Limits...
Camera sensor arrangement for crop/weed detection accuracy in agronomic images.

Romeo J, Guerrero JM, Montalvo M, Emmi L, Guijarro M, Gonzalez-de-Santos P, Pajares G - Sensors (Basel) (2013)

Bottom Line: In Precision Agriculture, images coming from camera-based sensors are commonly used for weed identification and crop line detection, either to apply specific treatments or for vehicle guidance purposes.Accuracy of identification and detection is an important issue to be addressed in image processing.There are two main types of parameters affecting the accuracy of the images, namely: (a) extrinsic, related to the sensor's positioning in the tractor; (b) intrinsic, related to the sensor specifications, such as CCD resolution, focal length or iris aperture, among others.

View Article: PubMed Central - PubMed

Affiliation: Department of Software Engineering and Artificial Intelligence, Faculty of Informatics, Complutense University, Madrid 28040, Spain. jromeo99@hotmail.com

ABSTRACT
In Precision Agriculture, images coming from camera-based sensors are commonly used for weed identification and crop line detection, either to apply specific treatments or for vehicle guidance purposes. Accuracy of identification and detection is an important issue to be addressed in image processing. There are two main types of parameters affecting the accuracy of the images, namely: (a) extrinsic, related to the sensor's positioning in the tractor; (b) intrinsic, related to the sensor specifications, such as CCD resolution, focal length or iris aperture, among others. Moreover, in agricultural applications, the uncontrolled illumination, existing in outdoor environments, is also an important factor affecting the image accuracy. This paper is exclusively focused on two main issues, always with the goal to achieve the highest image accuracy in Precision Agriculture applications, making the following two main contributions: (a) camera sensor arrangement, to adjust extrinsic parameters and (b) design of strategies for controlling the adverse illumination effects.

Show MeSH

Related in: MedlinePlus

Different images of the ROI (bright orange cardboard) captured with h = 215 cm and d = 3 m under three different pitch angles: (a) α = 50°; (b) α = 10° and (c) α = 30°.
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC3673087&req=5

f8-sensors-13-04348: Different images of the ROI (bright orange cardboard) captured with h = 215 cm and d = 3 m under three different pitch angles: (a) α = 50°; (b) α = 10° and (c) α = 30°.

Mentions: From Figure 7 we can see that the best pitch angles, in terms of accuracy, are those in which the ROI is placed either at the top of the image which corresponds with α = 50° (Figure 8(a)), or at the bottom of the image with α = 10° (Figure 8(b)), and the worst pitch angle is that in which the ROI is placed at the center of the image with α = 30 (Figure 8(c)). The images in Figure 8 were captured at a height h = 215 cm and a distance d = 3 m. The above conclusion was already reported in [15], although only considering the pitch angle (α) and without the intervention of the height (h). Thus under this more exhaustive study we arrive at the same conclusion with respect the pitch angle.


Camera sensor arrangement for crop/weed detection accuracy in agronomic images.

Romeo J, Guerrero JM, Montalvo M, Emmi L, Guijarro M, Gonzalez-de-Santos P, Pajares G - Sensors (Basel) (2013)

Different images of the ROI (bright orange cardboard) captured with h = 215 cm and d = 3 m under three different pitch angles: (a) α = 50°; (b) α = 10° and (c) α = 30°.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3673087&req=5

f8-sensors-13-04348: Different images of the ROI (bright orange cardboard) captured with h = 215 cm and d = 3 m under three different pitch angles: (a) α = 50°; (b) α = 10° and (c) α = 30°.
Mentions: From Figure 7 we can see that the best pitch angles, in terms of accuracy, are those in which the ROI is placed either at the top of the image which corresponds with α = 50° (Figure 8(a)), or at the bottom of the image with α = 10° (Figure 8(b)), and the worst pitch angle is that in which the ROI is placed at the center of the image with α = 30 (Figure 8(c)). The images in Figure 8 were captured at a height h = 215 cm and a distance d = 3 m. The above conclusion was already reported in [15], although only considering the pitch angle (α) and without the intervention of the height (h). Thus under this more exhaustive study we arrive at the same conclusion with respect the pitch angle.

Bottom Line: In Precision Agriculture, images coming from camera-based sensors are commonly used for weed identification and crop line detection, either to apply specific treatments or for vehicle guidance purposes.Accuracy of identification and detection is an important issue to be addressed in image processing.There are two main types of parameters affecting the accuracy of the images, namely: (a) extrinsic, related to the sensor's positioning in the tractor; (b) intrinsic, related to the sensor specifications, such as CCD resolution, focal length or iris aperture, among others.

View Article: PubMed Central - PubMed

Affiliation: Department of Software Engineering and Artificial Intelligence, Faculty of Informatics, Complutense University, Madrid 28040, Spain. jromeo99@hotmail.com

ABSTRACT
In Precision Agriculture, images coming from camera-based sensors are commonly used for weed identification and crop line detection, either to apply specific treatments or for vehicle guidance purposes. Accuracy of identification and detection is an important issue to be addressed in image processing. There are two main types of parameters affecting the accuracy of the images, namely: (a) extrinsic, related to the sensor's positioning in the tractor; (b) intrinsic, related to the sensor specifications, such as CCD resolution, focal length or iris aperture, among others. Moreover, in agricultural applications, the uncontrolled illumination, existing in outdoor environments, is also an important factor affecting the image accuracy. This paper is exclusively focused on two main issues, always with the goal to achieve the highest image accuracy in Precision Agriculture applications, making the following two main contributions: (a) camera sensor arrangement, to adjust extrinsic parameters and (b) design of strategies for controlling the adverse illumination effects.

Show MeSH
Related in: MedlinePlus