Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Gunel Ismayilova is active.

Publication


Featured researches published by Gunel Ismayilova.


Animal Production Science | 2014

Image-processing technique to measure pig activity in response to climatic variation in a pig barn

Annamaria Costa; Gunel Ismayilova; Federica Borgonovo; Stefano Viazzi; Daniel Berckmans; Marcella Guarino

In the past decades, the increasing scale of intensive pig farms led farmers to use automatic tools to monitor the welfare and health of their animals. Visual observation and manual monitoring, usually practiced in small-scale farms, is unreliable in large-scale husbandry, and is expensive and time consuming. Environmental parameters are crucial information for the efficient management of piggery buildings, as they have a significant effect on production efficiency, health and welfare of confined animals. The aim of the present study was to evaluate the relationship between pig activity and environmental parameters in a pig building by means of image analysis. The barn for 350 fattening pigs was open-space, mechanically ventilated and subdivided into 16 pens with fully slatted floor. The room was equipped to monitor the ventilation rate, internal and external temperature and relative humidity every minute. For the experiments, two adjacent pens were selected, each 5.9 by 2.6 m, with ~16 pigs in each. Pigs were continuously monitored during 30 days using an infrared-sensitive CCD camera that was mounted 5 m above the floor. Recorded data were processed in real time by Eyenamic, an innovative software that continuously and automatically registers the behaviour of a group of animals, intended as the activity and occupation indices of the pigs. A preliminary virtual subdivision of the two pens in four zones (two zones for each pen) was performed to evaluate differences in activity/occupation indices in ‘front’ and ‘back’ zones of the pen. Recorded images were visually observed in the laboratory to estimate pig activity type in relation to the indices calculated by Eyenamic software. The occupation index showed higher values (up to 0.75 units) in Zones 1 and 4 placed near the corridor. There was a significant relation between pig occupation index measured in the two pens and ventilation rate, temperature and humidity. The interaction between ventilation and humidity and temperature and humidity significantly affected pig movements during the day. Pigs tended to stay in the part of the pen far from the external wall, where air velocity was higher, probably because this is a ‘central zone’ in the barn, characterised by a reasonable air movement (~0.30 m/s). On the contrary, the part of the pen nearest to the external wall, characterised by a humid floor surface and by a limited air speed, was occupied by animals at the trough mainly during feeding times and for defecation and urination.


Annals of Animal Science | 2013

LabeLLing the behaviour of pigLets and activity monitoring from video as a tooL of assessing interest in different environmentaL enrichments

Gunel Ismayilova; Annamaria Costa; Ilaria Fontana; Daniel Berckmans; Marcella Guarino

Abstract The aim of this study was to explore the preference and the duration of interest of weaned pigs to two different types of environmental enrichments using labelling techniques and activity monitoring. Two pens each housing 14 Dalland piglets were monitored using a video camera. The videos were labelled during the weaning phase from 30 to 60 days of age. During this time, the video recording software continuously calculated the activity index of the pigs. To detect pig exploratory and playing behaviour, a wooden block and chain enrichment were introduced into each pen for 30 days. Each video frame was manually labelled during the Day 1, 5 and 30 (24 hours a day) for each pen using the Labelling Tool software. To identify the duration and frequency of interactive episodes with environmental enrichments, pig behaviour was labelled as either: no activity, interacting with chain or interacting with the wooden block. The mean duration of interactive episodes for the chain was greater than for the wooden block (P<0.001), while the frequency of interactive episodes was 28.8% higher for the wooden block than for the chain. By day 5, the mean duration of interaction episodes decreased in both pens and by day 30, only a few interaction episodes were observed. The number of interactive episodes were strictly related to the activity index and depended on the time of the day. The peaks of the mean number of interactive episodes calculated for all days of observations corresponded to the peaks of the mean activity index. Streszczenie Celem badań było sprawdzenie preferencji oraz czasu trwania zainteresowania prosiąt odsadzonych dwoma typami elementów wzbogacających środowisko kojca. Użyto do tego technik analizy obrazu oraz monitoringu aktywności zwierząt. Dwa kojce z 14 prosiętami rasy Dalland (24 prosięta) w wieku od 30 do 60 dni były monitorowane za pomocą kamery. Indeks aktywności prosiąt został obliczony podczas rejestracji nagrań wideo przez oprogramowanie do automatycznego pomiaru aktywności zwierząt. W kojcu został umieszczony na 30 dni drewniany pieniek oraz łańcuch w celu wykrycia zachowań eksploracyjnych i zabawy. Każda klatka zarejestrowanego filmu wideo została przeanalizowana w 1., 5. oraz 30. dniu (24 godziny na dzień) eksperymentu za pomocą oprogramowania do analizy obrazu. W celu zidentyfikowania czasu trwania i częstotliwości interakcji z elementami wzbogacającymi środowisko kojca zachowanie zwierząt zostało oznaczone jako brak aktywności, interakcja z łańcuchem lub interakcja z drewnianym pieńkiem. Zainteresowanie łańcuchem średnio było dłuższe (P<0.001) niż drewnianym pieńkiem. Częstotliwość zabawy drewnianym pieńkiem była 28.8% wyższa niż łańcuchem. Średni czas interakcji z elementami wzbogacającymi środowisko kojca uległ skróceniu w piątym dniu eksperymentu, w obu kojcach. W trzydziestym dniu eksperymentu zauważono ich tylko kilka. Liczba interakcji z elementami wzbogacającymi środowisko kojca była ściśle powiązana z wartością indeksu aktywności zarejestrowanym przez oprogramowanie i zależała od pory dnia. W każdym dniu prowadzonej obserwacji wzrost średniej liczby interakcji odpowiadał wzrostowi średniej wartości indeksu aktywności.


