Title:	A Model Based Intelligent Sensor to Control Sprinklers in Spray Actions.
Authors:	SCHUTZ, D. R. PENALOZA, E. A. G. MERCALDI, H. V. OLIVEIRA, V. A. CRUVINEL, P. E.
Affiliation:	Federal University of Pelotas; Federal University of Sao Carlos; University of Sao Paulo; PAULO ESTEVAO CRUVINEL, CNPDIA.
Date Issued:	2023
Citation:	In: INTERNATIONAL CONFERENCE ON ADVANCES IN SENSORS, ACTUATORS, METERING AND SENSING - ALLSENSORS 2023, 8., 2023, Venice, Italy. Proceedings... Wilmington, USA: IARIA, 2023.
Description:	—Application of pesticides in crops is used to achieve food production. The use of technologies has become possible to decrease not only the biological risk but also the ecological and human ones that may occur during the application of pesticides. When using large sprayer machines, risks increase considerably due to the complexity of the trajectories required to cover the entire crop area. In this context, it is required a better analysis of the effects of different maneuvers on the quality and efficiency of the spray. This paper presents an intelligent control system based on models and smart sensors for automatic spray tip operation that enables error corrections as a function of the boom trajectory. As a new technology, such intelligent control and topology allow to increase quality and efficiency of the application of pesticides by agricultural sprayers.
Keywords:	Intelligent sensor Electronic control GPC
ISBN:	978-1-68558-083-4
Type of Material:	Artigo em anais e proceedings
Access:	openAccess
Appears in Collections:	Artigo em anais de congresso (CNPDIA)