Weed detecting robot in sugarcane fields using fuzzy real time classifier

Sujaritha, M.; Annadurai, S.; Satheeshkumar, J.; Sharan, Sudeep; Mahesh, L.

doi:10.1016/j.compag.2017.01.008

Cited by 94 publications

(41 citation statements)

References 15 publications

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“…This should also demonstrate the proposed method could be a direct and facile way to regulate ion transport and in‐situ reflect the enzyme catalysis. The polymer was formed and lengthened following the reported manner as below :…”

Section: Resultsmentioning

confidence: 95%

Enzyme Catalysis Induced Polymer Growth in Nanochannels: A New Approach to Regulate Ion Transport and to Study Enzyme Kinetics in Nanospace

Dai

et al. 2017

Electroanalysis

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Method that could regulate the ion transport in nanochannel in an efficient and rapid manner is still a challenge. Here, we introduced enzyme-catalysis-induced polymer growth in nanochannels to develop a new method to regulate the ion transport and evaluate the enzyme catalysis kinetics in nano-space. As a model enzyme, Horseradish peroxidase (HRP) was immobilized in the nanochannels through a volume-controlled-drying method. In the presence of H 2 O 2 , HRP catalyzed ophenylenediamine (o-PD) to trigger its polymer growth, in turn blocked the ion transport and led to the decrease of the ion current. Taking advantages of the high efficiency of enzyme catalysis and the nano-confinement of nanochannels, the system readily achieved blocking ratios of ion current even reaching 99.6 % of the initial. Based on above concept, we developed a new method to evaluate the enzyme catalysis kinetics in nano-confined space. By comparing with those in free state in solution and absorbed on planar surface, HRP confined in nanochannels presented similar apparent Michaelis constant (K m ) values for the substrate H 2 O 2 but much higher K m values for the substrate o-PD, due to the steric hindrance and diffusion suppression. The enzyme-catalysis-induced polymerization in nanochannels might lead to new concept for the nano-blocking/switching and provide a new platform for single molecule analysis and detection.

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Section: Resultsmentioning

confidence: 95%

Enzyme Catalysis Induced Polymer Growth in Nanochannels: A New Approach to Regulate Ion Transport and to Study Enzyme Kinetics in Nanospace

Dai

et al. 2017

Electroanalysis

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“…The JFML library uses JAXB to provide a fast and convenient way for reading and writing FLSs according to the standard. Finally, in order to make easier the interoperability of the library with other available software, JFML includes a module to import/export FLSs from/to three of the most widespread and widely used formats for FLSs: FCL [30], PMML [31], and Matlab FIS [32].…”

Section: Id:ti0035mentioning

confidence: 99%

Design of Fuzzy Controllers for Embedded Systems With JFML

Soto-Hidalgo¹,

Vitiello²,

Alonso³

et al. 2019

IJCIS

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Fuzzy Rule-Based Systems JFML Embedded systems IEEE Std 1855-2016 Open source software Open hardware ID:p0085 Fuzzy rule-based systems (FRBSs) have been successfully applied to a wide range of real-world problems. However, they suffer from some design issues related to the difficulty to implement them on different hardware platforms without additional efforts. To bridge this gap, recently, the IEEE Computational Intelligence Society has sponsored the publication of the standard IEEE Std 1855-2016 which is aimed at providing the fuzzy community with a well-defined approach to model FRBSs in a hardwareindependent way. In order to provide a runnable version of an FRBS that is designed in accordance with the IEEE Std 1855-2016, the open source library Java Fuzzy Markup Language (JFML) has been developed. However, due to hardware and/or software limitations of embedded systems, it is not always possible to run an IEEE Std 1855-2016 FRBS on this kind of systems. The aim of this paper is to overcome this drawback by developing a new JFML module that assists developers in the design and implementation of FRBSs for open hardware-embedded systems. In detail, the module supports several connection types (WiFi, Bluetooth, and USB) in order to make feasible running FRBSs in a remote computer when, due to hardware limitations, it is not possible that they run locally in the embedded systems. The new JFML module is ready for Arduino TM and Raspberry Pi, but it can be easily extended to other hardware architectures. Moreover, the new JFML module allows to automatically generate runnable files on Arduino TM or Raspberry Pi in order to support nonexpert users, that is, users without specific knowledge about embedded systems or without strong programming skills. The use of the new JFML module is illustrated in two case studies. A B S T R A C T

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“…Firstly, the development of the composite application of the capturing system and its components are studied. In [1] two different cameras were employed for capturing sugarcane images. Camera one was an intex IT-105 web camera (Cam1) and it was used for capturing inter-row images.…”

Section: The Effects Of Light On Green Vegetation Identificationmentioning

confidence: 99%

“…The following literatures are mainly about the attempt of new identification algorithm. In [1] a fuzzy real time classifier on leaf textures was used for a weed detecting robotic model in sugarcane fields. The designed robotic prototype correctly identified the sugarcane crop among nine different weed species.…”

Section: The Effects Of Light On Weed Identification Algorithmmentioning

confidence: 99%

A Review: The Survey of the Effects of Light on Weed Recognition

Zheng-qiang

Zhao-min

2018

MATEC Web Conf.

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Weeding is one of the important tasks in agricultural field management. With the development of society and information technology, automatic weeding has become a developing trend. The automatic recognition of weeds based visual is the important step. In this paper, the effects of lighting on green identification and weed identification algorithms are summarized. In order to improve the accuracy and stability of the identification of crops and weeds, some further worth problems in the study are also put forward. This will help further research on automatic weeding.

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Weed detecting robot in sugarcane fields using fuzzy real time classifier

Cited by 94 publications

References 15 publications

Enzyme Catalysis Induced Polymer Growth in Nanochannels: A New Approach to Regulate Ion Transport and to Study Enzyme Kinetics in Nanospace

Enzyme Catalysis Induced Polymer Growth in Nanochannels: A New Approach to Regulate Ion Transport and to Study Enzyme Kinetics in Nanospace

Design of Fuzzy Controllers for Embedded Systems With JFML

A Review: The Survey of the Effects of Light on Weed Recognition

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