Home // ALLSENSORS 2018, The Third International Conference on Advances in Sensors, Actuators, Metering and Sensing // View article
Authors:
Elmer Alexis Gamboa Peñaloza
Vilma Alves Oliveira
Paulo Estevão Cruvinel
Keywords: Soft-sensor; Inferential sensors; Quality of application; Principal component analysis; Agricultural sprayers.
Abstract:
Pesticide application has been an important activity for pest control in agricultural production and in sustaining food security. The quality of an application plays an important role to decrease human and environmental risks, as well as in relation to the costs for food production. To evaluate the quality of the application by sprayers, several quality descriptors are used. Such descriptors are related to the average diameter of drops and the distribution of drops in the application. This paper presents the construction of a soft-sensor, based on Principal Components Analysis (PCA), to infer the quality of application. The soft-sensor has as inputs the operating conditions of agricultural sprayers and offers as output the quality descriptors that serve as a base of information to estimate the level of quality that a pesticide application can meet at a certain time. Hence, the selection of historical data, the exploration and filtering of data, as well as the structure and the validation of the soft-sensor are presented. The results have shown the usefulness of the soft-sensor in the aggregation of value to the process of pesticide application and decision-making in agriculture.
Pages: 95 to 100
Copyright: Copyright (c) IARIA, 2018
Publication date: March 25, 2018
Published in: conference
ISSN: 2519-836X
ISBN: 978-1-61208-621-7
Location: Rome, Italy
Dates: from March 25, 2018 to March 29, 2018