Rapid density estimation of tiny pests from sticky traps using Qpest RCNN in conjunction with UWB-UAV-based IoT framework
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-09230-4.pdf
Reference46 articles.
1. Shin YK, Kim SB, Kim D-SJJOA-PE (2020) Attraction characteristics of insect pests and natural enemies according to the vertical position of yellow sticky traps in a strawberry farm with high-raised bed cultivation. J Asia-Pacific Entomol 23(4):1062–1066
2. Pinto-Zevallos DM, Vänninen IJCP (2013) Yellow sticky traps for decision-making in whitefly management: what has been achieved? Crop Prot 47:74–84
3. Qiao M et al (2008) Density estimation of Bemisia tabaci (Hemiptera: Aleyrodidae) in a greenhouse using sticky traps in conjunction with an image processing system. J Asia-Pac Entomol 11(1):25–29
4. Hall DG, Sétamou M, Mizell RFJCP III (2010) A comparison of sticky traps for monitoring Asian citrus psyllid (Diaphorina citri Kuwayama). Elsevier 29(11):1341–1346
5. Rodríguez LAR, Castañeda-Miranda CL, Lució MM, Solís-Sánchez LO, Castañeda-Miranda RJM, Simulation CI (2021) Quarternion color image processing as an alternative to classical grayscale conversion approaches for pest detection using yellow sticky traps. Math Comput Simul 182:646–660
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