Towards an artificial vision-robotic system for tomato identification

Garcia-Luna, Francesco; Morales-Díaz, América Berenice

doi:10.1016/j.ifacol.2016.10.067

Cited by 11 publications

(4 citation statements)

References 6 publications

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“…Most of the studies present solutions for harvesting robots with successful results [109][110][111]. The fruit's physical and mechanical properties were studied by [112] to allow automated harvest and other studies are reported in tomato identification by the artificial vision-robotic system [113]. A pesticide robot spray application was tested in tomatoes that provided encouraging results with the same or improved performance in comparison to traditional pesticide application methods [114].…”

Section: Environmental Controlmentioning

confidence: 99%

Greenhouse Tomato Technologies and Their Influence in Mediterranean Region

Saraiva¹,

Dias²,

Grego³

et al. 2024

Tomato Cultivation and Consumption - Innovation and Sustainability

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Tomato (Solanum lycopersicum L.) is the most consumed vegetable and one of the most studied crops in the world. Over the years, several technologies have been studied and applied to crop production towards higher productivity, quality, and production efficiency. This chapter reviews greenhouse tomato production, cropping systems, and environmental conditioning, focusing on technological developments and the latest reclaimed water trends that have started to take off in the context of increasing water scarcity due to climate change. Following worldwide research trends and policies, the influence of the different technologies in fresh tomato production and the use of reclaimed water or reuse of treated nutrient solution is explored as it is expected to be a great advance in the Mediterranean region in the next years, and it is of the utmost importance, as the region increasingly suffers from climate change effects.

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Section: Environmental Controlmentioning

confidence: 99%

Greenhouse Tomato Technologies and Their Influence in Mediterranean Region

Saraiva¹,

Dias²,

Grego³

et al. 2024

Tomato Cultivation and Consumption - Innovation and Sustainability

View full text Add to dashboard Cite

show abstract

“…Visual perception is fundamental to most robotics systems working in human environments, it is also essential to a wide variety of tasks such as manipulation, tracking, human-robot interaction [26]. [27] Developed a simple and affordable vision-based robotic system for the identification of the Euclidean position of red spheres that emulate ripe tomatoes. This is done by using a RGB-D sensor in a fixed position, together with a 5 DOF manipulator.…”

Section: Characteristics Of Humanoid Robot 31 Vision Systemmentioning

confidence: 99%

A review on humanoid robotics in healthcare

et al. 2018

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Humanoid robots have evolved over the years and today it is in many different areas of applications, from homecare to social care and healthcare robotics. This paper deals with a brief overview of the current and potential applications of humanoid robotics in healthcare settings. We present a comprehensive contextualization of humanoid robots in healthcare by identifying and characterizing active research activities on humanoid robot that can work interactively and effectively with humans so as to fill some identified gaps in current healthcare deficiency.

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“…These techniques have been used for more than 20 years in agricultural applications related to robotics, automation, artificial vision and artificial intelligence (GARCÍA-LUNA et al, 2016). Furthermore, these techniques are quite powerful in situations in which images are used to record multitudes of color channels, collected by means of multispectral cameras, in which each channel can contain information of a smaller number of phenomena and therefore, be able to associate the demonstrated color channels with qualities and characteristics of interest to the study (PRATS-MONTALBÁN et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Control of the Coffee Roasting Stage Using Artificial Vision Techniques

Sarria-González

Ivorra-Martínez

Girón‐Hernández

2019

C.Sci.

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<p>Artificial vision techniques were used to evaluate its application in the control of the coffee roasting stage. Coffee samples of Colombia and Castillo varieties were obtained and analyzed by comparing images during the roasting stage. A one-way ANOVA analysis exhibited 94.28% of similarity of the coffee varieties studied; a multivariate analysis showed significant differences (p<0.05) for the time factor and its interaction with the variety factor, no differences were observed (p>0.05) for the coffee varieties. Additionally, a Principal Component, with two components demonstrated 90.77% of the variance by differentiating the samples in the different roasting times. Therefore, the proposed technique could be used in the control of the coffee roasting stage.</p>

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Towards an artificial vision-robotic system for tomato identification

Cited by 11 publications

References 6 publications

Greenhouse Tomato Technologies and Their Influence in Mediterranean Region

Greenhouse Tomato Technologies and Their Influence in Mediterranean Region

A review on humanoid robotics in healthcare

Control of the Coffee Roasting Stage Using Artificial Vision Techniques

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