养殖鱼类摄食行为的特征提取研究与应用进展(6)
[43]任华,蓝泽桥,王一明,等.循环水养殖系统中放养密度对杂交鲟仔鱼摄食行为、生长和存活的影响[J].渔业现代化,2013,40(2):12-16.
[44]张建明,郭柏福,高勇.中华鲟幼鱼对慢性拥挤胁迫的生长、摄食及行为反应[J].中国水产科学,2013,20(3):592-598.
[45]骆桂兰,陈军,王会聪,等.计算机视觉技术在水产养殖中的应用[J].现代农业科技,2018(3):233-234.
[46]CLINE D E,EDGINGTON D R,MARIETTE J.An Automated Visual Event Detection System for Cabled Observatory Video[C]//OCEANS :IEEE,2007:1-5.
[47]ZION B,ALCHANATIS V,OSTROVSKY V,et underwater sorting of edible fish species[J].Computers and Electronics in Agriculture,2007,56(1):34-45.
[48]AGUZZI J,MNUEL A,CONDAL F,et al.The New Seafloor Observatory(OBSEA) for Remote and Long-Term Coastal Ecosystem Monitoring[J].Sensors,2011,11(6):5850-5872.
[49]CHA B J,BAE B S,CHO S K,et al.A simple method to quantify fish behavior by forming time-lapse images[J].Aquacultural Engineering,2012,51:15-20.
[50]STIEN L H,BRATLAND S,AUSTEVOLL I,et al.A video analysis procedure for assessing vertical fish distribution in aquaculture tanks[J].Aquacultural Engineering,2007,37(2):115-124.
[51]PETRELL R J,SHI X,WARD R K,et fish size and swimming speed in cages and tanks using simple video techniques[J].Aquacultural engineering,1997,16(1/2):63-84.
[52]LIU Z,LI X,FAN L,et feeding activity of fish in RAS using computer vision[J].Aquacultural Engineering,2014,60:20-27.
[53]赵建,朱松明,叶章颖,等.循环水养殖游泳型鱼类摄食活动强度评估方法研究[J].农业机械学报,2016,47(8):288-293.
[54]胡利永,魏玉艳,郑堤,等.基于机器视觉技术的智能投饵方法研究[J].热带海洋学报,2015(4):90-95.
[55]陈彩文,杜永贵,周超,等.基于支持向量机的鱼群摄食行为识别技术[J].江苏农业科学,2018,46(7):226-229.
[56]郭强,杨信廷,周超,等.基于形状与纹理特征的鱼类摄食状态检测方法[J].上海海洋大学学报,2018,27(2):181-189.
[57]HUNG C,TSAO S,HUANG K,et al.A highly sensitive underwater video system for use in turbid aquaculture ponds[J].Scientific Reports,2016,6(1):.
[58]FAROKHI S,FLUSSER J,SHEIKH U U.Near infrared face recognition:A literature survey[J].Computer Science Review,2016,21:1-17.
[59]ZHOU C,ZHANG B,LIN K,et imaging to quantify the feeding behavior of fish in aquaculture[J].Computers and Electronics in Agriculture,2017,135:233-241.
[60]ZHOU C,LIN K,XU D,et al.Near infrared computer vision and neuro-fuzzy model-based feeding decision system for fish in aquaculture[J].Computers and Electronics in Agriculture,2018,146:114-124.
[61]PAUTSINA A,CISP,STYS D,et reflection system for indoor 3D tracking of fish[J].Aquacultural Engineering,2015,69:7-17.
[62]衣雪娟,林建恒,孙军平,等.几种海洋鱼类的发声特征[C]//2019年全国声学大会论文集,深圳:2019年全国声学大会(声学技术),2019:117-118.
[63]SILVA J F,HAMILTON S,ROCHA J V,et characterization of feeding activity ofLitopenaeusvannameiin captivity[J].Aquaculture,2019,501:76-81.
[64]汤涛林,唐荣,刘世晶,等.罗非鱼声控投饵方法[J].渔业科学进展,2014,35(3):40-43.
[65]LAGARDRE J P,MALLEKH sounds of turbot(Scophthalmusmaximus) and their potential use in the control of food supply in aquaculture: analysis of the feeding sounds[J].Aquaculture,2000,189(3):251-258.
[66]LLORENS S,PéREZ-ARJONA I,SOLIVERES E,et and target strength measurements of uneaten feed pellets with a single beam echosounder[J].Aquacultural Engineering,2017,78:216-220.
[67]MOURSUND R A,CARLSON T J,PETERS R D.A fisheries application of a dual-frequency identification sonar acoustic camera[J].ICES Journal of Marine Science,2003,60(3):678-683.
[68]LECORNU L,BURDIN V,SCALABRIN C,et al.Fish school analysis from multibeam sonar image processing[C]//IEE Oceanic Engineering Society,OCEANS':Nice,1998:578-591.
[69]ZHANG H,WEI Q,KANG of swimming pattern and body length of cultured Chinese sturgeon by use of imaging sonar[J].Aquaculture,2014,434:184-187.
[70]PARAMO J,BERTRAND S,VILLALOBOS H,et al.A three-dimensional approach to school typology using vertical scanning multibeam sonar[J].Fisheries Research,2007,84(2):171-179.
[71]张重阳,陈明,冯国富,等.基于多特征融合与机器学习的鱼类摄食行为的检测[J].湖南农业大学学报(自然科学版),2019,45(1):97-102.
[72]郭燕子,丁翠环,李国良.水声信号监测系统设计与实现[J].舰船电子工程,2018,38(4):114-117.
[73]LI Y,WANG L.A novel noise reduction technique for underwater acoustic signals based on complete ensemble empirical mode decomposition with adaptive noise,minimum mean square variance criterion and least mean square adaptive filter[J].Defence Technology,2020,16(3):543-554.
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