PIS-Net: Efficient weakly supervised instance segmentation network based on annotated points for rice field weed identification-Reference-Cited by-同舟云学术

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PIS-Net: Efficient weakly supervised instance segmentation network based on annotated points for rice field weed identification

Published:2024-12 Issue: Volume:9 Page:100557
ISSN:2772-3755
Container-title:Smart Agricultural Technology
language:en
Short-container-title:Smart Agricultural Technology

Author:

Chen Hao,Zhang Youliu,He Caijie,Chen Chuting,Zhang Yaoxuan,Chen Zhiying,Jiang Yu,Lin Caixia,Ma Ruijun,Qi Long^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference32 articles.

1. Weed research status, challenges, and opportunities in China;Zhu;Crop. Prot.,2020

2. Deepweeds: a multiclass weed species image dataset for deep learning;Olsen;Sci. Rep.,2019

3. Intelligent versus non-intelligent mechanical intra-row weed control in transplanted onion and cabbage;Melander;Crop. Prot.,2015

4. Innovation in mechanical weed control in crop rows;Van Der Weide;Weed. Res.,2008

5. Benefits of mechanical weeding for weed control, rice growth characteristics and yield in paddy fields;Liu;Field Crops Res.,2023

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