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Sensors-Based Stereo Image System for Precision Control of Weed in the Agricultural Industry

Authors:
Bruno M. Moreno
Paulo E. Cruvinel

Keywords: Camera sensors; Embedded platform; Stereo vision; Image sensor; Decision making; Weed control; Agricultural industry

Abstract:
This contribution indicates a solution for agricultural weed control based on stereo digital image sensors domain oriented devices, technologies, and applications. In the world, agriculture has been developed by combining the production, value aggregation, environmental and social responsibility. The sector is primarily responsible to supply food for people, as well as fibers and energy. To keep such results, farmers have faced the need to seek, increasingly rational use of inputs, as is the use of pesticides, plant regulators, and liquid fertilizers. This paper presents a discussion related to the design and development of a stereo image sensors for precision spraying in the control of weed species into agricultural crops, i.e., based on advances in sensor’s instrumentation and image processing. The yield of a crop can vary depending on the species of invasive plants involved, and due to its percentage of occupation by area, competition period, stage of development of the crop and soil as well as due to the weather conditions. In this context, the selection of adequate image sensor can result in better recognition process, i.e., improvement in sprayer quality at variable rates based on management zones.

Pages: 69 to 76

Copyright: Copyright (c) IARIA, 2018

Publication date: September 16, 2018

Published in: conference

ISSN: 2308-3514

ISBN: 978-1-61208-660-6

Location: Venice, Italy

Dates: from September 16, 2018 to September 20, 2018