Berliner Und Munchener Tierarztliche Wochenschrift | 2013

How do pigs behave before starting an aggressive interaction? Identification of typical body positions in the early stage of aggression using video labelling techniques.

Gunel Ismayilova; Maciej Oczak; Annamaria Costa; Lilia Thays Sonoda; Stefano Viazzi; Michaela Fels; Erik Vranken; Jeorg Hartung; Claudia Bahr; Daniel Berckmans; Marcella Guarino

The aim of this study was to identify, quantify, and describe pre-signs of aggression in pigs and the early stages of aggressive interactions. The experiment was carried out at a commercial farm on a group of 11 male pigs weighing on average 23 kg and kept in a pen of4 m x 2.5 m. In total 8 hours were videorecorded during the first 3 days after mixing. As a result, 177 aggressive interactions were identified and labelled to find pre-sign body positions before aggressive interactions, attack positions and aggressive acts performed from these positions. A total of 12 positions were classified as pre-signs (P1-P12) and 7 of them were identified immediately at the start of aggressive interactions (P6-P12). Most common pre-sign positions were P3-pigs approaching and facing each other (24%) and P2-initiator pigs approaching from the lateral side (18%). In 80% of the cases the duration of pre-signs was 1-2 sec 72% of all aggressive interactions were short (1 to 10 sec). The most frequent attack positions were P12-inverse parallel (39.5%), P7-nose to nose, 90 degrees (19.77%) and P9-nose to head (13.5%). The most frequent aggressive acts from attack positions were head knocking (34.4%), pressing (34.4%) and biting of different body parts (29.4%). Head knocking was mostly observed in relation to P7 and P2 positions and biting was common in the P7 position. In conclusion, pigs adopt specific pre-signs and body positions before the escalation of aggressive interactions. This could be used as potential sign to identify a beginning aggression.


International Scholarly Research Notices | 2013

Cognitive Enrichment in Piglet Rearing: An Approach to Enhance Animal Welfare and to Reduce Aggressive Behaviour

Lilia Thays Sonoda; Michaela Fels; Sally Rauterberg; Stefano Viazzi; Gunel Ismayilova; Maciej Oczak; Claudia Bahr; Marcella Guarino; Erik Vranken; Daniel Berckmans; Jörg Hartung

It is known that pigs raised in enriched environments express less aggressive behaviour. For this reason, a new method of cognitive environmental enrichment was experimented at the University of Veterinary Medicine Hannover, Germany. In the first phase, 78 suckling piglets were trained to learn the link between a sound given by an electronic feeder and a feed reward in the form of chocolate candies during a period of 8 days. In the second phase, the same piglets were used in resident-intruder tests to verify the potential of the feeding system to interrupt aggressive behaviour. The analysis of all training rounds revealed that piglets learned the commands during 8 days of training and the interest of the piglets increased within training days (P < 0.05). In the resident-intruder test, 79.5% of aggressive interactions were broken by feeder activation. In interactions where either the aggressor or the receiver reacted, a high number of fights were stopped (96.7% versus 93.1%) indicating that it was not relevant if the aggressor or the receiver responded to the feeder activation. We conclude that the electronic feeding system has the potential to be used as cognitive enrichment for piglets, being suitable for reducing aggressive behaviour in resident-intruder situations.


