The use of unmanned aerial vehicles and wireless sensor networks for spraying pesticides

Faiçal, Bruno S.; Costa, Fausto Guzzo da; Pessin, Gustavo; Ueyama, Jó; Freitas, Heitor; Colombo, Alexandre; Fini, Pedro H.; Villas, Leandro A.; Osório, Fernando Santos; Vargas, Patrícia A.; Braun, Torsten

doi:10.1016/j.sysarc.2014.01.004

Cited by 146 publications

(76 citation statements)

References 25 publications

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“…A study on the precise application of pesticides using an UAV was performed by Faiçal et al (2014). They mainly focused on developing a system architecture using an UAV through simulations.…”

Section: Crop Pest and Disease Monitoring And Control Robotsmentioning

confidence: 99%

Task-based agricultural mobile robots in arable farming: A review

Aravind

Raja

Pérez-Ruiz

2017

Span. j. agric. res.

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In agriculture (in the context of this paper, the terms "agriculture" and "farming" refer to only the farming of crops and exclude the farming of animals), smart farming and automated agricultural technology have emerged as promising methodologies for increasing the crop productivity without sacrificing produce quality. The emergence of various robotics technologies has facilitated the application of these techniques in agricultural processes. However, incorporating this technology in farms has proven to be challenging because of the large variations in shape, size, rate and type of growth, type of produce, and environmental requirements for different types of crops. Agricultural processes are chains of systematic, repetitive, and time-dependent tasks. However, some agricultural processes differ based on the type of farming, namely permanent crop farming and arable farming. Permanent crop farming includes permanent crops or woody plants such as orchards and vineyards whereas arable farming includes temporary crops such as wheat and rice. Major operations in open arable farming include tilling, soil analysis, seeding, transplanting, crop scouting, pest control, weed removal and harvesting where robots can assist in performing all of these tasks. Each specific operation requires axillary devices and sensors with specific functions. This article reviews the latest advances in the application of mobile robots in these agricultural operations for open arable farming and provide an overview of the systems and techniques that are used. This article also discusses various challenges for future improvements in using reliable mobile robots for arable farming.Additional key words: precision agriculture; task-based agricultural robots; soil analysis; seeding; weed detection; harvesting; crop scouting robot Correspondence should be addressed to P. Raja: raja_sastra@yahoo.com

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Section: Crop Pest and Disease Monitoring And Control Robotsmentioning

confidence: 99%

Task-based agricultural mobile robots in arable farming: A review

Aravind

Raja

Pérez-Ruiz

2017

Span. j. agric. res.

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“…The application of pesticides is of crucial importance for crop protection. The use of UAVs is becoming increasingly common in carrying out this task mainly because of their speed, accuracy and effectiveness in the spraying operation [21,22] . In our proof-of-concept scenario, an e-trap [23,24,25] calls a UAV (in practice this would be a spraying UAV), and submits its coordinates.…”

Section: Case C: Uavs Co-operating With E-trapsmentioning

confidence: 99%

Use of Unmanned Aerial Vehicles for Agricultural Applications with Emphasis on Crop Protection: Three Novel Case - studies

Psirofonia¹,

Samaritakis²,

Eliopoulos³

et al. 2017

IJAST

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The aim of this work is to introduce new applications for Unmanned Aerial Vehicles (UAVs) in Agriculture and especially in crop protection. All tests have been carried out in the island of Crete in Greece. Specific applications are: a) detection of symptoms (canopy discoloration) of pest or disease infestation on olive trees, b) mapping of Palm trees and identification of visible signs of infestation by the red palm weevil Rhynchophorus ferrugineus in large palm plantations, c) co-operation of UAV with electronic traps that automatically count insects and send counts to a server which, in turn summons and direct drones to spray in designated areas. Equipment and software, step by step methodology and practical applications of each of the three cases are described. We seek new application of drones in view to expand their possible uses that will allow them to penetrate the business of small to medium sized regional stakeholders. This work puts its emphasis on the practical details of the implementations, serving as a useful reference to relevant field-work.

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“…Faiçal and collaborators [4] proposed an architecture formed of UAV and WSN to spray pesticide in crop fields. It is known that adverse weather conditions, such as winds of high speed, can cause errors in the spraying process.…”

Section: Related Workmentioning

confidence: 99%

“…Based on the information received, the UAV appropriately applies a policy to correct its route. Hence, the main contributions of this research are as follows: (i) investigate an evolutionary methodology capable of minimize human contact with pesticides, (ii) evaluate an evolutionary approach able to minimize the error in spraying pesticides in areas of growing vegetables and fruits, (iii) investigate techniques able to maximize quality in agricultural production, and (iv) contribute to increase the autonomy of the architecture proposed by [4], in which the policy parameters were set empirically and applied independent of weather conditions. This paper is divided into six sections.…”

Section: Introductionmentioning

confidence: 99%

Fine-Tuning of UAV Control Rules for Spraying Pesticides on Crop Fields

Faiçal

Pessin

Filho

et al. 2014

2014 IEEE 26th International Conference on Tools With Artificial Intelligence

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Abstract-The use of pesticides in agriculture is essential to maintain the quality of large-scale production. The spraying of these products by using aircraft speeds up the process and prevents compacting of the soil. However, adverse weather conditions (e.g. the speed and direction of the wind) can impair the effectiveness of the spraying of pesticides in a target crop field. Thus, there is a risk that the pesticide can drift to neighboring crop fields. It is believed that a large amount of all the pesticide used in the world drifts outside of the target crop field and only a small amount is effective in controlling pests. However, with increased precision in the spraying, it is possible to reduce the amount of pesticide used and improve the quality of agricultural products as well as mitigate the risk of environmental damage. With this objective, this paper proposes a methodology based on Particle Swarm Optimization (PSO) for the fine-tuning of control rules during the spraying of pesticides in crop fields. This methodology can be employed with speed and efficiency and achieve good results by taking account of the weather conditions reported by a Wireless Sensor Network (WSN). In this scenario, the UAV becomes a mobile node of the WSN that is able to make personalized decisions for each crop field. The experiments that were carried out show that the optimization methodology proposed is able to reduce the drift of pesticides by fine-tuning of control rules.

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The use of unmanned aerial vehicles and wireless sensor networks for spraying pesticides

Cited by 146 publications

References 25 publications

Task-based agricultural mobile robots in arable farming: A review

Task-based agricultural mobile robots in arable farming: A review

Use of Unmanned Aerial Vehicles for Agricultural Applications with Emphasis on Crop Protection: Three Novel Case - studies

Fine-Tuning of UAV Control Rules for Spraying Pesticides on Crop Fields

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