Devices, systems, and methods for automated monitoring enabling precision agriculture

Jnaneshwar Das, Gareth Cross, Chao Qu, Anurag Makineni, Pratap Tokekar, Yash Mulgaonkar, Vijay Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

63 Citations (Scopus)

Abstract

Addressing the challenges of feeding the burgeoning world population with limited resources requires innovation in sustainable, efficient farming. The practice of precision agriculture offers many benefits towards addressing these challenges, such as improved yield and efficient use of such resources as water, fertilizer and pesticides. We describe the design and development of a light-weight, multi-spectral 3D imaging device that can be used for automated monitoring in precision agriculture. The sensor suite consists of a laser range scanner, multi-spectral cameras, a thermal imaging camera, and navigational sensors. We present techniques to extract four key data products - plant morphology, canopy volume, leaf area index, and fruit counts - using the sensor suite. We demonstrate its use with two systems: multi-rotor micro aerial vehicles and on a human-carried, shoulder-mounted harness. We show results of field experiments conducted in collaboration with growers and agronomists in vineyards, apple orchards and orange groves.

Original languageEnglish (US)
Title of host publication2015 IEEE Conference on Automation Science and Engineering
Subtitle of host publicationAutomation for a Sustainable Future, CASE 2015
PublisherIEEE Computer Society
Pages462-469
Number of pages8
Volume2015-October
ISBN (Electronic)9781467381833
DOIs
StatePublished - Oct 7 2015
Externally publishedYes
Event11th IEEE International Conference on Automation Science and Engineering, CASE 2015 - Gothenburg, Sweden
Duration: Aug 24 2015Aug 28 2015

Other

Other11th IEEE International Conference on Automation Science and Engineering, CASE 2015
CountrySweden
CityGothenburg
Period8/24/158/28/15

Fingerprint

Agriculture
Monitoring
Sensors
Cameras
Orchards
Infrared imaging
Fertilizers
Fruits
Pesticides
Rotors
Innovation
Antennas
Imaging techniques
Lasers
Water
Experiments

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Das, J., Cross, G., Qu, C., Makineni, A., Tokekar, P., Mulgaonkar, Y., & Kumar, V. (2015). Devices, systems, and methods for automated monitoring enabling precision agriculture. In 2015 IEEE Conference on Automation Science and Engineering: Automation for a Sustainable Future, CASE 2015 (Vol. 2015-October, pp. 462-469). [7294123] IEEE Computer Society. https://doi.org/10.1109/CoASE.2015.7294123

Devices, systems, and methods for automated monitoring enabling precision agriculture. / Das, Jnaneshwar; Cross, Gareth; Qu, Chao; Makineni, Anurag; Tokekar, Pratap; Mulgaonkar, Yash; Kumar, Vijay.

