Monitoring the damage of armyworm as a pest in summer corn by unmanned aerial vehicle imaging-Reference-Cited by-同舟云学术

Monitoring the damage of armyworm as a pest in summer corn by unmanned aerial vehicle imaging

Published:2022-03-09 Issue:6 Volume:78 Page:2265-2276
ISSN:1526-498X
Container-title:Pest Management Science
language:en
Short-container-title:Pest Management Science

Author:

Tao Wancheng¹²^ORCID,Wang Xinsheng¹²,Xue Jing‐Hao³,Su Wei¹²,Zhang Mingzheng¹²,Yin Dongqin¹²,Zhu Dehai¹²,Xie Zixuan¹²,Zhang Ying¹²

Affiliation:

1. College of Land Science and Technology China Agricultural University Beijing China

2. Key Laboratory of Remote Sensing for Agri‐Hazards Ministry of Agriculture Beijing China

3. Department of Statistical Science University College London London UK

Funder

China Agricultural University

National Natural Science Foundation of China

Publisher

Wiley

Subject

Insect Science,Agronomy and Crop Science,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ps.6852

Reference42 articles.

1. Sustainable Management of Rice Insect Pests by Non-Chemical-Insecticide Technologies in China

2. Increase in crop losses to insect pests in a warming climate

3. Selection for resistance, life history traits and the biochemical mechanism of resistance to thiamethoxam in the maize armyworm, Mythimna separata (Lepidoptera: Noctuidae)

4. Melaleuca in Florida: a literature review on the taxonomy, distribution, biology, ecology, economic importance and control measures;Serbesoff‐King K;J Aquat Plant Manage,2003

5. Characteristic of corn diseases and Pest in 2012 and cause analysis;Liu J;Chin Agricult Sci Bull,2014

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Monitoring the leaf damage by the rice leafroller with deep learning and ultra‐light UAV;Pest Management Science;2024-09-12

2. Recent Development Trends in Plant Protection UAVs: A Journey from Conventional Practices to Cutting-Edge Technologies—A Comprehensive Review;Drones;2024-09-03

3. Enhancing Crop Yield Predictions with PEnsemble 4: IoT and ML-Driven for Precision Agriculture;Applied Sciences;2024-04-15

4. Prediction of Thrips Damage Distribution in Mango Orchards Using a Novel Maximum Likelihood Classifier;Agronomy;2024-04-11

5. Recent Advances in Crop Disease Detection Using UAV and Deep Learning Techniques;Remote Sensing;2023-05-06