Título:	Automatic data acquisition system-adas for energy optimization in tractors and implement.
Autoria:	MANTOVANI, E. C. SANTOS, E. do C. OLIVEIRA, A. C. de
Afiliação:	EVANDRO CHARTUNI MANTOVANI, Pesquisador aposentado-CNPMS; DEIVITY DO CARMO SANTOS, UNIFEMM; ANTONIO CARLOS DE OLIVEIRA, CNPMS.
Ano de publicação:	2023
Referência:	Revista Brasileira de Milho e Sorgo, v. 22, e1304, 2023.
Conteúdo:	The technical dimensioning of the tractor set and implements for each crop and respective areas to be explored establishes the width of the implement, tractor power, and management characteristics to be used. Fuel consumption (l/h), operational work performance (ha/h), and quality of work are the most critical operational performance indicators in the set. The Automatic Data Acquisition System ? ADAS (SIAD in Portuguese), developed in 2018, was improved in 2020, to an easy-to-handle system aimed at managing field operations of the tractor+implement set, with a programmable acquisition module, with real-time records, georeferenced and stored in memory at one-second intervals. The ADAS was tested on a bench, and validated with the tractor+implement set plowing in alluvial soil, in 12 data collection cycles, for an operational evaluation. Comparing the traction efficiency of 43.07% obtained by the tractor+plow set for a slippage of 17.3%, it can be seen that it falls short of the values presented by Janulevičius et al. (2019). In addition, Table 4 indicates that the tractor is working with a very high range of slipping values, ranging from 17.3 to 41.9%, reinforcing the need for adjustments, especially with ballasts, to avoid power loss through the wheels and to keep the tractor moving. The essential information, fuel consumption, and slippage can be read in real-time by the operator, on the box display on the tractor panel, and later, by the technical area, as they are recorded in the microcomputer memory to analyze the operations.
Thesagro:	Mecanização Agrícola
Palavras-chave:	Instrumentação eletrônica Aquisição automática de dados Avaliação operacional
Digital Object Identifier:	https://doi.org/10.18512/rbms2023v22e1304
Tipo do material:	Artigo de periódico
Acesso:	openAccess
Aparece nas coleções:	Artigo em periódico indexado (CNPMS)