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Authors:
Paulo Cruvinel
Elmer Penãloza
Pedro Andrade
Heitor Mercaldi
Keywords: failure and reliability of sensors; calibration of sensors; agricultural application quality; decision-making support; CAN bus; precision farming.
Abstract:
In this study, a solution for the operational analysis of agricultural sprayers based on their sensor devices for measurements, surveillance, signal conditioning, and interfacing circuits is proposed. The agricultural electronics-based machinery industry has significantly expanded during the past 10 years, and performance and cost advances have enabled the feasibility of operations for decision-making capabilities for food production. However, it is becoming increasingly necessary to study the system reliability, which is one of the major concerns in real agricultural machinery during field operation. A method is presented for the verification of the failure and reliability of an agricultural spraying system using a microcontroller, operating in an Arduino-based architecture, a controller area network protocol for communication and data analysis, and sensors for pressure, flow, and temperature, which are frequently used in such agricultural machinery for the spray quality control. All these sensors play an important role to support the variables control, and they must not only be operating correctly but must also ensure the verification of the application quality, which depends on the correct rate of pesticide application for pest control. Such a system allows to verify, in real time and at a low cost, the sensors’ calibration in addition to the evaluation of the whole operation, including the indication for corrections and sensor replacement, if necessary. In other words, it is possible to periodically check the sensor and sprayer reliability. Thus, the knowledge of sensors has become imperative for such applications in agriculture. Furthermore, the establishment of computational procedures for the evaluation of correct operation is equally important, which plays a strategic role, so that users can appropriate such knowledge and decrease measurement errors in variables that are directly related to the efficiency of pest control, as well as reduce the impact on the environment.
Pages: 38 to 48
Copyright: Copyright (c) IARIA, 2019
Publication date: October 27, 2019
Published in: conference
ISSN: 2308-3514
ISBN: 978-1-61208-745-0
Location: Nice, France
Dates: from October 27, 2019 to October 31, 2019