Animal Production Science | 2014

Acoustic-reward learning as a method to reduce the incidence of aggressive and abnormal behaviours among newly mixed piglets

Gunel Ismayilova; Lilia Thays Sonoda; Michaela Fels; Riccardo Rizzi; Majeck Oczak; Stefano Viazzi; Erik Vranken; Joerg Hartung; Daniel Berckmans; Marcella Guarino

The aim of the study was to test whether aggressive actions among piglets could be redirected by an automatically generated sound signal followed by a sweet food reward. Per round, four litters of 25-day-old piglets (BHZP breed) were trained 5 times per day over 8 days to expect a sweet feed reward from a dog feeder after hearing a specific sound. In total 144 piglets in 14 entire litters were trained in five trials. At the end of the training 71% of the piglets were around the feeder 5 s after the feeder sound. After the training period, the piglets were weaned and mixed in two pens, 12 piglets per pen. During 2 days (3 h/day) after mixing two observers (one per pen) hidden behind a wooden wall activated the feeder when aggressive or abnormal behaviour started. A total of 616 aggressive events and 31 incidences of abnormal behaviour (ear biting) were used for the analysis. The logistic regression showed that the type of behaviour had a significant effect on the piglets’ response to the feeder sound (P < 0.001). The results showed the possibility of interruption of the aggressive behaviours such as head thrust [odds ratio (OR) = 0.43], jump on other (OR = 0.56) or attack with bite (OR = 0.61). Ear biting was very unlikely to continue (OR = 0.55). The risk of continuing elevated aggression level behaviours was doubled in the event of chasing (OR = 2.16) and the risk that fight would continue after the feeder sound was released was 7 times higher (OR = 7.89). Categorical analysis showed a significant effect (<0.001) of the time intervals t ≤ 1 s and 1 s < t ≤ 3 s on interruption of aggression by the feeder sound release. The piglets’ response to the feeder sound differed significantly between the experimental days (P < 0.001). On the second day of mixing, the feeder sound interrupted 74.9% of aggressive events, compared with 33.7% on the first day. The results suggest that acoustic-reward treatment can distract pigs from performing certain aggressive behaviours and ear biting in piglets when properly applied in time.


Computers and Electronics in Agriculture | 2014

Image feature extraction for classification of aggressive interactions among pigs

Stefano Viazzi; Gunel Ismayilova; Maciej Oczak; Lilia Thays Sonoda; Michaela Fels; Marcella Guarino; Erik Vranken; Jörg Hartung; Claudia Bahr; D. Berckmans


Biosystems Engineering | 2014

Classification of aggressive behaviour in pigs by activity index and multilayer feed forward neural network

Maciej Oczak; Stefano Viazzi; Gunel Ismayilova; Lilia Thays Sonoda; Nancy Roulston; Michaela Fels; Claudia Bahr; Joerg Hartung; Marcella Guarino; Daniel Berckmans; Erik Vranken


Computers and Electronics in Agriculture | 2013

Analysis of aggressive behaviours of pigs by automatic video recordings

Maciej Oczak; Gunel Ismayilova; Annamaria Costa; Stefano Viazzi; Lilia Thays Sonoda; Michaela Fels; Claudia Bahr; Joerg Hartung; Marcella Guarino; Daniel Berckmans; Erik Vranken


Berliner Und Munchener Tierarztliche Wochenschrift | 2013

Tail biting in pigs--causes and management intervention strategies to reduce the behavioural disorder. A review.

Lilia Thays Sonoda; Michaela Fels; Maciej Oczak; E. Vranken; Gunel Ismayilova; Marcella Guarino; Stefano Viazzi; Claudia Bahr; D. Berckmans; Joerg Hartung


Acta Veterinaria Brno | 2013

The use of image analysis as a new approach to assess behaviour classification in a pig barn

Annamaria Costa; Gunel Ismayilova; Federica Borgonovo; Toon Leroy; Daniel Berckmans; Marcella Guarino

Collaboration


Dive into the Gunel Ismayilova's collaboration.

Top Co-Authors

Avatar

Stefano Viazzi

Katholieke Universiteit Leuven

View shared research outputs
Top Co-Authors

Avatar

Maciej Oczak

Katholieke Universiteit Leuven

View shared research outputs
Top Co-Authors

Avatar

Marcella Guarino

Indian Agricultural Research Institute

View shared research outputs
Top Co-Authors

Avatar

Daniel Berckmans

Catholic University of Leuven

View shared research outputs
Top Co-Authors

Avatar

Erik Vranken

Katholieke Universiteit Leuven

View shared research outputs
Top Co-Authors

Avatar

Claudia Bahr

Katholieke Universiteit Leuven

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

D. Berckmans

Katholieke Universiteit Leuven

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Anna Costa

Katholieke Universiteit Leuven

View shared research outputs
Researchain Logo
Decentralizing Knowledge