Sensor drone for aerial odor mapping for agriculture and security services

Pobkrut, Theerapat; Eamsa-ard, Tanthip; Kerdcharoen, Teerakiat

doi:10.1109/ecticon.2016.7561340

“…Tripicchio and his colleagues set out to improve large-scale analysis of cultivation techniques in which they successfully implemented a method to remotely detect field plowing depths without the use of satellite imaging [69]. In an unusual cross-over between military security and agricultural research, from a research group in Thailand, UAS were fitted with custom-made gas sensors and used to detect volatile compounds such as those released from cattle or ethylene from ripened fruit [70]. In 2016, Rangel developed a UAS for carrying and dropping biological control agents on field environments [71].…”

Section: Miscellaneousmentioning

confidence: 99%

Unmanned Aircraft System (UAS) Technology and Applications in Agriculture

Hassler

¹

,

Baysal-Gurel

²

2019

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Numerous sensors have been developed over time for precision agriculture; though, only recently have these sensors been incorporated into the new realm of unmanned aircraft systems (UAS). This UAS technology has allowed for a more integrated and optimized approach to various farming tasks such as field mapping, plant stress detection, biomass estimation, weed management, inventory counting, and chemical spraying, among others. These systems can be highly specialized depending on the particular goals of the researcher or farmer, yet many aspects of UAS are similar. All systems require an underlying platform—or unmanned aerial vehicle (UAV)—and one or more peripherals and sensing equipment such as imaging devices (RGB, multispectral, hyperspectral, near infra-red, RGB depth), gripping tools, or spraying equipment. Along with these wide-ranging peripherals and sensing equipment comes a great deal of data processing. Common tools to aid in this processing include vegetation indices, point clouds, machine learning models, and statistical methods. With any emerging technology, there are also a few considerations that need to be analyzed like legal constraints, economic trade-offs, and ease of use. This review then concludes with a discussion on the pros and cons of this technology, along with a brief outlook into future areas of research regarding UAS technology in agriculture.

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“…Related to environmental monitoring applications, there are works where a gas measuring device sensing the air quality is carried by a person (Zappi, Bales, Park, Griswold, & Šimuni, 2012), a bike (Elen et al, 2013;, public transport vehicles (Hasenfratz et al, 2015) or even drones (Neumann, Bartholmai, Schiller, Wiggerich, & Manolov, 2010;Pobkrut, Eamsa-ard, & Kerdcharoen, 2016). Despite sampling the environment in motion, most of the works does not perform a classification phase to discriminate the type of gas, but rather employs an array of gas sensors with disjoint selectivity (i.e.…”

Section: Gas Classification With Mobile Robotsmentioning

confidence: 99%

Towards Odor-Sensitive Mobile Robots

Monroy

¹

,

González-Jiménez

²

2019

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Out of all the components of a mobile robot, its sensorial system is undoubtedly among the most critical ones when operating in real environments. Until now, these sensorial systems mostly relied on range sensors (laser scanner, sonar, active triangulation) and cameras. While electronic noses have barely been employed, they can provide a complementary sensory information, vital for some applications, as with humans. This chapter analyzes the motivation of providing a robot with gas-sensing capabilities and also reviews some of the hurdles that are preventing smell from achieving the importance of other sensing modalities in robotics. The achievements made so far are reviewed to illustrate the current status on the three main fields within robotics olfaction: the classification of volatile substances, the spatial estimation of the gas dispersion from sparse measurements, and the localization of the gas source within a known environment.

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“…Related to environmental monitoring applications, there are works where a gas measuring device sensing the air quality is carried by a person (Zappi, Bales, Park, Griswold, & Šimuni, 2012), a bike (Elen et al, 2013;, public transport vehicles (Hasenfratz et al, 2015) or even drones (Neumann, Bartholmai, Schiller, Wiggerich, & Manolov, 2010;Pobkrut, Eamsa-ard, & Kerdcharoen, 2016). Despite sampling the environment in motion, most of the works does not perform a classification phase to discriminate the type of gas, but rather employs an array of gas sensors with disjoint selectivity (i.e.…”

Section: Figure 2 Pictures Of Two Portable E-nose Designs Developed mentioning

confidence: 99%

Towards Odor-Sensitive Mobile Robots

Monroy

¹

,

González-Jiménez

²

2018

Electronic Nose Technologies and Advances in Machine Olfaction

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Out of all the components of a mobile robot, its sensorial system is undoubtedly among the most critical ones when operating in real environments. Until now, these sensorial systems mostly relied on range sensors (laser scanner, sonar, active triangulation) and cameras. While electronic noses have barely been employed, they can provide a complementary sensory information, vital for some applications, as with humans. This chapter analyzes the motivation of providing a robot with gas-sensing capabilities and also reviews some of the hurdles that are preventing smell from achieving the importance of other sensing modalities in robotics. The achievements made so far are reviewed to illustrate the current status on the three main fields within robotics olfaction: the classification of volatile substances, the spatial estimation of the gas dispersion from sparse measurements, and the localization of the gas source within a known environment.

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Sensor drone for aerial odor mapping for agriculture and security services

Cited by 42 publications

References 15 publications

Unmanned Aircraft System (UAS) Technology and Applications in Agriculture

Unmanned Aircraft System (UAS) Technology and Applications in Agriculture

Towards Odor-Sensitive Mobile Robots

Towards Odor-Sensitive Mobile Robots

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