Matches in SemOpenAlex for { <https://semopenalex.org/work/W4362733441> ?p ?o ?g. }
- W4362733441 endingPage "1595" @default.
- W4362733441 startingPage "1595" @default.
- W4362733441 abstract "Rice lodging seriously affects rice quality and production. Traditional manual methods of detecting rice lodging are labour-intensive and can result in delayed action, leading to production loss. With the development of the Internet of Things (IoT), unmanned aerial vehicles (UAVs) provide imminent assistance for crop stress monitoring. In this paper, we proposed a novel lightweight detection system with UAVs for rice lodging. We leverage UAVs to acquire the distribution of rice growth, and then our proposed global attention network (GloAN) utilizes the acquisition to detect the lodging areas efficiently and accurately. Our methods aim to accelerate the processing of diagnosis and reduce production loss caused by lodging. The experimental results show that our GloAN can lead to a significant increase in accuracy with negligible computational costs. We further tested the generalization ability of our GloAN and the results show that the GloAN generalizes well in peers’ models (Xception, VGG, ResNet, and MobileNetV2) with knowledge distillation and obtains the optimal mean intersection over union (mIoU) of 92.85%. The experimental results show the flexibility of GloAN in rice lodging detection." @default.
- W4362733441 created "2023-04-10" @default.
- W4362733441 creator A5006355683 @default.
- W4362733441 creator A5032764121 @default.
- W4362733441 creator A5034962236 @default.
- W4362733441 creator A5069212056 @default.
- W4362733441 creator A5071218431 @default.
- W4362733441 creator A5086965735 @default.
- W4362733441 date "2023-04-10" @default.
- W4362733441 modified "2023-09-23" @default.
- W4362733441 title "Lightweight Detection System with Global Attention Network (GloAN) for Rice Lodging" @default.
- W4362733441 cites W1861492603 @default.
- W4362733441 cites W1901129140 @default.
- W4362733441 cites W1903029394 @default.
- W4362733441 cites W2011588860 @default.
- W4362733441 cites W2022277343 @default.
- W4362733441 cites W2068278818 @default.
- W4362733441 cites W2092566243 @default.
- W4362733441 cites W2098957580 @default.
- W4362733441 cites W2117539524 @default.
- W4362733441 cites W2122710056 @default.
- W4362733441 cites W2144794286 @default.
- W4362733441 cites W2194775991 @default.
- W4362733441 cites W2331577512 @default.
- W4362733441 cites W2412782625 @default.
- W4362733441 cites W2531409750 @default.
- W4362733441 cites W2549139847 @default.
- W4362733441 cites W2752782242 @default.
- W4362733441 cites W2791160863 @default.
- W4362733441 cites W2798791651 @default.
- W4362733441 cites W2884585870 @default.
- W4362733441 cites W2919115771 @default.
- W4362733441 cites W2919781516 @default.
- W4362733441 cites W2922509574 @default.
- W4362733441 cites W2955058313 @default.
- W4362733441 cites W2963163009 @default.
- W4362733441 cites W2963495494 @default.
- W4362733441 cites W2963881378 @default.
- W4362733441 cites W2963992613 @default.
- W4362733441 cites W2964309882 @default.
- W4362733441 cites W2968911939 @default.
- W4362733441 cites W2971419816 @default.
- W4362733441 cites W3005863531 @default.
- W4362733441 cites W3007597990 @default.
- W4362733441 cites W3009017987 @default.
- W4362733441 cites W3035046117 @default.
- W4362733441 cites W3093009991 @default.
- W4362733441 cites W3093647646 @default.
- W4362733441 cites W3094775289 @default.
- W4362733441 cites W3131500599 @default.
- W4362733441 cites W3138516171 @default.
- W4362733441 cites W3209876422 @default.
- W4362733441 cites W4214524539 @default.
- W4362733441 cites W4255421341 @default.
- W4362733441 cites W4285149115 @default.
- W4362733441 doi "https://doi.org/10.3390/plants12081595" @default.
- W4362733441 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37111819" @default.
- W4362733441 hasPublicationYear "2023" @default.
- W4362733441 type Work @default.
- W4362733441 citedByCount "1" @default.
- W4362733441 countsByYear W43627334412023 @default.
- W4362733441 crossrefType "journal-article" @default.
- W4362733441 hasAuthorship W4362733441A5006355683 @default.
- W4362733441 hasAuthorship W4362733441A5032764121 @default.
- W4362733441 hasAuthorship W4362733441A5034962236 @default.
- W4362733441 hasAuthorship W4362733441A5069212056 @default.
- W4362733441 hasAuthorship W4362733441A5071218431 @default.
- W4362733441 hasAuthorship W4362733441A5086965735 @default.
- W4362733441 hasBestOaLocation W43627334411 @default.
- W4362733441 hasConcept C105795698 @default.
- W4362733441 hasConcept C127413603 @default.
- W4362733441 hasConcept C139719470 @default.
- W4362733441 hasConcept C153083717 @default.
- W4362733441 hasConcept C154945302 @default.
- W4362733441 hasConcept C162324750 @default.
- W4362733441 hasConcept C2778348673 @default.
- W4362733441 hasConcept C2780598303 @default.
- W4362733441 hasConcept C33923547 @default.
- W4362733441 hasConcept C41008148 @default.
- W4362733441 hasConcept C48044578 @default.
- W4362733441 hasConcept C77088390 @default.
- W4362733441 hasConcept C88463610 @default.
- W4362733441 hasConceptScore W4362733441C105795698 @default.
- W4362733441 hasConceptScore W4362733441C127413603 @default.
- W4362733441 hasConceptScore W4362733441C139719470 @default.
- W4362733441 hasConceptScore W4362733441C153083717 @default.
- W4362733441 hasConceptScore W4362733441C154945302 @default.
- W4362733441 hasConceptScore W4362733441C162324750 @default.
- W4362733441 hasConceptScore W4362733441C2778348673 @default.
- W4362733441 hasConceptScore W4362733441C2780598303 @default.
- W4362733441 hasConceptScore W4362733441C33923547 @default.
- W4362733441 hasConceptScore W4362733441C41008148 @default.
- W4362733441 hasConceptScore W4362733441C48044578 @default.
- W4362733441 hasConceptScore W4362733441C77088390 @default.
- W4362733441 hasConceptScore W4362733441C88463610 @default.
- W4362733441 hasIssue "8" @default.
- W4362733441 hasLocation W43627334411 @default.
- W4362733441 hasLocation W43627334412 @default.