Claudia Giannone
@distal.unibo.it
University of Bologna
Scopus Publications
- Monitoring horse behaviour with deep learning models
Claudia Giannone, Chiara Maccario, Emanuela Dalla Costa, Elie Atallah, Marco Bovo
Veterinary Quarterly, 2026 - Impact of the technology to monitor horse behaviour and health: a scoping review
Claudia Giannone, Elie Atallah, Emanuela Dalla Costa, Eleonora Benetti, Enrica Santolini, et al.
Journal of Equine Veterinary Science, 2025 - Automated dairy cow identification and feeding behaviour analysis using a computer vision model based on YOLOv8
Claudia Giannone, Mohsen Sahraeibelverdy, Martina Lamanna, Damiano Cavallini, Andrea Formigoni, et al.
Smart Agricultural Technology, 2025 - Artificial intelligence meets dairy cow research: Large language model's application in extracting daily time-activity budget data for a meta-analytical study
M. Lamanna, E. Muca, C. Giannone, M. Bovo, F. Boffo, et al.
Journal of Dairy Science, 2025 - Reducing life cycle environmental impacts of milk production through precision livestock farming
Daniela Lovarelli, Marco Bovo, Claudia Giannone, Enrica Santolini, Patrizia Tassinari, et al.
Sustainable Production and Consumption, 2024 - Real time identification of individual dairy cows through computer vision
11th European Conference on Precision Livestock Farming, 2024 - A link between PLF, animal welfare and LCA: the objectives of SUS3D project
11th European Conference on Precision Livestock Farming, 2024 - Review of the Heat Stress-Induced Responses in Dairy Cattle
Claudia Giannone, Marco Bovo, Mattia Ceccarelli, Daniele Torreggiani, Patrizia Tassinari
Animals, 2023
In the dairy cattle sector, the evaluation of the effects induced by heat stress is still one of the most impactful and investigated aspects as it is strongly connected to both sustainability of the production and animal welfare. On the other hand, more recently, the possibility of collecting a large dataset made available by the increasing technology diffusion is paving the way for the application of advanced numerical techniques based on machine learning or big data approaches. In this scenario, driven by rapid change, there could be the risk of dispersing the relevant information represented by the physiological animal component, which should maintain the central role in the development of numerical models and tools. In light of this, the present literature review aims to consolidate and synthesize existing research on the physiological consequences of heat stress in dairy cattle. The present review provides, in a single document, an overview, as complete as possible, of the heat stress-induced responses in dairy cattle with the intent of filling the existing research gap for extracting the veterinary knowledge present in the literature and make it available for future applications also in different research fields. - Dietary Grape Pomace Supplementation in Lambs Affects the Meat Fatty Acid Composition, Volatile Profiles and Oxidative Stability
Francesca Bennato, Camillo Martino, Andrea Ianni, Claudia Giannone, Giuseppe Martino
Foods, 2023
The aim of this study was to evaluate the effects of supplementing grape pomace (GP) in lambs’ diets. A total of 30 lambs homogeneous for body weight (13.1 ± 2.1 kg) and age (25–30 days) were randomly allocated into two groups. The control group (CTR) received a standard diet for 45 days, while in the same period the experimental group (GP+) was fed with a diet containing 10% GP on a dry matter (DM) basis. The meat samples from the two groups showed no significant differences in drip loss, cooking loss, meat color and total lipid amount. However, the experimental feeding strategy influenced the meat fatty acid composition, with an increase in the relative percentages of stearic, vaccenic and rumenic acids. In particular, the increase in rumenic acids is associated with several health benefits attributed to its high bioactive properties. In cooked meat samples stored for 5 days at 4 °C, the dietary GP supplementation induced an increase in nonanal and 1-octen-3-ol and a significant reduction of hexanal, an indicator of oxidation; this improved resistance to oxidation in the GP+ samples and was also confirmed by the thiobarbituric acid reactive species (TBARS) test. In summary, the present study showed that the dietary GP supplementation was effective in improving the fatty acid composition and the oxidative stability of lamb meat. The use and valorization of the GP as a matrix of interest for zootechnical nutrition can, therefore, represent a suitable strategy for improving the qualitative aspects of animal production. - Algorithms for the identification of yield anomalies in cattle dataset collected by automatic milking systems
Mattia Ceccarelli, Miki Agrusti, Claudia Giannone, Marco Bovo, Alberto Barbaresi, et al.
