Deep learning based weed detection and target spraying robot system at seedling stage of cotton field
Author:
Publisher
Elsevier BV
Subject
Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry
Reference37 articles.
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1. Development and evaluation of a machine vision and deep learning-based smart sprayer system for site-specific weed management in row crops: An edge computing approach;Journal of Agriculture and Food Research;2024-12
2. YOLO-WDNet: A lightweight and accurate model for weeds detection in cotton field;Computers and Electronics in Agriculture;2024-10
3. YOLOv8-ECFS: A lightweight model for weed species detection in soybean fields;Crop Protection;2024-10
4. Recent Advances in Agricultural Robots for Automated Weeding;AgriEngineering;2024-09-11
5. Weed detection using deep learning in complex and highly occluded potato field environment;Crop Protection;2024-09
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