Results 21 to 30 of about 8,471,988 (352)
Advances in the Applications of Deep Learning Technology for Livestock Smart Farming
智慧农业, 2023 Accurate and efficient monitoring of animal information, timely analysis of animal physiological and physical health conditions, and automatic feeding and farming management combined with intelligent technologies are of great significance for large-scale
GUO Yangyang +3 more
doaj +1 more source
Faster R-CNN-LSTM Construction Site Unsafe Behavior Recognition Model
Applied Sciences, 2023 Aiming at the problem of insufficient accuracy caused by the insufficient mining of spatiotemporal features in the process of unsafe behavior and danger identification of construction personnel, the traditional two-stream convolution model is improved ...
Xu Li +4 more
semanticscholar +1 more source
Recognition of unsafe behaviors of underground personnel based on multi modal feature fusion
Gong-kuang zidonghua, 2023 The use of artificial intelligence technology for real-time recognition of underground personnel's behavior is of great significance for ensuring safe production in mines.
WANG Yu +3 more
doaj +1 more source
Fish feeding behavior recognition via lightweight two stage network and satiety experiments. [PDF]
Sci RepZhao S +6 more
europepmc +3 more sources
Efficient Aggressive Behavior Recognition of Pigs Based on Temporal Shift Module
Animals, 2023 Simple Summary Aggressive behavior can cause severe harm to pigs, especially in poor housing conditions, leading to disease and even death, which causes significant losses for the pig farm.
Hengyi Ji +5 more
semanticscholar +1 more source
Identity recognition and plant behavior [PDF]
Plant Signaling & Behavior, 2010 The ability to distinguish self from non-self allows organisms to protect themselves against attackers. Sagebrush plants use volatile cues emitted by clipped neighbors to adjust their defenses against herbivores. Recently, we reported that cues from genetically identical 'self' clones were more effective at reducing damage than were cues from 'non-self'
Richard, Karban, Kaori, Shiojiri
openaire +2 more sources
Machine Vision and Applications, 2023 Multi-object pose estimation in surveillance scenes is challenging and inaccurate due to object motion blur and pose occlusion in video data. Targeting at the temporal dependence and coherence among video frames, this paper reconstructs a multi-object ...
Jiaji Liu +3 more
semanticscholar +1 more source
IEEE Access, 2022 The trajectory prediction of surrounding vehicles is the basis for reasonable decision-making of autonomous vehicles (AV), which is helpful for improving their safety and comfort.
Yuan-Yuan Ren +3 more
doaj +1 more source
TSML: A New Pig Behavior Recognition Method Based on Two-Stream Mutual Learning Network
Italian National Conference on Sensors, 2023 Changes in pig behavior are crucial information in the livestock breeding process, and automatic pig behavior recognition is a vital method for improving pig welfare.
Wangli Hao +6 more
semanticscholar +1 more source
The Research Progress of Vision-Based Artificial Intelligence in Smart Pig Farming
Sensors, 2022 Pork accounts for an important proportion of livestock products. For pig farming, a lot of manpower, material resources and time are required to monitor pig health and welfare.
Shunli Wang +5 more
doaj +1 more source