Reference Standard Process Model for Agriculture: Introduction and Steps for Further Development
 
 
 
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University of Ljubljana, Ljubljana, Slovenia
 
 
Submission date: 2024-01-02
 
 
Acceptance date: 2024-08-05
 
 
Online publication date: 2024-09-19
 
 
Publication date: 2024-09-19
 
 
Journal of Research and Applications in Agricultural Engineering 2024;69(1)
 
REFERENCES (23)
1.
A. Kaloxylos et al., “A cloud-based Farm Management System: Architecture and implementation,” Comput. Electron. Agric., 2014, 100, 168–179.
 
2.
Y. Ampatzidis, L. Tan, R. Haley, and M. D. Whiting, “Cloud-based harvest management information system for hand-harvested specialty crops,” Comput. Electron. Agric., 2016, 122, 161–167.
 
3.
R. Rupnik, M. Kukar, P. Vračar, D. Košir, D. Pevec, and Z. Bosnić, “AgroDSS: A decision support system for agriculture and farming,” Comput. Electron. Agric., 2018, 161, 260-271.
 
4.
S. Fountas et al., “Farm management information systems: Current situation and future perspectives,” Comput. Electron. Agric., 2015, 115, 40–50.
 
5.
A. Kaloxylos et al., “Farm management systems and the Future Internet era,” Comput. Electron. Agric., 2012, 89, 130–144.
 
6.
C. N. Verdouw, R. M. Robbemond, and J. Wolfert, “ERP in agriculture: Lessons learned from the Dutch horticulture,” Comput. Electron. Agric., 2015, 114, 125–133.
 
7.
U. Lele and S. Goswami, “The fourth industrial revolution, agricultural and rural innovation, and implications for public policy and investments: a case of India,” Agric. Econ. (United Kingdom), 2017, 48, 87–100.
 
8.
R. R. B. Khataza, A. Hailu, G. J. Doole, M. E. Kragt, and A. D. Alene, “Examining the relationship between farm size and productive efficiency: a Bayesian directional distance function approach,” Agric. Econ. (United Kingdom), 2019, 50(2), 237–246.
 
9.
J. Santa, M. A. Zamora-Izquierdo, A. J. Jara, and A. F. Gómez-Skarmeta, “Telematic platform for integral management of agricultural/perishable goods in terrestrial logistics,” Comput. Electron. Agric., 2012, 80, 31–40.
 
10.
C. Eastwood, M. Ayre, R. Nettle, and B. Dela Rue, “Making sense in the cloud: Farm advisory services in a smart farming future,” NJAS - Wageningen J. Life Sci., 2019.
 
11.
B. Žvanut, M. Burnik, T. Š. Kolnik, and P. Pucer, “The applicability of COBIT processes representation structure for quality improvement in healthcare: a Delphi study,” Int. J. Qual. Heal. Care, vol. 32, 2020, 9, 577–584.
 
12.
J. Tummers, A. Kassahun, and B. Tekinerdogan, “Obstacles and features of Farm Management Information Systems: A systematic literature review,” Computers and Electronics in Agriculture, 2019, 157, 189–204.
 
13.
M. Vavpotic, D. and Bajec, “An approach for concurrent evaluation of technical and social aspects of software develop-ment methodologies,” Inf. Softw. Technol., 2009, 51(2), 528–545.
 
14.
C. G. Sørensen et al., “Conceptual model of a future farm management information system,” Comput. Electron. Agric., 2010, 72(1), 37–47.
 
15.
ICASA, COBIT 2019. ISACA, 2019.
 
16.
ISACA, COBIT 4.1. 2007.
 
17.
D. Steuperaert, “COBIT 2019: A Significant Update,” EDP Audit. Control. Secur. Newsl., 2019, 59(1), 14–18.
 
18.
O.B. Adeboye, B. Schultz, A.P. Adeboye, K.O. Adekalu, J.A. Osinbitan: Application of the AquaCrop model in decision support for optimization of nitrogen fertilizer and water productivity of soybeans. Information processing in agriculture, 2021, Vol. 8, 419 - 436.
 
19.
I. Drobotǎ, T. Robu, B. Drobotǎ, and A. D. Robu, “Risk management in modern cereal farms,” Metal. Int., vol. 18, no. 8, 196–199, 2013.
 
20.
E. Gindu, A. Chiran, B. Drobota, and A.-F. Jitareanu, “Risk Management Methodology of Investment Projects With Environmental Impact,” J. Eng. Stud. Res., vol. 21, no. 1, 2018.
 
21.
M. M. Grime and G. Wright, “Delphi Method,” Wiley StatsRef: Statistics Reference Online. 1–6, 2016.
 
22.
C. Hsu and T. Ohio, “The Delphi Technique: Making Sense Of Consensus,” Pract. Assess. Res. Eval., vol. 12, no. 10, 2007.
 
23.
M. O’Grady, D. Langton, F. Salinari, P. Daly, G. O’Hare: Service design for climate-smart agriculture. Computers and electronic in agriculture, 2021, Vol. 8, 328 - 340.
 
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