Literature DB >> 24203911

Potential use of ground-based sensor technologies for weed detection.

Gerassimos G Peteinatos1, Martin Weis, Dionisio Andújar, Victor Rueda Ayala, Roland Gerhards.   

Abstract

Site-specific weed management is the part of precision agriculture (PA) that tries to effectively control weed infestations with the least economical and environmental burdens. This can be achieved with the aid of ground-based or near-range sensors in combination with decision rules and precise application technologies. Near-range sensor technologies, developed for mounting on a vehicle, have been emerging for PA applications during the last three decades. These technologies focus on identifying plants and measuring their physiological status with the aid of their spectral and morphological characteristics. Cameras, spectrometers, fluorometers and distance sensors are the most prominent sensors for PA applications. The objective of this article is to describe-ground based sensors that have the potential to be used for weed detection and measurement of weed infestation level. An overview of current sensor systems is presented, describing their concepts, results that have been achieved, already utilized commercial systems and problems that persist. A perspective for the development of these sensors is given.
© 2013 Society of Chemical Industry.

Entities:  

Keywords:  Distance Sensors; Optical Sensors; Site Specific Weed Management; Weed Detection

Mesh:

Substances:

Year:  2013        PMID: 24203911     DOI: 10.1002/ps.3677

Source DB:  PubMed          Journal:  Pest Manag Sci        ISSN: 1526-498X            Impact factor:   4.845


  7 in total

1.  Use of a visible reporter marker- myb-related gene in crop plants to minimize herbicide usage against weeds.

Authors:  Radi Aly; Ran Lati; Vinay K Bari; Jackline Abu-Nassar; Hanan Eizenberg
Journal:  Plant Signal Behav       Date:  2019-02-26

2.  An Analytic Model for the Success Rate of a Robotic Actuator System in Hitting Random Targets.

Authors:  Stuart Bradley
Journal:  Sensors (Basel)       Date:  2015-11-20       Impact factor: 3.576

3.  Evaluating RGB Imaging and Multispectral Active and Hyperspectral Passive Sensing for Assessing Early Plant Vigor in Winter Wheat.

Authors:  Lukas Prey; Malte von Bloh; Urs Schmidhalter
Journal:  Sensors (Basel)       Date:  2018-09-03       Impact factor: 3.576

4.  Comparing UAV-Based Technologies and RGB-D Reconstruction Methods for Plant Height and Biomass Monitoring on Grass Ley.

Authors:  Victor P Rueda-Ayala; José M Peña; Mats Höglind; José M Bengochea-Guevara; Dionisio Andújar
Journal:  Sensors (Basel)       Date:  2019-01-28       Impact factor: 3.576

5.  Evaluation of Vineyard Cropping Systems Using On-Board RGB-Depth Perception.

Authors:  Hugo Moreno; Victor Rueda-Ayala; Angela Ribeiro; Jose Bengochea-Guevara; Juan Lopez; Gerassimos Peteinatos; Constantino Valero; Dionisio Andújar
Journal:  Sensors (Basel)       Date:  2020-12-03       Impact factor: 3.576

6.  OpenWeedLocator (OWL): an open-source, low-cost device for fallow weed detection.

Authors:  Guy Coleman; William Salter; Michael Walsh
Journal:  Sci Rep       Date:  2022-01-07       Impact factor: 4.379

7.  Measurement Method for Height-Independent Vegetation Indices Based on an Active Light Source.

Authors:  Yongqian Ding; Yizhuo Jiang; Hongfeng Yu; Chuanlei Yang; Xueni Wu; Guoxiang Sun; Xiuqing Fu; Xianglin Dou
Journal:  Sensors (Basel)       Date:  2020-03-25       Impact factor: 3.576

  7 in total

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