2023 IEEE International Workshop on Metrology for Agriculture and Forestry Metroagrifor 2023 Proceedings, 2023
Despite the growing interest in new animal housing, management strategies for reducing impacts, and collecting daily data, there is a lack of studies investigating factors that can lead to productive anomalies. On the other hand, the use of automatic milking robots, milking parlours, collars and pedometers allows for a precise monitoring of dairy cows, providing farmers with real time information. In this context, the early detection of production anomalies is fundamental for animal health and safety. In this work, two numerical methods for detecting daily milk production anomalies are presented and applied to three different farms selected as case studies. The methods described in this paper provide a numerical procedure having the scope of detecting milk yield anomalies. Both the algorithms presented hereinafter are based on statistical calculations and take as input daily resting time and daily milk yield recorded respectively by the pedometers worn by the cows and by the automatic milking system of the barns. The first method take into consideration two indicators, namely the Difference in Relative Production (DRP) and the Daily Rest time (DR). DRP is defined as the relative difference in daily milk yield between real-time data of a single animal and a baseline curve considered as an ideal trend. An anomaly (i.e. a deviation from the normal value) is determined, for a single cow, for a specific day, if two conditions on DRP and DR are contemporary verified. In the second method, starting from the Wood function, maybe the most famous model to fit the production of the cow in dependence of day in milk, the concept of reliability of robust statistics has been introduced in order to obtain, for each animal, a more solid and realistic lactation curve since not affected by outlier values. - Seasonal and Feeding System Effects on Qualitative Parameters of Bovine Milk Produced in the Abruzzo Region (Italy)
Marco Florio, Claudia Giannone, Andrea Ianni, Francesca Bennato, Lisa Grotta, et al.
Agriculture Switzerland, 2022
RECENT SCHOLAR PUBLICATIONS
- Monitoring horse behaviour with deep learning models
C Giannone, C Maccario, E Dalla Costa, E Atallah, M Bovo
Veterinary Quarterly 46 (1), 2665442 , 2026
2026 - Impact of the technology to monitor horse behaviour and health: a scoping review
C Giannone, E Atallah, E Dalla Costa, E Benetti, E Santolini, P Tassinari, ...
Journal of Equine Veterinary Science, 105734 , 2025
2025
Citations: 3 - Automated dairy cow identification and feeding behaviour analysis using a computer vision model based on YOLOv8
C Giannone, M Sahraeibelverdy, M Lamanna, D Cavallini, A Formigoni, ...
Smart Agricultural Technology, 101304 , 2025
2025
Citations: 27 - Artificial intelligence meets dairy cow research: Large language model's application in extracting daily time-activity budget data for a meta-analytical study
M Lamanna, E Muca, C Giannone, M Bovo, F Boffo, A Romanzin, ...
Journal of dairy science , 2025
2025
Citations: 24 - Meta-analytical study on feeding behavior and daily time budget management of dairy cows in free-stall housing using ChatGPT
M Lamanna, E Muca, C Giannone, M Bovo, A Romanzin, A Formigoni, ...
ITALIAN JOURNAL OF ANIMAL SCIENCE 24 (1), 142-142 , 2025
2025 - Using Solomon Coder for the ethological and feeding behaviour analysis of dairy cows in tie-stall housing: A practical guide
M Lamanna, C Giannone, M Bovo, G Bellisola, A Romanzin, D Cavallini
IEEE International Workshop on Measurements and Applications in Veterinary … , 2025
2025 - Exploitation of Renewable Sources for the Energy Needs of Farm Buildings: an Application in the Swine Sector
S Benni, C Giannone, CA Perez Garcia
BIOSYSTEMS ENGINEERING FOR THE GREEN TRANSITION, 159-159 , 2025
2025 - Analysis of dairy cow feeding behavior through computer vision
C Giannone, M Lamanna, D Cavallini, A Formigoni, P Tassinari, M Bovo
ASPA 26th Congress Book of Abstract, 261-261 , 2025
2025 - Using precision livestock farming to reduce the environmental impacts of cow milk production
C Giannone, D Lovarelli, M Bovo, E Santolini, M Guarino, D Torreggiani, ...
