Librería: moluna, Greven, Alemania
EUR 35,62
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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.
Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 620673868X ISBN 13: 9786206738688
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 44,59
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: 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.