2015 IEEE Conference on Automation Science and Engineering: Automation for a Sustainable Future, CASE 2015. Vol. 2015-October IEEE Computer Society, 2015. p. 462-469 7294123.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Das, J, Cross, G, Qu, C, Makineni, A, Tokekar, P, Mulgaonkar, Y & Kumar, V 2015, Devices, systems, and methods for automated monitoring enabling precision agriculture. in 2015 IEEE Conference on Automation Science and Engineering: Automation for a Sustainable Future, CASE 2015. vol. 2015-October, 7294123, IEEE Computer Society, pp. 462-469, 11th IEEE International Conference on Automation Science and Engineering, CASE 2015, Gothenburg, Sweden, 8/24/15. https://doi.org/10.1109/CoASE.2015.7294123
Das J, Cross G, Qu C, Makineni A, Tokekar P, Mulgaonkar Y et al. Devices, systems, and methods for automated monitoring enabling precision agriculture. In 2015 IEEE Conference on Automation Science and Engineering: Automation for a Sustainable Future, CASE 2015. Vol. 2015-October. IEEE Computer Society. 2015. p. 462-469. 7294123 https://doi.org/10.1109/CoASE.2015.7294123
Das, Jnaneshwar ; Cross, Gareth ; Qu, Chao ; Makineni, Anurag ; Tokekar, Pratap ; Mulgaonkar, Yash ; Kumar, Vijay. / Devices, systems, and methods for automated monitoring enabling precision agriculture. 2015 IEEE Conference on Automation Science and Engineering: Automation for a Sustainable Future, CASE 2015. Vol. 2015-October IEEE Computer Society, 2015. pp. 462-469
@inproceedings{266e8eac30654193a787be5642778d14,
title = "Devices, systems, and methods for automated monitoring enabling precision agriculture",
abstract = "Addressing the challenges of feeding the burgeoning world population with limited resources requires innovation in sustainable, efficient farming. The practice of precision agriculture offers many benefits towards addressing these challenges, such as improved yield and efficient use of such resources as water, fertilizer and pesticides. We describe the design and development of a light-weight, multi-spectral 3D imaging device that can be used for automated monitoring in precision agriculture. The sensor suite consists of a laser range scanner, multi-spectral cameras, a thermal imaging camera, and navigational sensors. We present techniques to extract four key data products - plant morphology, canopy volume, leaf area index, and fruit counts - using the sensor suite. We demonstrate its use with two systems: multi-rotor micro aerial vehicles and on a human-carried, shoulder-mounted harness. We show results of field experiments conducted in collaboration with growers and agronomists in vineyards, apple orchards and orange groves.",
author = "Jnaneshwar Das and Gareth Cross and Chao Qu and Anurag Makineni and Pratap Tokekar and Yash Mulgaonkar and Vijay Kumar",
year = "2015",
month = "10",
day = "7",
doi = "10.1109/CoASE.2015.7294123",
language = "English (US)",
volume = "2015-October",
pages = "462--469",
booktitle = "2015 IEEE Conference on Automation Science and Engineering",
publisher = "IEEE Computer Society",

}

TY - GEN

T1 - Devices, systems, and methods for automated monitoring enabling precision agriculture

AU - Das, Jnaneshwar

AU - Cross, Gareth

AU - Qu, Chao

AU - Makineni, Anurag

AU - Tokekar, Pratap

AU - Mulgaonkar, Yash

AU - Kumar, Vijay

PY - 2015/10/7

Y1 - 2015/10/7

N2 - Addressing the challenges of feeding the burgeoning world population with limited resources requires innovation in sustainable, efficient farming. The practice of precision agriculture offers many benefits towards addressing these challenges, such as improved yield and efficient use of such resources as water, fertilizer and pesticides. We describe the design and development of a light-weight, multi-spectral 3D imaging device that can be used for automated monitoring in precision agriculture. The sensor suite consists of a laser range scanner, multi-spectral cameras, a thermal imaging camera, and navigational sensors. We present techniques to extract four key data products - plant morphology, canopy volume, leaf area index, and fruit counts - using the sensor suite. We demonstrate its use with two systems: multi-rotor micro aerial vehicles and on a human-carried, shoulder-mounted harness. We show results of field experiments conducted in collaboration with growers and agronomists in vineyards, apple orchards and orange groves.

AB - Addressing the challenges of feeding the burgeoning world population with limited resources requires innovation in sustainable, efficient farming. The practice of precision agriculture offers many benefits towards addressing these challenges, such as improved yield and efficient use of such resources as water, fertilizer and pesticides. We describe the design and development of a light-weight, multi-spectral 3D imaging device that can be used for automated monitoring in precision agriculture. The sensor suite consists of a laser range scanner, multi-spectral cameras, a thermal imaging camera, and navigational sensors. We present techniques to extract four key data products - plant morphology, canopy volume, leaf area index, and fruit counts - using the sensor suite. We demonstrate its use with two systems: multi-rotor micro aerial vehicles and on a human-carried, shoulder-mounted harness. We show results of field experiments conducted in collaboration with growers and agronomists in vineyards, apple orchards and orange groves.

UR - http://www.scopus.com/inward/record.url?scp=84952795509&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84952795509&partnerID=8YFLogxK

U2 - 10.1109/CoASE.2015.7294123

DO - 10.1109/CoASE.2015.7294123

M3 - Conference contribution

AN - SCOPUS:84952795509

VL - 2015-October

SP - 462

EP - 469

BT - 2015 IEEE Conference on Automation Science and Engineering

PB - IEEE Computer Society

ER -