Reference : Cloud Services Integration For Farm Animals’ Behavior Studies Based On Smartphones As...
Scientific journals : Article
Engineering, computing & technology : Computer science
Cloud Services Integration For Farm Animals’ Behavior Studies Based On Smartphones As Activity Sensors
Debauche, Olivier mailto [Université de Liège - ULiège > > > Doct. sc. agro. & ingé. biol. (Paysage)]
Mahmoudi, Saïd mailto [Université de Mons - UMONS > Faculté polytechnique > Service d'informatique > Professeur >]
Andriamandroso, Andriamasinoro Lalaina Herinaina []
Manneback, Pierre mailto [Université de Mons - UMONS > Faculté polytechnique > Service d'informatique > Professeur >]
Bindelle, Jérôme mailto [Université de Liège - ULiège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Ingénierie des productions animales et nutrition >]
Lebeau, Frédéric mailto [Université de Liège - ULiège > Ingénierie des biosystèmes (Biose) > Biosystems Dynamics and Exchanges >]
Journal of Ambient Intelligence and Humanized Computing
Yes (verified by ORBi)
[en] animals' behavior ; smart agriculture ; IMU ; iPhone ; lambda architecture ; precision livestock farmin
[en] Smartphones, particularly iPhone, can be relevant instruments for researchers in animal behavior because they are readily available on the planet, contain many sensors and require no hardware development. They are equipped with high performance Inertial Measurement Units (IMU) and absolute positioning systems analyzing users’ movements, but they can easily be diverted to analyze likewise the behaviors of domestic animals such as cattle. The study of animal behavior using smartphones requires the storage of many high frequency variables from a large number of individuals and their processing through various relevant variables combinations for modeling and decision-making. Transferring, storing, treating and sharing such an amount of data is a big challenge. In this paper, a lambda cloud architecture innovatively coupled to a scientific sharing platform used to archive, and process high-frequency data are proposed to integrate future developments of the Internet of Things applied to the monitoring of domestic animals. An application to the study of cattle behavior on pasture based on the data recorded with the IMU of iPhone 4s is exemplified. Performances comparison between iPhone 4s and iPhone 5s is also achieved. The package comes also with a web interface to encode the actual behavior observed on videos and to synchronize observations with the sensor signals. Finally, the use of Edge computing on the iPhone reduced by 43.5% on average the size of the raw data by eliminating redundancies. The limitation of the number of digits on individual variable can reduce data redundancy up to 98.5%.
Researchers ; Professionals ; Students

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