Book of Abstracts of the 76th Annual Meeting of the European Federation of … , 2025
2025 - Study of automated identification of dairy cows using computer vision and RFID technologies
C Giannone, M Bovo, CA Perez Garcia, D Cavallini, M Lamanna, ...
Book of Abstracts of the 76th Annual Meeting of the European Federation of … , 2025
2025 - Preliminary analyses on the identification of horse behaviors using deep learning techniques
C Giannone, E Dalla Costa, C Maccario, E Atallah, M Bovo
2025 Association for Science and Animal Production Congress , 2025
2025 - Recognition of horse behaviours using deep learning techniques
C Giannone, E Dalla Costa, C Maccario, E Atallah, M Bovo
2025 International Workshop on Measurements and Applications in Veterinary … , 2025
2025 - Reducing life cycle environmental impacts of milk production through precision livestock farming
D Lovarelli, M Bovo, C Giannone, E Santolini, P Tassinari, M Guarino
Sustainable Production and Consumption 51, 303-314 , 2024
2024
Citations: 30 - A link between PLF, animal welfare and LCA: the objectives of SUS3D project
MBM Bovo, C Capretti, M Chincarini, D Di Battista, C Giannone, L Lanzoni, ...
11th European Conference on Precision Livestock Farming-Conference … , 2024
2024 - Real time identification of individual dairy cows through computer vision
C Giannone, M Bovo, M Ceccarelli, S Benni, P Tassinari, D Torreggiani
11th European Conference on Precision Livestock Farming, 452-458 , 2024
2024
Citations: 1 - Preliminary results of environmental sustainability assessment of dairy farm equipped with PLF systems: a case study
C Giannone, M Bovo, E Santolini, D Torreggiani, P Tassinari
2024 International Workshop on Measurements and Applications in Veterinary … , 2024
2024 - Advancements and challenges in equine monitoring technologies
C Giannone, E Dalla Costa, M Bovo, D Torreggiani, P Tassinari
2024 International Workshop on Measurements and Applications in Veterinary … , 2024
2024
Citations: 1 - Review of the heat stress-induced responses in dairy cattle
C Giannone, M Bovo, M Ceccarelli, D Torreggiani, P Tassinari
Animals 13 (22), 3451 , 2023
2023
Citations: 117 - Algorithms for the identification of yield anomalies in cattle dataset collected by automatic milking systems
M Ceccarelli, M Agrusti, C Giannone, M Bovo, A Barbaresi, E Santolini, ...
2023 IEEE International Workshop on Metrology for Agriculture and Forestry … , 2023
2023 - Dietary grape pomace supplementation in lambs affects the meat fatty acid composition, volatile profiles and oxidative stability
F Bennato, C Martino, A Ianni, C Giannone, G Martino
Foods 12 (6), 1257 , 2023
2023
Citations: 15
MOST CITED SCHOLAR PUBLICATIONS
- Review of the heat stress-induced responses in dairy cattle
C Giannone, M Bovo, M Ceccarelli, D Torreggiani, P Tassinari
Animals 13 (22), 3451 , 2023
2023
Citations: 117 - Reducing life cycle environmental impacts of milk production through precision livestock farming
D Lovarelli, M Bovo, C Giannone, E Santolini, P Tassinari, M Guarino
Sustainable Production and Consumption 51, 303-314 , 2024
2024
Citations: 30 - Automated dairy cow identification and feeding behaviour analysis using a computer vision model based on YOLOv8
C Giannone, M Sahraeibelverdy, M Lamanna, D Cavallini, A Formigoni, ...
Smart Agricultural Technology, 101304 , 2025
2025
Citations: 27 - Artificial intelligence meets dairy cow research: Large language model's application in extracting daily time-activity budget data for a meta-analytical study
M Lamanna, E Muca, C Giannone, M Bovo, F Boffo, A Romanzin, ...
