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Modelling the smart farm
Open accessAbstract
Smart farming envisages the harnessing of Information and Communication Technologies as an enabler of more efficient, productive, and profitable farming enterprises. Such technologies do not suffice on their own; rather they must be judiciously combined to deliver meaningful information in near real-time. Decision-support tools incorporating models of disparate farming activities, either on their own or in combination with other models, offer one popular approach; exemplars include GPFARM, APSIM, GRAZPLAN amongst many others. Such models tend to be generic in nature and their adoption by individual farmers is minimal. Smart technologies offer an opportunity to remedy this situation; farm-specific models that can reflect near real-time events become tractable using such technologies. Research on the development, and application of farm-specific models is at a very early stage. This paper thus presents an overview of models within the farming enterprise; it then reviews the state-of the art in smart technologies that promise to enable a new generation of enterprise-specific models that will underpin future smart farming enterprises.
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Agricultural sustainability and intensive production practices
Tilman, D., Cassman, K. G., Matson, P. A., Naylor, R., & Polasky, S. (2002) · Nature · doi:10.1038/nature01014 · Cited by 7,957
APSIM – evolution towards a new generation of agricultural systems simulation
Holzworth, D. P., Huth, N. I., deVoil, P. G., Zurcher, E. J., Herrmann, N. I., McLean, G., Chenu, K., van Oosterom, E. J., Snow, V., Murphy, C., et al. (2014) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2014.07.009 · Cited by 1,756
Sustainable Intensification in Agriculture: Premises and Policies
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Precision Agriculture for Crop and Livestock Farming—Brief Review
Monteiro, A., Santos, S., & Gonçalves, P. (2021) · Animals · doi:10.3390/ani11082345 · Cited by 396
Sharma, R., Shishodia, A., Kamble, S., Gunasekaran, A., & Belhadi, A. (2024) · International Journal of Logistics Research and Applications · doi:10.1080/13675567.2020.1830049 · Cited by 348
The Digitisation of Agriculture: a Survey of Research Activities on Smart Farming
Bacco, M., Barsocchi, P., Ferro, E., Gotta, A., & Ruggeri, M. (2019) · Array · doi:10.1016/j.array.2019.100009 · Cited by 346
A systematic literature review on the use of machine learning in precision livestock farming
García, R., Aguilar, J., Toro, M., Pinto, A., & Rodríguez, P. (2020) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2020.105826 · Cited by 292
Metadata
- Authors
- O'Grady, M. J., & O'Hare, G. M. P.
- Venue
- Information Processing in Agriculture
- Publisher
- Elsevier BV
- Published
- 2017-09
- Volume
- 4
- Issue
- 3
- Pages
- 179-187
- ISSN
- 2214-3173 (ISSN-L)
- OpenAlex
- W2614384295
- Cited by
- 171
- References
- 5
- FWCI
- 16.03
- Type
- journal article
- Language
- en
- Open access
- gold
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