Guntoro, B. and Hoang, Q. N. and A'Yun, A. Q. and Rochijan, Rochijan (2019) Dynamic Responses of Livestock Farmers to Smart Farming. In: IOP Conference Series: Earth and Environmental Science, 2019.
Guntoro_2019_IOP_Conf._Ser.__Earth_Environ._Sci._372_012042.pdf
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Abstract
Nowadays, livestock has made clear changes in industrial and semi-industrial production organizations or smart farming. The adoption of livestock technology is extremely important to enhance the quality and quantity of livestock products. Besides, technology may help farmers to increase their profit and protect the health of costumer and environment. Advanced technologies in smart farming were widely applied by livestock farmers such as data management, Internet of Things technology, precision farming, agriculture drones, and so forth. Those technologies may make a great livestock system like closed livestock production from breeding to processing and consumption. Moreover, when using smart farming techniques, farmers can better monitor or observe the need for individual animals and adjust their nutrition correspondingly, thereby preventing diseases and improving herb health. There are many benefits from adopting smart farming and also have some obstacles that farmers have to face when they would like to access to smart farming. This paper also gives extensions and innovations for small farmers that can be utilized to facilitate the processing of smart farming implementation.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Library Dosen |
| Uncontrolled Keywords: | Agricultural robots; Animals; Food technology; Information management; Internet of things; Advanced technology; Farmers; Industrial production; Internet of things technologies; Livestock production; Livestock systems; Precision farming; smart farming; Agriculture |
| Subjects: | S Agriculture > SF Animal culture |
| Divisions: | Faculty of Animal Sciences > Department of Livestock Socio-Economics |
| Depositing User: | Sri JUNANDI |
| Date Deposited: | 29 Jun 2026 01:26 |
| Last Modified: | 29 Jun 2026 01:26 |
| URI: | https://ir.lib.ugm.ac.id/id/eprint/26635 |
