Literature DB >> 30485756

Smart Animal Agriculture: Application of Real-Time Sensors to Improve Animal Well-Being and Production.

Ilan Halachmi1, Marcella Guarino2, Jeffrey Bewley3, Matti Pastell4.   

Abstract

Consumption of animal products such as meat, milk, and eggs in first-world countries has leveled off, but it is rising precipitously in developing countries. Agriculture will have to increase its output to meet demand, opening the door to increased automation and technological innovation; intensified, sustainable farming; and precision livestock farming (PLF) applications. Early indicators of medical problems, which use sensors to alert cattle farmers early concerning individual animals that need special care, are proliferating. Wearable technologies dominate the market. In less-value-per-animal systems like sheep, goat, pig, poultry, and fish, one sensor, like a camera or robot per herd/flock/school, rather than one sensor per animal, will become common. PLF sensors generate huge amounts of data, and many actors benefit from PLF data. No standards currently exist for sharing sensor-generated data, limiting the use of commercial sensors. Technologies providing accurate data can enhance a well-managed farm. Development of methods to turn the data into actionable solutions is critical.

Entities:  

Keywords:  PLF; animal welfare; farm management; precision livestock farming

Year:  2018        PMID: 30485756     DOI: 10.1146/annurev-animal-020518-114851

Source DB:  PubMed          Journal:  Annu Rev Anim Biosci        ISSN: 2165-8102            Impact factor:   8.923


  19 in total

1.  The Potentialities of Machine Learning for Cow-Specific Milking: Automatically Setting Variables in Milking Machines.

Authors:  Jintao Wang; Daniela Lovarelli; Nicola Rota; Mingxia Shen; Mingzhou Lu; Marcella Guarino
Journal:  Animals (Basel)       Date:  2022-06-23       Impact factor: 3.231

Review 2.  Industry 4.0 and Precision Livestock Farming (PLF): An up to Date Overview across Animal Productions.

Authors:  Sarah Morrone; Corrado Dimauro; Filippo Gambella; Maria Grazia Cappai
Journal:  Sensors (Basel)       Date:  2022-06-07       Impact factor: 3.847

3.  Using Pruning-Based YOLOv3 Deep Learning Algorithm for Accurate Detection of Sheep Face.

Authors:  Shuang Song; Tonghai Liu; Hai Wang; Bagen Hasi; Chuangchuang Yuan; Fangyu Gao; Hongxiao Shi
Journal:  Animals (Basel)       Date:  2022-06-05       Impact factor: 3.231

Review 4.  ASAS-NANP symposium: mathematical modeling in animal nutrition: limitations and potential next steps for modeling and modelers in the animal sciences.

Authors:  Marc Jacobs; Aline Remus; Charlotte Gaillard; Hector M Menendez; Luis O Tedeschi; Suresh Neethirajan; Jennifer L Ellis
Journal:  J Anim Sci       Date:  2022-06-01       Impact factor: 3.338

5.  Random Forest Modelling of Milk Yield of Dairy Cows under Heat Stress Conditions.

Authors:  Marco Bovo; Miki Agrusti; Stefano Benni; Daniele Torreggiani; Patrizia Tassinari
Journal:  Animals (Basel)       Date:  2021-04-30       Impact factor: 2.752

6.  Hyperketonemia Predictions Provide an On-Farm Management Tool with Epidemiological Insights.

Authors:  Ryan S Pralle; Joel D Amdall; Robert H Fourdraine; Garrett R Oetzel; Heather M White
Journal:  Animals (Basel)       Date:  2021-04-30       Impact factor: 2.752

7.  Classification and Analysis of Multiple Cattle Unitary Behaviors and Movements Based on Machine Learning Methods.

Authors:  Yongfeng Li; Hang Shu; Jérôme Bindelle; Beibei Xu; Wenju Zhang; Zhongming Jin; Leifeng Guo; Wensheng Wang
Journal:  Animals (Basel)       Date:  2022-04-20       Impact factor: 2.752

8.  Exploring Smart Glasses for Augmented Reality: A Valuable and Integrative Tool in Precision Livestock Farming.

Authors:  Maria Caria; Gabriele Sara; Giuseppe Todde; Marco Polese; Antonio Pazzona
Journal:  Animals (Basel)       Date:  2019-11-01       Impact factor: 2.752

9.  Practical Experiences of a Smart Livestock Location Monitoring System Leveraging GNSS, LoRaWAN and Cloud Services.

Authors:  Mike O Ojo; Irene Viola; Mario Baratta; Stefano Giordano
Journal:  Sensors (Basel)       Date:  2021-12-30       Impact factor: 3.576

10.  A LoRa sensor network for monitoring pastured livestock location and activity.

Authors:  B R Dos Reis; Z Easton; R R White; D Fuka
Journal:  Transl Anim Sci       Date:  2021-01-25
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