Animal welfare assessment through smartphone applications. Challenges and opportunities Elisabetta Canali Department of Veterinary Medicine

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Animal welfare assessment through smartphone applications. Challenges and opportunities Elisabetta Canali Department of Veterinary Medicine University of Milan, Itally

Animal welfare.an animal as being in good animal welfare if it is healthy, comfortable, well nourished, safe, able to express innate behaviour, and... is not suffering from unpleasant states such as pain, fear, and distress (OIE, 2008). The welfare of an animal is linked to : the emotional state the biological functioning the environment

Animal welfare Welfare analysis is multidimensional including health, physiology and behaviour and involves the assessment of many welfare indicators. Develop a toolbox of animal based measures

Animal welfare assessment From resources indicators to animal-based measures

Animal welfare assessment

FP7-KBBE-2010-4 program: 2011-2015: Animal Welfare Indicators (AWIN) Development, integration and dissemination of animal-based welfare indicators, including pain, in commerciallyimportant husbandry species, with special emphasis on small ruminants, equidae and turkeys Duration: 4 years (started in May 2011) 11 partners 5 complementary Work Packages (WP) Coordinator Professor Adroaldo Zanella

Specific aims of WP1 To develop and test animal-based welfare, including pain, indicators and protocols in: sheep, goats, horses, donkeys and turkeys To assess the practical on-farm feasibility of the welfare assessment protocols To present welfare assessment protocols to stakeholders Coordinator Professor Elisabetta Canali

Animal welfare assessment challenges due to: - new indicators - new technologies and instruments sound and feasible protocols

Animal welfare assessment - differences in species attitudes and husbandry

Identification of suitable indicators Following the 4 principles and 12 criteria set up in WQ Absence of prolonged hunger Absence of prolonged thirst Good feeding Good housing Comfort around resting Thermal comfort Ease of movement Expression of social behaviours Expression of other behaviours Good human-animal relationship Positive emotional state Good behaviour Good health Absence of injuries Absence of disease Absence of pain induced by management procedures

AWIN new approach: stepwise strategy assessment First level of welfare assessment Group assessment for sheep and goats Sample size for horses and donkey

AWIN new approach: stepwise strategy assessment Second levels of welfare assessment : in-depth assessment Valid and reliable indicators More comprehensive assessment Feasible in a given time Detailed individual assessment

AWIN new approach: immediate outcome The aim of the output is: to give a visual feedback on the welfare of the animals on the farm; to highlight positive conditions; to enable comparison with a reference population.

From the AWIN protocols to applications

Why develop an application? permit to collect, aggregate and analyse data faster and error-free avoid problems linked with data collection using paper sheets

Why develop an application? creation of a virtual server to collect and aggregate data automatic dispatch to the server

Why an app to assess animal welfare at farm level? Create an immediate visual output dialogue with farmers on the welfare of their animals and the actions needed to improve it.

How does it work? Data collection of animal-based indicators visual output, bar chart

Future challenges reference population more geographically representative data collection must be undertaken on a larger scale and be more widely distributed

Future challenges Specific training on how to assess and score the welfare indicators Digital education

Future challenges Server to store and analyze the welfare data in a harmonized way

Future challenges On line training Harmonize the collection of data in different countries Store and analyze welfare data enforce animal welfare policies

Thanks to: AWIN WP1 members Minero M. 1, Mattiello S. 1, Barbieri S. 1., Ferrante V. 1, Estevez I. 2, Ruiz R. 2, Dwyer C. 3, Stilwell G. 4, Dalla Costa E. 1, Battini M. 1, Dai F. 1, Zanella A. 5 1 Department of Veterinary Medicine, University of Milan, Milano, Italy 2 Neiker-Tecnalia, Arkaute Agrifood Campus, Animal Production, Vitoria-Gasteiz, Spain 3 SRUC, Scotland s Rural College, Edinburgh, UK 4 Faculdade de Medicina Veterinária,Universidade de Lisboa, Portugal 5 Department of Preventive Veterinary Medicine and Animal Health School of Veterinary Medicine and Animal Science, University of São Paulo Pirassununga, Brasil

Thank you Elisabetta Canali DVM, Professor Department of Veterinary Medicine,University of Milan