Credit hours
In-class work per week |
Practice per week |
Credits |
Duration |
Total |
4 |
1 |
8 |
15 weeks |
120 hours |
Instructor
Leandro Maria Gimenez
Objective
The digitization of the economy leads to the insertion of new tools and production strategies. In this
context, machinery provide data that can be turned in information to improve processes, sometimes in
real time.
The course is aimed at presenting the concepts involved in the digitalization of production with
emphasis on mechanized resources, considered no longer just as performers of operations, but as
source of information for planning, capable of adjusting itself to environmental conditions and allowing
to change processes by feeding decision support systems. Examples of machine-obtained databases as
well as their processing are presented.
Target audience are graduate students from various areas of knowledge focused on process
optimization in production chains that involve machines.
Content
Module I - Conceptualization
1) The digitization of the economy and production processes
2) Performance evaluation of agricultural machinery
3) Mechanized Agricultural Systems: planning and control
Module II – Applications
5) Electronics embedded in power sources and examples of use
6) Electronics embedded in harvesting machines and examples of use
7) Electronics embedded in machines for crop treatment
8) Standards for information gathering and exchange between agricultural machines and implements
9) Data integration of agricultural machinery and its use for mechanized system management
10) System Data Integration: Environmental Variables and Machines
11) Data processing and knowledge extraction techniques
12) Operational performance indicators development.
Bibliography
Bochtis, D.D.; Sorensen, C.G.C.; Busato P. Advances in agricultural machinery management: A review. Biosystems Engineering, 126 (2014), pp. 69-81 (https://doi.org/10.1016/j.biosystemseng.2014.07.012 )
BRAUN, A.T.; COLANGELO, E.; STECKEL, T. Farming in the Era of Industrie 4.0, Procedia CIRP, Volume 72, 2018, Pages 979-984. https://doi.org/10.1016/j.procir.2018.03.176.
CIGR Handbook of Agricultural Engineering Volume VI Information Technology. Edited by CIGR--The International Commission of Agricultural Engineering; Volume Editor, Axel Munack. St. Joseph, Michigan, USA: ASABE. 2006, 523 p. http://www.cigr.org/documents/CIGRHandbookVol6.pdf , acessado em 20/09/19.
GOERING, C.F. Engine and tractor power. 4th edition, ASABE, St. Joseph, MI, USA. 2004. 539p.
GOERING, C.F.; STONE, M.L.; SMITH, D.W. e TURNQUIST, P.K. Off-road vehicle engineering principles. ASAE, St. Joseph, MI, USA. 2003. 474p.
INAMASU, R.Y.; SOUSA, R.V.; TABILE, R. A. Instrumentação em máquinas agrícolas. In: NAIME, J. M.; MATTOSO, L. H. C.; SILVA, W. T. L.; MARTIN-NETO, L.; CRESTANA, S. (Org.). Conceitos e aplicações
da instrumentação para o avanço da agricultura. 1ed.Brasília: Embrapa, 2014, v. 1, p. 317-342. https://www.alice.cnptia.embrapa.br/alice/bitstream/doc/1031555/1/Conceitoseaplicacoesbaixa.pdf , acessado em 20/09/2019.
LASI, H., FETTKE, P., KEMPER, HG. Industry 4.0. Bus Inf Syst Eng (2014) 6: 239. https://doi.org/10.1007/s12599-014-0334-4
MASSURÁ, S. M. F. S.; LEITE, M. A. de A.; LUCHIARI JUNIOR, A.; ROMANI, L. A. S. (Ed.). Tecnologias da informação e comunicação e suas relações com a agricultura. Brasília, DF: Embrapa, 2014. https://www.alice.cnptia.embrapa.br/alice/bitstream/doc/1012319/1/livroprocisurportuguescompletoreduzido.pdf , acessado em 20/09/2019.
MIALHE, L.G. Máquinas Agrícolas: ensaios & certificação. FEALQ. Piracicaba, SP. 1996. 772 p.
OECD. OECD standard codes for the official testing of agricultural and forestry tractors. Organization Co-operation and Development, Paris, 2019, https://www.oecd.org/agriculture/tractors/codes/02-oecd-tractor-codes-code-02.pdf , acessado em 20/09/19.
Rijk, A. G. CIGR Handbook of Agricultural Engineering, Volume III-Plant Production Engineering, Chapter 2 Mechanization Systems, Part 2.2 Agricultural Mechanization Strategy, pp. 536-553. 1999. (doi:10.13031/2013.36356)
Periódicos/Journals: Computers and Electronics in Agriculture, Transactions of the ASABE, Agricultural Systems, Biosystems Engineering, Information Processing in Agriculture