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Longshen Liu

Nanjing Agricultural University · CN
Area of research
Small Animals · Animal Science and Zoology
Research interest
Research interests include Artificial intelligence, Computer science, Pattern recognition (psychology), Broiler, Animal science, and Computer vision.
h-index
citations
635
works
26
NIH funding
primary concept
email

Recent publications

Detection and analysis of sow nursing behavior based on the number and location of piglets outside the suckling area using YOLOv5s
Computers and Electronics in Agriculture 2025cited by 6position: middledoi
PKL-Track: A Keypoint-Optimized approach for piglet tracking and activity measurement
Computers and Electronics in Agriculture 2025cited by 4position: middledoi
Evaluation of piglet suckling competition index based on YOLOv10 and optical flow direction distribution features
Biosystems Engineering 2025cited by 3position: middledoi
Decoding laying hen behavior and physiological status through acoustic biomarkers: temporal patterns, rooster-hen vocalization identification in group housing and environmental adaptation
Poultry Science 2025cited by 2position: middledoi
Changes in Core Temperature of Cyan-Shank Partridge Chickens Exposed to Continuously Increased Ambient Temperature at Different Relative Humidity Levels
Animals 2025cited by 1position: middledoi
Improved YOLOv8 Model for Lightweight Pigeon Egg Detection
Animals 2024cited by 20position: middledoi
Estimation of Weight and Body Measurement Model for Pigs Based on Back Point Cloud Data
Animals 2024cited by 16position: lastdoi
A Novel Behavior Detection Method for Sows and Piglets during Lactation Based on an Inspection Robot
Computers and Electronics in Agriculture 2024cited by 12position: middledoi
Three‐dimensional mapping and immersive human–robot interfacing utilize Kinect‐style depth cameras and virtual reality for agricultural mobile robots
Journal of Field Robotics 2024cited by 7position: middledoi
Using channel pruning–based YOLOv5 deep learning algorithm for accurately counting fish fry in real time
Aquaculture International 2024cited by 4position: middledoi
Sow Farrowing Early Warning and Supervision for Embedded Board Implementations
Sensors 2023cited by 11position: middledoi
CAT-CBAM-Net: An Automatic Scoring Method for Sow Body Condition Based on CNN and Transformer
Sensors 2023cited by 4position: lastdoi
Activity detection of suckling piglets based on motion area analysis using frame differences in combination with convolution neural network
Computers and Electronics in Agriculture 2022cited by 26position: lastdoi
Visual detection on posture transformation characteristics of sows in late gestation based on Libra R-CNN
Biosystems Engineering 2022cited by 22position: firstdoi
Social density detection for suckling piglets based on convolutional neural network combined with local outlier factor algorithm
Computers and Electronics in Agriculture 2022cited by 14position: middledoi
The estimation of broiler respiration rate based on the semantic segmentation and video amplification
Frontiers in Physics 2022cited by 9position: middledoi
Light from heat lamps affects sow behaviour and piglet salivary melatonin levels
animal 2022cited by 9position: middledoi
Effects of heat stress on posture transitions and reproductive performance of primiparous sows during late gestation
Journal of Thermal Biology 2021cited by 17position: firstdoi
A Novel Method for Broiler Abnormal Sound Detection Using WMFCC and HMM
Journal of Sensors 2020cited by 43position: firstdoi
A machine vision system for early detection and prediction of sick birds: A broiler chicken model
Biosystems Engineering 2019cited by 149position: middledoi
Recognition and Classification of Broiler Droppings Based on Deep Convolutional Neural Network
Journal of Sensors 2019cited by 68position: middledoi
Group-housed pig detection in video surveillance of overhead views using multi-feature template matching
Biosystems Engineering 2019cited by 27position: middledoi
An automatic ear base temperature extraction method for top view piglet thermal image
Computers and Electronics in Agriculture 2018cited by 40position: middledoi
Design and test of a low-power acceleration sensor with Bluetooth Low Energy on ear tags for sow behaviour monitoring
Biosystems Engineering 2018cited by 28position: firstdoi
From hyperspectral imaging to multispectral imaging: Portability and stability of HIS-MIS algorithms for common defect detection
Postharvest Biology and Technology 2017cited by 62position: middledoi
An automatic splitting method for the adhesive piglets’ gray scale image based on the ellipse shape feature
Computers and Electronics in Agriculture 2015cited by 31position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Mingxia Shen · Nanjing Agricultural University16 papers (2015–2025)Mingzhou Lu · Nanjing Agricultural University7 papers (2015–2022)Qian Ding · Allen Institute for Brain Science5 papers (2022–2025)Ruqian Zhao · Nanjing Agricultural University4 papers (2018–2025)Jinxin Chen · Fudan University4 papers (2023–2025)Cedric Okinda · Nanjing Agricultural University4 papers (2018–2022)Jie Zhou · Beijing Tongren Hospital3 papers (2022–2024)Wen Yao · Nanjing Agricultural University3 papers (2018–2025)Mingxia Shen · Nanjing Agricultural University3 papers (2018–2022)L. L. Liu · Nanjing Agricultural University3 papers (2024–2025)Meng Tai · Nanjing Agricultural University2 papers (2021–2022)Jia Chen · Jiangsu University2 papers (2022–2022)Kang Liu · Palo Alto University2 papers (2022–2022)Bo Li · Nanjing Agricultural University2 papers (2019–2020)Hongxiang Xue · Fudan University2 papers (2023–2024)Yingjun Xiong · Nanjing Agricultural University2 papers (2015–2024)Wen Yao · Nanjing Agricultural University1 papers (2022–2022)Yuqiang Wu · Nanjing Agricultural University1 papers (2024–2024)Xiangze Lin · Nanjing Agricultural University1 papers (2015–2015)Haonan Tian · Nanjing Agricultural University1 papers (2023–2023)