Journal of dairy science , 2025
2025
Citations: 24 - Dietary grape pomace supplementation in lambs affects the meat fatty acid composition, volatile profiles and oxidative stability
F Bennato, C Martino, A Ianni, C Giannone, G Martino
Foods 12 (6), 1257 , 2023
2023
Citations: 15 - Seasonal and feeding system effects on qualitative parameters of bovine milk produced in the Abruzzo region (Italy)
M Florio, C Giannone, A Ianni, F Bennato, L Grotta, G Martino
Agriculture 12 (7), 917 , 2022
2022
Citations: 14 - Impact of the technology to monitor horse behaviour and health: a scoping review
C Giannone, E Atallah, E Dalla Costa, E Benetti, E Santolini, P Tassinari, ...
Journal of Equine Veterinary Science, 105734 , 2025
2025
Citations: 3 - Real time identification of individual dairy cows through computer vision
C Giannone, M Bovo, M Ceccarelli, S Benni, P Tassinari, D Torreggiani
11th European Conference on Precision Livestock Farming, 452-458 , 2024
2024
Citations: 1 - Advancements and challenges in equine monitoring technologies
C Giannone, E Dalla Costa, M Bovo, D Torreggiani, P Tassinari
2024 International Workshop on Measurements and Applications in Veterinary … , 2024
2024
Citations: 1 - Monitoring horse behaviour with deep learning models
C Giannone, C Maccario, E Dalla Costa, E Atallah, M Bovo
Veterinary Quarterly 46 (1), 2665442 , 2026
2026 - Meta-analytical study on feeding behavior and daily time budget management of dairy cows in free-stall housing using ChatGPT
M Lamanna, E Muca, C Giannone, M Bovo, A Romanzin, A Formigoni, ...
ITALIAN JOURNAL OF ANIMAL SCIENCE 24 (1), 142-142 , 2025
2025 - Using Solomon Coder for the ethological and feeding behaviour analysis of dairy cows in tie-stall housing: A practical guide
M Lamanna, C Giannone, M Bovo, G Bellisola, A Romanzin, D Cavallini
IEEE International Workshop on Measurements and Applications in Veterinary … , 2025
2025 - Exploitation of Renewable Sources for the Energy Needs of Farm Buildings: an Application in the Swine Sector
S Benni, C Giannone, CA Perez Garcia
BIOSYSTEMS ENGINEERING FOR THE GREEN TRANSITION, 159-159 , 2025
2025 - Analysis of dairy cow feeding behavior through computer vision
C Giannone, M Lamanna, D Cavallini, A Formigoni, P Tassinari, M Bovo
ASPA 26th Congress Book of Abstract, 261-261 , 2025
2025 - Using precision livestock farming to reduce the environmental impacts of cow milk production
C Giannone, D Lovarelli, M Bovo, E Santolini, M Guarino, D Torreggiani, ...
Book of Abstracts of the 76th Annual Meeting of the European Federation of … , 2025
2025 - Study of automated identification of dairy cows using computer vision and RFID technologies
C Giannone, M Bovo, CA Perez Garcia, D Cavallini, M Lamanna, ...
Book of Abstracts of the 76th Annual Meeting of the European Federation of … , 2025
2025 - Preliminary analyses on the identification of horse behaviors using deep learning techniques
C Giannone, E Dalla Costa, C Maccario, E Atallah, M Bovo
2025 Association for Science and Animal Production Congress , 2025
2025 - Recognition of horse behaviours using deep learning techniques
C Giannone, E Dalla Costa, C Maccario, E Atallah, M Bovo
2025 International Workshop on Measurements and Applications in Veterinary … , 2025
2025 - A link between PLF, animal welfare and LCA: the objectives of SUS3D project
MBM Bovo, C Capretti, M Chincarini, D Di Battista, C Giannone, L Lanzoni, ...
11th European Conference on Precision Livestock Farming-Conference … , 2024
2024 - Preliminary results of environmental sustainability assessment of dairy farm equipped with PLF systems: a case study
C Giannone, M Bovo, E Santolini, D Torreggiani, P Tassinari
2024 International Workshop on Measurements and Applications in Veterinary … , 2024
2024
