The role of sensors, big data and machine learning in modern animal farming
Ever since man began domesticating animals several thousand years ago, we have always relied on our intuition, collective knowledge, and sensory signals to make effective animal production decisions. So far, this has helped us make significant gains in animal husbandry and farming. Together the grow...
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| Format: | Article |
| Language: | English |
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Elsevier
2020-08-01
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| Series: | Sensing and Bio-Sensing Research |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214180420301343 |
| _version_ | 1818241696581812224 |
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| author | Suresh Neethirajan |
| author_facet | Suresh Neethirajan |
| author_sort | Suresh Neethirajan |
| collection | DOAJ |
| description | Ever since man began domesticating animals several thousand years ago, we have always relied on our intuition, collective knowledge, and sensory signals to make effective animal production decisions. So far, this has helped us make significant gains in animal husbandry and farming. Together the growing demand for food and the advancement in sensing technology have the potential to make animal farming more centralized, large scale and efficient. It has the potential to change animal farming as we know it. At a broader level, this paper explores the challenges and opportunities that sensor technologies present in terms of helping animal farmers produce more meat and animal products. More specifically, this paper explores the role of sensors, big data, artificial intelligence and machine learning in helping animal farmers to lower production costs, increase efficiencies, enhance animal welfare and grow more animals per hectare. It also explores the challenges and limitations of technology. The paper reviews various animal farming technology applications to understand its value in helping farmers improve animal health, increase profits and lower environmental footprint. |
| first_indexed | 2024-12-12T13:33:27Z |
| format | Article |
| id | doaj.art-a361cdae3cee4a86b97034eead5098fe |
| institution | Directory Open Access Journal |
| issn | 2214-1804 |
| language | English |
| last_indexed | 2024-12-12T13:33:27Z |
| publishDate | 2020-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Sensing and Bio-Sensing Research |
| spelling | doaj.art-a361cdae3cee4a86b97034eead5098fe2022-12-22T00:23:01ZengElsevierSensing and Bio-Sensing Research2214-18042020-08-0129100367The role of sensors, big data and machine learning in modern animal farmingSuresh Neethirajan0Ajna Consulting, 42 Edwards Street, Guelph, ON N1E 0B3, CanadaEver since man began domesticating animals several thousand years ago, we have always relied on our intuition, collective knowledge, and sensory signals to make effective animal production decisions. So far, this has helped us make significant gains in animal husbandry and farming. Together the growing demand for food and the advancement in sensing technology have the potential to make animal farming more centralized, large scale and efficient. It has the potential to change animal farming as we know it. At a broader level, this paper explores the challenges and opportunities that sensor technologies present in terms of helping animal farmers produce more meat and animal products. More specifically, this paper explores the role of sensors, big data, artificial intelligence and machine learning in helping animal farmers to lower production costs, increase efficiencies, enhance animal welfare and grow more animals per hectare. It also explores the challenges and limitations of technology. The paper reviews various animal farming technology applications to understand its value in helping farmers improve animal health, increase profits and lower environmental footprint.http://www.sciencedirect.com/science/article/pii/S2214180420301343Smart farmingAnimal healthWell-beingSensor systemsPrecision livestock farming |
| spellingShingle | Suresh Neethirajan The role of sensors, big data and machine learning in modern animal farming Sensing and Bio-Sensing Research Smart farming Animal health Well-being Sensor systems Precision livestock farming |
| title | The role of sensors, big data and machine learning in modern animal farming |
| title_full | The role of sensors, big data and machine learning in modern animal farming |
| title_fullStr | The role of sensors, big data and machine learning in modern animal farming |
| title_full_unstemmed | The role of sensors, big data and machine learning in modern animal farming |
| title_short | The role of sensors, big data and machine learning in modern animal farming |
| title_sort | role of sensors big data and machine learning in modern animal farming |
| topic | Smart farming Animal health Well-being Sensor systems Precision livestock farming |
| url | http://www.sciencedirect.com/science/article/pii/S2214180420301343 |
| work_keys_str_mv | AT sureshneethirajan theroleofsensorsbigdataandmachinelearninginmodernanimalfarming AT sureshneethirajan roleofsensorsbigdataandmachinelearninginmodernanimalfarming |