Potential for automatic weed detection and selective herbicide application-Reference-Cited by-同舟云学术

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Potential for automatic weed detection and selective herbicide application

Published:1991-08 Issue:4 Volume:10 Page:254-259
ISSN:0261-2194
Container-title:Crop Protection
language:en
Short-container-title:Crop Protection

Author:

Thompson J.F.,Stafford J.V.,Miller P.C.H.

Publisher

Elsevier BV

Subject

Agronomy and Crop Science

Reference23 articles.

1. ADAS Gross Margin Booklet — Cereals;ADAS,1989

2. Herbicide Application Control using GIS Weed Maps. American Society of Agricultural Engineers Paper 90-1061;Brown,1990

3. Aerial photography for the assessment of crop condition: a review;Curran;Appl. Geog.,1985

4. Economics of crop protection in Europe with reference to weed control;Dent,1989

5. Introdyction to the Physics and Techniques of Remote Sensing;Elachi,1987

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1. Field-based multispecies weed and crop detection using ground robots and advanced YOLO models: A data and model-centric approach;Smart Agricultural Technology;2024-12

2. Real-time lettuce-weed localization and weed severity classification based on lightweight YOLO convolutional neural networks for intelligent intra-row weed control;Computers and Electronics in Agriculture;2024-11

3. Multi-Species Weed and Crop Classification Comparison Using Five Different Deep Learning Network Architectures;Journal of the ASABE;2024

4. Investigating image-based fallow weed detection performance on Raphanus sativus and Avena sativa at speeds up to 30 km h−1;Computers and Electronics in Agriculture;2023-12

5. Weed Detection Using Deep Learning: A Systematic Literature Review;Sensors;2023-03-31

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