Asparagus harvesting robot coordinated with 3-D vision sensor

Irie, Naoki; Taguchi, Nobuyoshi; Horie, Takao; Ishimatsu, Takakazu

doi:10.1109/icit.2009.4939556

Cited by 26 publications

(14 citation statements)

References 7 publications

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“…Although different types of harvesting tools and cutting devices have been developed to collect fruit [29,30,32,[35][36][37][38][39][40][41], their designs have been accomplished empirically in many cases without considering the optimal design as an objective in itself. On the other hand, there are a multitude of patented tools in the market aimed at cutting the stalks of a wide range of plants [42][43][44].…”

Section: Introductionmentioning

confidence: 99%

A Design Criterion Based on Shear Energy Consumption for Robotic Harvesting Tools

et al. 2020

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Smart and precise agriculture has increasingly been developed in the last decade, and with that, the idea of optimizing the tools commonly used in this field. One way to improve these devices, particularly cutting tools conceived for harvesting purposes, is to measure the shear energy consumption required for a particular plant. The aim of this research is to establish both a design criterion for cutting grippers and a quantifiable way to evaluate and classify a harvesting tool for a specific crop. This design criterion could help to minimize energy consumption in future harvesting robots, making them more energy-efficient.

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Section: Introductionmentioning

confidence: 99%

A Design Criterion Based on Shear Energy Consumption for Robotic Harvesting Tools

et al. 2020

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“…The thermal data, meanwhile, proves to be useful in similar occasions of bruise detection [66,67], disease detection [68,69] and maturity evaluation [70,71] by analyzing the temperature variations over the inspected sample. Not least, the most significant application of the imaging technique is the development of automated agricultural robots [72,73,74,75] and animal behavioral studies [76,77].…”

Section: Optics and Photonics Applications In Agriculturementioning

confidence: 99%

“…Spatial and color information attained by the agriculture robot through the imaging technique will greatly improve the efficiency of palm oil plantation management. Automated palm oil fruit harvest is potentially applicable by pinpointing the fruit position as presented in [72,74,75] for other crops. Besides, automated weed detection and removal [73] as well as automated fertilizing can be performed using the developed agriculture robot.…”

Section: Photonics Techniques Implementation In Tropical Countriesmentioning

confidence: 99%

Applications of Photonics in Agriculture Sector: A Review

et al. 2019

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The agricultural industry has made a tremendous contribution to the foundations of civilization. Basic essentials such as food, beverages, clothes and domestic materials are enriched by the agricultural industry. However, the traditional method in agriculture cultivation is labor-intensive and inadequate to meet the accelerating nature of human demands. This scenario raises the need to explore state-of-the-art crop cultivation and harvesting technologies. In this regard, optics and photonics technologies have proven to be effective solutions. This paper aims to present a comprehensive review of three photonic techniques, namely imaging, spectroscopy and spectral imaging, in a comparative manner for agriculture applications. Essentially, the spectral imaging technique is a robust solution which combines the benefits of both imaging and spectroscopy but faces the risk of underutilization. This review also comprehends the practicality of all three techniques by presenting existing examples in agricultural applications. Furthermore, the potential of these techniques is reviewed and critiqued by looking into agricultural activities involving palm oil, rubber, and agro-food crops. All the possible issues and challenges in implementing the photonic techniques in agriculture are given prominence with a few selective recommendations. The highlighted insights in this review will hopefully lead to an increased effort in the development of photonics applications for the future agricultural industry.

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“…This system used a 3-D visual system for a better recognition of the product. Then after recognition, the arm of the robot grasps the asparagus then cuts it [26].…”

Section: Harvesting Roboticsmentioning

confidence: 99%

A Brief Survey on Agricultural Robots

Behmanesh¹,

Hong²,

Kassim³

et al. 2017

IJMERR

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Agriculture has always been one of the most important issues for humankind. During past decades while robotics technologies have been introduced to many industries, agricultural scientists also made advantages of it and improved agricultural methods and products. In this paper the main advantages of the robotics in agriculture by far is presented. The robots that have been used in agricultural researches can be categorized in 4 main types; path navigators, harvesting robots, crop disease detectors and weed detectors which are studied in this paper.

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Asparagus harvesting robot coordinated with 3-D vision sensor

Cited by 26 publications

References 7 publications

A Design Criterion Based on Shear Energy Consumption for Robotic Harvesting Tools

A Design Criterion Based on Shear Energy Consumption for Robotic Harvesting Tools

Applications of Photonics in Agriculture Sector: A Review

A Brief Survey on Agricultural Robots

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