Discrete-time signal processing (2nd ed.)
Discrete-time signal processing (2nd ed.)
Computers and Electronics in Agriculture
Extracting poultry behaviour from time-series weigh scale records
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture
Call recognition to identify cow conditions-A call-recogniser translating calls to text
Computers and Electronics in Agriculture
Original papers: Real-time recognition of sick pig cough sounds
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture
Monitoring of swarming sounds in bee hives for early detection of the swarming period
Computers and Electronics in Agriculture
Eggshell crack detection using a wavelet-based support vector machine
Computers and Electronics in Agriculture
Hi-index | 0.00 |
The objective of this paper is to develop an algorithm that could be used in order to reduce the spread of chicken hatching in industrial incubators for chicken eggs. The approach that is used is based on frequency analysis of sounds recorded inside the industrial incubator and aims at identifying the time at which all the eggs inside the incubator have reached the internal pipping stage. The developed algorithm is able to be calibrated automatically in order to adjust for sounds around the incubator and the acoustics of every incubator. The algorithm has been implemented in a Digital Signal Processor and applied in real-time in an industrial environment. It is shown that the algorithm can correctly identify the time at which 93-98% of the eggs have had been in the internal pipping stage. This level of accuracy is considered adequate for a practical application focusing on reduction of the hatching window.