RobHortic: A Field Robot to Detect Pests and Diseases in Horticultural Crops by Proximal Sensing
RobHortic is a remote‐controlled field robot that has been developed for inspecting the presence of pests and diseases in horticultural crops using proximal sensing. The robot is equipped with colour, multispectral, and hyperspectral (400–1000 nm) cameras, located looking at the ground (towards t...
| Main Authors: | , , , , |
|---|---|
| Format: | Artículo |
| Language: | Inglés |
| Published: |
MDPI
2020
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11939/6561 https://www.mdpi.com/2077-0472/10/7/276 |
| _version_ | 1855492108163481600 |
|---|---|
| author | Cubero, Sergio Marco-Noales, Ester Aleixos, Nuria Barbé, Silvia Blasco, José |
| author_browse | Aleixos, Nuria Barbé, Silvia Blasco, José Cubero, Sergio Marco-Noales, Ester |
| author_facet | Cubero, Sergio Marco-Noales, Ester Aleixos, Nuria Barbé, Silvia Blasco, José |
| author_sort | Cubero, Sergio |
| collection | ReDivia |
| description | RobHortic is a remote‐controlled field robot that has been developed for inspecting the
presence of pests and diseases in horticultural crops using proximal sensing. The robot is equipped
with colour, multispectral, and hyperspectral (400–1000 nm) cameras, located looking at the ground
(towards the plants). To prevent the negative influence of direct sunlight, the scene was illuminated
by four halogen lamps and protected from natural light using a tarp. A GNSS (Global Navigation
Satellite System) was used to geolocate the images of the field. All sensors were connected to an onboard
industrial computer. The software developed specifically for this application captured the
signal from an encoder, which was connected to the motor, to synchronise the acquisition of the
images with the advance of the robot. Upon receiving the signal, the cameras are triggered, and the
captured images are stored along with the GNSS data. The robot has been developed and tested
over three campaigns in carrot fields for the detection of plants infected with ‘Candidatus
Liberibacter solanacearum’. The first two years were spent creating and tuning the robot and
sensors, and data capture and geolocation were tested. In the third year, tests were carried out to
detect asymptomatic infected plants. As a reference, plants were analysed by molecular analysis
using a specific real‐time Polymerase Chain Reaction (PCR), to determine the presence of the target
bacterium and compare the results with the data obtained by the robot. Both laboratory and field
tests were done. The highest match was obtained using Partial Least Squares‐Discriminant Analysis
PLS‐DA, with a 66.4% detection rate for images obtained in the laboratory and 59.8% for images
obtained in the field. |
| format | Artículo |
| id | ReDivia6561 |
| institution | Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | ReDivia65612025-04-25T14:47:22Z RobHortic: A Field Robot to Detect Pests and Diseases in Horticultural Crops by Proximal Sensing Cubero, Sergio Marco-Noales, Ester Aleixos, Nuria Barbé, Silvia Blasco, José Robotics LiDAR Spectral imaging Bacterial detection N01 Agricultural engineering precision agriculture Computer vision Remote sensing RobHortic is a remote‐controlled field robot that has been developed for inspecting the presence of pests and diseases in horticultural crops using proximal sensing. The robot is equipped with colour, multispectral, and hyperspectral (400–1000 nm) cameras, located looking at the ground (towards the plants). To prevent the negative influence of direct sunlight, the scene was illuminated by four halogen lamps and protected from natural light using a tarp. A GNSS (Global Navigation Satellite System) was used to geolocate the images of the field. All sensors were connected to an onboard industrial computer. The software developed specifically for this application captured the signal from an encoder, which was connected to the motor, to synchronise the acquisition of the images with the advance of the robot. Upon receiving the signal, the cameras are triggered, and the captured images are stored along with the GNSS data. The robot has been developed and tested over three campaigns in carrot fields for the detection of plants infected with ‘Candidatus Liberibacter solanacearum’. The first two years were spent creating and tuning the robot and sensors, and data capture and geolocation were tested. In the third year, tests were carried out to detect asymptomatic infected plants. As a reference, plants were analysed by molecular analysis using a specific real‐time Polymerase Chain Reaction (PCR), to determine the presence of the target bacterium and compare the results with the data obtained by the robot. Both laboratory and field tests were done. The highest match was obtained using Partial Least Squares‐Discriminant Analysis PLS‐DA, with a 66.4% detection rate for images obtained in the laboratory and 59.8% for images obtained in the field. 2020-07-08T10:07:28Z 2020-07-08T10:07:28Z 2020 article publishedVersion Cubero, Sergio; Marco-Noales, Ester; Aleixos, Nuria; Barbé, Silvia; Blasco, Jose. 2020. RobHortic: A Field Robot to Detect Pests and Diseases in Horticultural Crops by Proximal Sensing. Agriculture 10, no. 7: 276. 2077-0472 http://hdl.handle.net/20.500.11939/6561 10.3390/agriculture10070276 https://www.mdpi.com/2077-0472/10/7/276 en Atribución-NoComercial-SinDerivadas 3.0 España http://creativecommons.org/licenses/by-nc-nd/3.0/es/ openAccess MDPI electronico |
| spellingShingle | Robotics LiDAR Spectral imaging Bacterial detection N01 Agricultural engineering precision agriculture Computer vision Remote sensing Cubero, Sergio Marco-Noales, Ester Aleixos, Nuria Barbé, Silvia Blasco, José RobHortic: A Field Robot to Detect Pests and Diseases in Horticultural Crops by Proximal Sensing |
| title | RobHortic: A Field Robot to Detect Pests and Diseases in Horticultural Crops by Proximal Sensing |
| title_full | RobHortic: A Field Robot to Detect Pests and Diseases in Horticultural Crops by Proximal Sensing |
| title_fullStr | RobHortic: A Field Robot to Detect Pests and Diseases in Horticultural Crops by Proximal Sensing |
| title_full_unstemmed | RobHortic: A Field Robot to Detect Pests and Diseases in Horticultural Crops by Proximal Sensing |
| title_short | RobHortic: A Field Robot to Detect Pests and Diseases in Horticultural Crops by Proximal Sensing |
| title_sort | robhortic a field robot to detect pests and diseases in horticultural crops by proximal sensing |
| topic | Robotics LiDAR Spectral imaging Bacterial detection N01 Agricultural engineering precision agriculture Computer vision Remote sensing |
| url | http://hdl.handle.net/20.500.11939/6561 https://www.mdpi.com/2077-0472/10/7/276 |
| work_keys_str_mv | AT cuberosergio robhorticafieldrobottodetectpestsanddiseasesinhorticulturalcropsbyproximalsensing AT marconoalesester robhorticafieldrobottodetectpestsanddiseasesinhorticulturalcropsbyproximalsensing AT aleixosnuria robhorticafieldrobottodetectpestsanddiseasesinhorticulturalcropsbyproximalsensing AT barbesilvia robhorticafieldrobottodetectpestsanddiseasesinhorticulturalcropsbyproximalsensing AT blascojose robhorticafieldrobottodetectpestsanddiseasesinhorticulturalcropsbyproximalsensing |