A Comprehensive Study of the Potential Application of Flying Ethylene-Sensitive Sensors for Ripeness Detection in Apple Orchards

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)

Abstract

The right moment to harvest apples in fruit orchards is still decided after persistent monitoring of the fruit orchards via local inspection and using manual instrumentation. However, this task is tedious, time consuming, and requires costly human effort because of the manual work that is necessary to sample large orchard parcels. The sensor miniaturization and the advances in gas detection technology have increased the usage of gas sensors and detectors in many industrial applications. This work explores the combination of small-sized sensors under Unmanned Aerial Vehicles (UAV) to understand its suitability for ethylene sensing in an apple orchard. To accomplish this goal, a simulated environment built from field data was used to understand the spatial distribution of ethylene when subject to the orchard environment and the wind of the UAV rotors. The simulation results indicate the main driving variables of the ethylene emission. Additionally, preliminary field tests are also reported. It was demonstrated that the minimum sensing wind speed cut-off is 2 ms-1 and that a small commercial UAV (like Phantom 3 Professional) can sense volatile ethylene at less than six meters from the ground with a detection probability of a maximum of 10 % . This work is a step forward in the usage of aerial remote sensing technology to detect the optimal harvest time.

Original languageEnglish
Article number372
JournalSensors (Basel, Switzerland)
Volume19
Issue number2
DOIs
Publication statusPublished - 17 Jan 2019

Fingerprint

orchards
Orchards
Malus
Ethylene
ethylene
pilotless aircraft
flight
Unmanned aerial vehicles (UAV)
sensors
Sensors
fruits
Remote Sensing Technology
Fruit
Fruits
Gases
Miniaturization
Gas detectors
field tests
miniaturization
Chemical sensors

Keywords

  • apple orchards
  • ethylene gas detection
  • fruit ripeness
  • modeling and simulation
  • unmanned aerial vehicles

Cite this

@article{f7b71ff46d0641178086aa8253e02733,
title = "A Comprehensive Study of the Potential Application of Flying Ethylene-Sensitive Sensors for Ripeness Detection in Apple Orchards",
abstract = "The right moment to harvest apples in fruit orchards is still decided after persistent monitoring of the fruit orchards via local inspection and using manual instrumentation. However, this task is tedious, time consuming, and requires costly human effort because of the manual work that is necessary to sample large orchard parcels. The sensor miniaturization and the advances in gas detection technology have increased the usage of gas sensors and detectors in many industrial applications. This work explores the combination of small-sized sensors under Unmanned Aerial Vehicles (UAV) to understand its suitability for ethylene sensing in an apple orchard. To accomplish this goal, a simulated environment built from field data was used to understand the spatial distribution of ethylene when subject to the orchard environment and the wind of the UAV rotors. The simulation results indicate the main driving variables of the ethylene emission. Additionally, preliminary field tests are also reported. It was demonstrated that the minimum sensing wind speed cut-off is 2 ms-1 and that a small commercial UAV (like Phantom 3 Professional) can sense volatile ethylene at less than six meters from the ground with a detection probability of a maximum of 10 {\%} . This work is a step forward in the usage of aerial remote sensing technology to detect the optimal harvest time.",
keywords = "apple orchards, ethylene gas detection, fruit ripeness, modeling and simulation, unmanned aerial vehicles",
author = "Jo{\~a}o Valente and Rodrigo Almeida and Lammert Kooistra",
year = "2019",
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day = "17",
doi = "10.3390/s19020372",
language = "English",
volume = "19",
journal = "Sensors",
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}

A Comprehensive Study of the Potential Application of Flying Ethylene-Sensitive Sensors for Ripeness Detection in Apple Orchards. / Valente, João; Almeida, Rodrigo; Kooistra, Lammert.

In: Sensors (Basel, Switzerland), Vol. 19, No. 2, 372, 17.01.2019.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Valente, João

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PY - 2019/1/17

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N2 - The right moment to harvest apples in fruit orchards is still decided after persistent monitoring of the fruit orchards via local inspection and using manual instrumentation. However, this task is tedious, time consuming, and requires costly human effort because of the manual work that is necessary to sample large orchard parcels. The sensor miniaturization and the advances in gas detection technology have increased the usage of gas sensors and detectors in many industrial applications. This work explores the combination of small-sized sensors under Unmanned Aerial Vehicles (UAV) to understand its suitability for ethylene sensing in an apple orchard. To accomplish this goal, a simulated environment built from field data was used to understand the spatial distribution of ethylene when subject to the orchard environment and the wind of the UAV rotors. The simulation results indicate the main driving variables of the ethylene emission. Additionally, preliminary field tests are also reported. It was demonstrated that the minimum sensing wind speed cut-off is 2 ms-1 and that a small commercial UAV (like Phantom 3 Professional) can sense volatile ethylene at less than six meters from the ground with a detection probability of a maximum of 10 % . This work is a step forward in the usage of aerial remote sensing technology to detect the optimal harvest time.

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