The use of a low-cost tractor-mounted scanning Light Detection and Ranging (LIDAR) system for capable of making non-destructive recordings of tree-row structure in orchards and vineyards is described. Field tests consisted of several LIDAR measurements on both sides of the crop row, before and after defoliation of selected trees. Summary parameters describing the tree-row volume and the total crop surface area viewed by the LIDAR (expressed as a ratio with ground surface area) were derived using a suitable numerical algorithm. The results for apple and pear orchards and a wine producing vineyard were shown to be in reasonable agreement with the results derived from a destructive leaf sampling method. Also, good correlation was found between...
This study evaluated the capabilities of a LiDAR-based system to characterize poplar trees for bioma...
This paper presents the foundations and applications in agriculture of the main systems used for the...
Received: February 13th, 2021 ; Accepted: November 28th, 2021 ; Published: December 3rd, 2021 ; Corr...
The use of a low-cost tractor-mounted scanning Light Detection and Ranging (LIDAR) system for capabl...
In this work, a LIDAR 3D Dynamic Measurement System, based on a Two-Dimensional Terrestrial Laser-LI...
Light detection and ranging (LiDAR) technology is beginning to have an impact on agriculture. Canop...
LiDAR sensors are widely used in many areas and, in recent years, that includes agricultural tasks. ...
Estimation of grapevine vigour using mobile proximal sensors can provide an indirect method for dete...
In recent years, LIDAR (light detection and ranging) sensors have been widely used to measure enviro...
Canopy characterization is a key factor to improve pesticide application methods in tree crops and v...
Precision orchard management requires non-destructive sensor technologies to identify key sources of...
In this work, a LIDAR-based 3D Dynamic Measurement System is presented and evaluated for the geometr...
The optimization of most pesticide and fertilizer applications is based on overall grove conditions....
Terrestrial laser scanners (TLS) have been used to estimate leaf area and optimise the site-specific...
Efficient information management in orchard characterization leads to more efficient agricultural pr...
This study evaluated the capabilities of a LiDAR-based system to characterize poplar trees for bioma...
This paper presents the foundations and applications in agriculture of the main systems used for the...
Received: February 13th, 2021 ; Accepted: November 28th, 2021 ; Published: December 3rd, 2021 ; Corr...
The use of a low-cost tractor-mounted scanning Light Detection and Ranging (LIDAR) system for capabl...
In this work, a LIDAR 3D Dynamic Measurement System, based on a Two-Dimensional Terrestrial Laser-LI...
Light detection and ranging (LiDAR) technology is beginning to have an impact on agriculture. Canop...
LiDAR sensors are widely used in many areas and, in recent years, that includes agricultural tasks. ...
Estimation of grapevine vigour using mobile proximal sensors can provide an indirect method for dete...
In recent years, LIDAR (light detection and ranging) sensors have been widely used to measure enviro...
Canopy characterization is a key factor to improve pesticide application methods in tree crops and v...
Precision orchard management requires non-destructive sensor technologies to identify key sources of...
In this work, a LIDAR-based 3D Dynamic Measurement System is presented and evaluated for the geometr...
The optimization of most pesticide and fertilizer applications is based on overall grove conditions....
Terrestrial laser scanners (TLS) have been used to estimate leaf area and optimise the site-specific...
Efficient information management in orchard characterization leads to more efficient agricultural pr...
This study evaluated the capabilities of a LiDAR-based system to characterize poplar trees for bioma...
This paper presents the foundations and applications in agriculture of the main systems used for the...
Received: February 13th, 2021 ; Accepted: November 28th, 2021 ; Published: December 3rd, 2021 ; Corr...