Multispectral Machine Vision Identification of Lettuce and Weed Seedlings for Automated Weed Control-Reference-Cited by-同舟云学术

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Multispectral Machine Vision Identification of Lettuce and Weed Seedlings for Automated Weed Control

Published:2008-04 Issue:2 Volume:22 Page:378-384
ISSN:0890-037X
Container-title:Weed Technology
language:en
Short-container-title:Weed Technology

Author:

Slaughter David C.,Giles D. Ken,Fennimore Steven A.,Smith Richard F.

Publisher

Cambridge University Press (CUP)

Subject

Plant Science,Agronomy and Crop Science

Reference24 articles.

1. Reduced Input of Herbicides by Use of Optoelectronic Sensors

2. Crop–weed Discrimination by Line Imaging Spectroscopy

3. Influence of weed maturity levels on species classification using machine vision

4. FACTORS AFFECTING COLOR-BASED WEED DETECTION

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1. Real-time control of high-resolution micro-jet sprayer integrated with machine vision for precision weed control;Biosystems Engineering;2023-04

2. Weed Science and Weed Management;Weed Science and Weed Management in Rice and Cereal‐Based Cropping Systems;2023-03-31

3. A Low-cost Embedded System Integrated with Computer Vision for an Electro-hydraulic Implement Guidance System;2023 9th International Conference on Electrical Engineering, Control and Robotics (EECR);2023-02-24

4. Artificial Intelligence Tools and Techniques to Combat Herbicide Resistant Weeds—A Review;Sustainability;2023-01-18

5. Artificial Intelligence for Plant Genomics and Crop Improvement;Egyptian Journal of Botany;2022-04-14

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