Feature extraction on vineyard by Gustafson Kessel FCM and K-means

Correa, Christian; Valero, Constantino; Elorza, Pilar Barreiro; Diago, María P.; Tardáguila, Javier

doi:10.1109/melcon.2012.6196477

Cited by 12 publications

(11 citation statements)

References 7 publications

(8 reference statements)

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“…23 Blackmore et al 69 argue that the 95% is the lowest barrier for the detection rate in order for the spraying process to be economically feasible. Correa et al 70 reported a 95% hit rate for red grape clusters but with artificial white background. Future work should incorporate into the developed system automatic algorithms and human-robot collaboration to improve detection performance.…”

Section: Discussion: Generalizationmentioning

confidence: 99%

See 1 more Smart Citation

Design and development of a semi‐autonomous agricultural vineyard sprayer: Human–robot interaction aspects

Adamides

Katsanos

Constantinou

et al. 2017

Journal of Field Robotics

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This article presents the design aspects and development processes to transform a general‐purpose mobile robotic platform into a semi‐autonomous agricultural robot sprayer focusing on user interfaces for teleoperation. The hardware and the software modules that must be installed onto the system are described, with particular emphasis on human–robot interaction. Details of the technology are given focusing on the user interface aspects. Two laboratory experiments and two studies in the field to evaluate the usability of the user interface provide evidence for the increased usability of a prototype robotic system. Specifically, the study aimed to empirically evaluate the type of target selection input device mouse and digital pen outperformed Wiimote in terms of usability. A field experiment evaluated the effect of three design factors: (a) type of screen output, (b) number of views, (c) type of robot control input device. Results showed that participants were significantly more effective but less efficient when they had multiple views, than when they had a single view. PC keyboard was also found to significantly outperform PS3 gamepad in terms of interaction efficiency and perceived usability. Heuristic evaluations of different user interfaces were also performed using research‐based HRI heuristics. Finally, a study on participants’ overall user experience found that the system was evaluated positively on the User Experience Questionnaire scales.

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Section: Discussion: Generalizationmentioning

confidence: 99%

“…argue that the 95% is the lowest barrier for the detection rate in order for the spraying process to be economically feasible. Correa et al . reported a 95% hit rate for red grape clusters but with artificial white background.…”

Section: Discussion: Generalizationmentioning

confidence: 99%

Design and development of a semi‐autonomous agricultural vineyard sprayer: Human–robot interaction aspects

Adamides

Katsanos

Constantinou

et al. 2017

Journal of Field Robotics

View full text Add to dashboard Cite

show abstract

“…Examples include the use of an adaptive boosting (AdaBoost) classification framework, accuracy = 0.966 (Luo et al, 2016), and the implementation of the Mahalanobis distance clustering algorithm, accuracy = 0.980 (Diago et al, 2012). An alternative classification approach is an unsupervised classification, which completely forgoes manual training (Correa et al, 2012). For example, k-means clustering (KMC) (Arthur & Vassilvitskii, 2007) is a popular unsupervised technique that computes the average squared distance between pixels to determine suitable clusters.…”

Section: Introductionmentioning

confidence: 99%

Vineyard yield estimation using 2-D proximal sensing: a multitemporal approach

2020

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Vineyard yield estimation is a fundamental aspect in precision viticulture that enables a better understanding of the inherent variability within a vineyard. Yield estimation conducted early in the growing season provides insightful information to ensure the best fruit quality for the maximum desired yield. Proximal sensing techniques provide non-destructive in situ data acquisition for yield estimation during the growing season. This study aimed to determine the ideal phenological stage for yield estimation using 2-dimensional (2-D) proximal sensing and computer vision techniques in a vertical shoot positioned (VSP) vineyard. To achieve this aim, multitemporal digital imagery was acquired weekly over a 12-week period, with a final acquisition two days prior to harvest. Preceding the multitemporal analysis for yield estimation, an unsupervised k-means clustering (KMC) algorithm was evaluated for image segmentation on the final dataset captured before harvest, yielding bunch-level segmentation accuracies as high as 0.942, with a corresponding F1-score of 0.948. The segmentation yielded a pixel area (cm2), which served as input to a cross-validation model for calculating bunch mass (g). The ‘calculated mass’ was linearly regressed against the ‘actual mass’, indicating the capability for estimating vineyard yield. Results of the multitemporal analysis showed that the final stage of berry ripening was the ideal phenological stage for yield estimation, achieving a global r2 of 0.790.

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“…However, the efficiency of the process depends also on the reactors (crystallizers) design and manufacturing. Many problems are associated with this issue as described in (Barrett et al, 2005;Correa et al, 2012). The designing stage should be supported with modeling of the crystallization phenomenon.…”

Section: Introductionmentioning

confidence: 99%

The concept of 3D ECT system with increased border area sensitivity for crystallization processes diagnosis

Wajman

2021

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Purpose Crystallization is the process widely used for components separation and solids purification. The systems for crystallization process evaluation applied so far, involve numerous non-invasive tomographic measurement techniques which suffers from some reported problems. The purpose of this paper is to show the abilities of three-dimensional Electrical Capacitance Tomography (3D ECT) in the context of non-invasive and non-intrusive visualization of crystallization processes. Multiple aspects and problems of ECT imaging, as well as the computer model design to work with the high relative permittivity liquids, have been pointed out. Design/methodology/approach To design the most efficient (from a mechanical and electrical point of view) 3D ECT sensor structure, the high-precise impedance meter was applied. The three types of sensor were designed, built, and tested. To meet the new concept requirements, the dedicated ECT device has been constructed. Findings It has been shown that the ECT technique can be applied to the diagnosis of crystallization. The crystals distribution can be identified using this technique. The achieved measurement resolution allows detecting the localization of crystals. The usage of stabilized electrodes improves the sensitivity of the sensor and provides the images better suitable for further analysis. Originality/value The dedicated 3D ECT sensor construction has been proposed to increase its sensitivity in the border area, where the crystals grow. Regarding this feature, some new algorithms for the potential field distribution and the sensitivity matrix calculation have been developed. The adaptation of the iterative 3D image reconstruction process has also been described.

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Feature extraction on vineyard by Gustafson Kessel FCM and K-means

Cited by 12 publications

References 7 publications

Design and development of a semi‐autonomous agricultural vineyard sprayer: Human–robot interaction aspects

Design and development of a semi‐autonomous agricultural vineyard sprayer: Human–robot interaction aspects

Vineyard yield estimation using 2-D proximal sensing: a multitemporal approach

The concept of 3D ECT system with increased border area sensitivity for crystallization processes diagnosis

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