Unveiling the Green Web: IoT-Based Weed Detection and Monitoring

Sudharshan Reddy Cheedirala

ISBN 10: 620673868X / ISBN 13: 9786206738688

Published by LAP LAMBERT Academic Publishing Jul 2023, 2023

About this Item

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.

Seller Inventory # 9786206738688

Bibliographic Details

• Title: Unveiling the Green Web: IoT-Based Weed Detection and Monitoring
• Publisher: LAP LAMBERT Academic Publishing Jul 2023
• Publication Date: 2023
• Language: English
• ISBN 10: 620673868X
• ISBN 13: 9786206738688
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 96 grams

About this title

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.