Design and development of automatic weed detection and smart herbicide sprayer robot

Aravind, R.; Daman, M; Kariyappa, B S

doi:10.1109/raics.2015.7488424

Cited by 43 publications

(12 citation statements)

References 2 publications

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“…The automatic weed detection and smart herbicide sprayer robot developed in [1] uses an image processing algorithm to process the images captured by the Raspberry Pi Camera at regular intervals and upon identifying the weeds, an arrangement is made to spray the herbicide directly and only on the weeds. The algorithm mainly uses an Erosion and Dilation approach to detect weeds.…”

Section: Related Workmentioning

confidence: 99%

Weed Detection and Removal based on Image Processing

Johnson¹,

Mohan²,

Paul³

2020

IJRTE

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Agriculture, although known as the backbone of the Indian economy, is facing crisisin terms of production. One of the major issues in the agriculture sector is the growth of weeds among the crops. They compete with the desired plants for various resources and hence their growth must be inhibited. At present weeds are removed either manually, which is a time consuming and labour intensive task, or herbicides are being sprayed uniformly all over the field to keep them under check. Spraying of herbicide is very inefficient as the chemical contributes less to weed control and cause contamination of the environment. The main objective of this work is a weed control system that differentiates the weed from crops and restricts weed growth alone by the precise removal of the weed. This is implemented by capturing the images of the field at regular intervals and processing them with a Raspberry Pi board by making use of an image processing algorithm to differentiate the desired plants from the weeds. This is based on various features like colour and size of the crop and weed. Once the weeds are identified and located correctly through image processing, a signal is transmitted from the Raspberry Pi board to turn on the weed cutting system. The selective activation of the weed removal system helps in the precise removal of the weeds and this provides a better environment for the desired plants to grow well.

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Section: Related Workmentioning

confidence: 99%

Weed Detection and Removal based on Image Processing

Johnson¹,

Mohan²,

Paul³

2020

IJRTE

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“…to identify crops from weeds [7][8][9][10][11][12]. Other work applies fuzzy logic and related techniques to convert image data into commands that can be used to actuate herbicide sprayers [13,14]. Thanks to the advancement of sensors, computational power, and algorithms, many breakthroughs have been made in weed detection in the past few years.…”

Section: Introductionmentioning

confidence: 99%

Weed Detection for Selective Spraying: a Review

2020

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Purpose of Review Weed detection systems are important solutions to one of the existing agricultural problems-unmechanized weed control. Weed detection also helps provide a means of reducing or eliminating herbicide use, mitigating agricultural environmental and health impact, and improving sustainability. Recent Findings Deep learning-based techniques are replacing traditional machine learning techniques to detect weeds in real time with the development of new models and increasing computational power. More hybrid machine learning models are emerging, utilizing benefits from different techniques. More large-scale crop and weed image datasets are available online now, and this provides more data and opportunities for researchers and engineers to join and contribute to this field. Summary This article provides a mini-review of all the different emerging and popular weed detection techniques for selective spraying, and summarizes the trends in this area in the past several years.

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“…Research in Gibson et al [4] and Vasconez et al [5] proposed the application of human-robotic interaction (HRI) technology for teleoperated spraying and other agricultural application. The application of robotics for automatic weed detection and herbicide sprayer are reported in Aravind et al [6]. Mobile robot used for Carbon Monoxide monitoring devised by Rahmaniar et al [7].…”

Section: Introductionmentioning

confidence: 99%

All-terrain mobile robot desinfectant sprayer to decrease the spread of COVID-19 in open area

Megantoro

Setiadi

Pramudita

2021

IJECE

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The application of disinfection is becoming popular in recent months due to the COVID-19. Usually, the disinfection is used by spraying the liquid into an object. However, the disinfection process for humans and objects in the human environment is still done manually and takes time and increases exposure to viruses. Robotic technology can be a solution to handle that problem. Following that problem, robot design is proposed with many abilities and features. The robot can operate in remote conditions and full function for approximately 56 minutes and spray the liquid for more than 1 meter. This research can effectively be applied in COVID-19 handlings.

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Design and development of automatic weed detection and smart herbicide sprayer robot

Cited by 43 publications

References 2 publications

Weed Detection and Removal based on Image Processing

Weed Detection and Removal based on Image Processing

Weed Detection for Selective Spraying: a Review

All-terrain mobile robot desinfectant sprayer to decrease the spread of COVID-19 in open area

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