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Sensor-based mechanical weed control: Present state and prospects.

Authors :
Machleb, Jannis
Peteinatos, Gerassimos G.
Kollenda, Benjamin L.
Andújar, Dionisio
Gerhards, Roland
Source :
Computers & Electronics in Agriculture. Sep2020, Vol. 176, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

• "Sensor-based mechanical weed control: present state and prospects". • Mechanical weed control profits from implementation of sensor systems. • Camera-steered implements are widely available and facilitate mechanical weeding. • Agricultural robots are increasingly being developed to help with repetitive tasks. • Utilization of sensor technology in agriculture will increase further. Mechanical weed control in agriculture has advanced in terms of precision and working rate over the past years. The real-time communication of implements with sensor systems further increased the potential of mechanical weeding. There is a wide array of available sensors including image analysis by camera, GNSS, laser and ultrasonic systems that can improve weed control efficacy in combination with mechanical systems. Every sensor type has its advantages and disadvantages. Camera-steered hoes with a hydraulic side shifting control for row crops are robust and reliable and they are now widely available from different manufacturers. The robotic sector has difficulties handling the everchanging environment of agricultural fields and fully automated systems may not exist for many years. This review looks at the developments in sensor-based mechanical weeding since the 1980s. It focused on scientific studies presenting data results of their work, with the aim of providing an overview of the possibilities of sensor-based systems and to show their efficacy. The practical application for current and future farms is considered and discussed. Furthermore, an outlook towards sensor-based mechanical weeding in the future and necessary improvements are given. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01681699
Volume :
176
Database :
Academic Search Index
Journal :
Computers & Electronics in Agriculture
Publication Type :
Academic Journal
Accession number :
145135286
Full Text :
https://doi.org/10.1016/j.compag.2020.105638